Publications

A selected list of publications is shown below. For full list, please refer to Google Scholar.

Book

• S. H. Khan, H. Rahmani, S. A. Shah, M. Bennamoun
  “A Guide to Convolutional Neural Networks for Computer Vision,”
  Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, Vol. 8, No. 1 , Pages 1-207, 2018.
  [BibTeX] [Link] [Flyer]

  @article{khan2018guide,
    author = {Khan, Salman H and Rahmani, Hossein and Shah, Syed Afaq and Bennamoun, Mohammed},
    title = {A Guide to Convolutional Neural Networks for Computer Vision},
    journal = {Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers},
    publisher = {Morgan & Claypool Publishers},
    year = {2018},
    volume = {8},
    number = {1},
    pages = {1--207}
  }
  

2024

• M. Maaz, H. Rasheed, S. Khan, F. S. Khan,
  “Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models,”
  Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, (ACL), Bangkok, Thailand, 2024.
  [BibTeX] [PDF] [Code] [Presentation]

  @inproceedings{maaz2024videochatgpt,
    title={Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models},
    author={Maaz, Muhammad and Rasheed, Hanoona and Khan, Salman and Khan, Fahad Shahbaz},
    booktitle={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL)},
    year={2024}
  }
  

• H. A. Rasheed, M. Maaz, S. S. Mullappilly, A. M. Shaker, S. Khan, H. Cholakkal, R. M. Anwer, E. P. Xing, M.-H. Yang, F. S. Khan,
  “GLaMM: Grounding Large Multimodal Model,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF] [Code] [Page]

  @inproceedings{rasheed2024glamm,
    title={GLaMM: Grounding Large Multimodal Model},
    author={Rasheed, Hanoona Abdul and Maaz, Muhammad and Mullappilly, Sahal Shaji and Shaker, Abdelrahman M and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Xing, Eric P and Yang, Ming-Hsuan and Khan, Fahad Shahbaz},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• O. C. Thawakar, M. Naseer, R. M. Anwer, S. Khan, M. Felsberg, M. Shah, F. S. Khan,
  “Composed Video Retrieval via Enriched Context and Discriminative Embeddings,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{thawakar2024video,
    title={Composed Video Retrieval via Enriched Context and Discriminative Embeddings},
    author={Thawakar, Omkar Chakradhar and Naseer, Muzammal and Anwer, Rao Muhammad and Khan, Salman and Felsberg, Michael and Shah, Mubarak and Khan, Fahad Shahbaz},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• W. Hou, S. Chen, S. Chen, Z. Hong, Y. Wang, X. Feng, S. Khan, F. S. Khan, X. You,
  “Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF]

  @inproceedings{hou2024zeroshot,
    title={Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning},
    author={Hou, Wenjin and Chen, Shiming and Chen, Shuhuang and  Hong, Ziming and Wang, Yan and Feng, Xuetao and Khan, Salman and Khan, Fahad Shahbaz and You, Xinge},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• M. Noman, M. Naseer, H. Cholakkal, R. M. Anwer, S. Khan, F. S. Khan,
  “Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{noman2024transformers,
    title={Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery},
    author={Noman, Mubashir and Naseer, Muzammal and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Salman and Khan, Fahad Shahbaz},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• S. Chen, W. Hou, S. Khan, F. S. Khan,
  “Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF]

  @inproceedings{chen2024transformer,
    title={Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning},
    author={Chen, Shiming and Hou, Wenjin and Khan, Salman and Khan, Fahad Shahbaz},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• K. Kuckreja, M. S. Danish, M. Naseer, A. Das, S. Khan, F. S. Khan,
  “GeoChat: Grounded Large Vision-Language Model for Remote Sensing,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{kuckreja2024geochat,
    title={GeoChat: Grounded Large Vision-Language Model for Remote Sensing},
    author={Kuckreja, Kartik and Danish, Muhammad Sohail and Naseer, Muzammal and Das, Abhijit and Khan, Salman and Khan, Fahad Shahbaz},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• S. T. Wasim, M. Naseer, S. Khan, M.-H. Yang, F. S. Khan,
  “Towards Open-Vocabulary Spatio-Temporal Video Grounding,”
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, US, 2024.
  [BibTeX] [PDF]

  @inproceedings{wasim2024videogrounding,
    title={Towards Open-Vocabulary Spatio-Temporal Video Grounding},
    author={Wasim, Syed Talal and Naseer, Muzammal and Khan, Salman and Yang, Ming-Hsuan and Khan, Fahad Shahbaz},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }
  

• Y. Bai, X. Xu, Y. Liu, S. Khan, F. S. Khan, W. Zuo, R. S. M. Goh, C. Feng,
  “Sentence-level Prompts Benefit Composed Image Retrieval,”
  International Conference on Learning Representations, (ICLR), Vienna, Austria, 2024. (Spotlight)
  [BibTeX] [PDF] [Code]

  @inproceedings{bai2024prompts,
    title={Sentence-level Prompts Benefit Composed Image Retrieval},
    author={Bai, Yang and Xu, Xinxing and Liu, Yong and Khan, Salman and Khan, Fahad Shahbaz and Zuo, Wangmeng and Goh, Rick Siow Mong and Feng, Chun-Mei},
    booktitle={International Conference on Learning Representations (ICLR)},
    year={2024}
  }
  

• H. Gani, S. F. Bhat, M. Naseer, S. Khan, P. Wonka,
  “LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts,”
  International Conference on Learning Representations, (ICLR), Vienna, Austria, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{gani2024blueprint,
    title={LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts},
    author={Gani, Hanan and Bhat, Shariq Farooq and Naseer, Muzammal and Khan, Salman and Wonka, Peter},
    booktitle={International Conference on Learning Representations (ICLR)},
    year={2024}
  }
  

• X. Weng, Y. Ni, T. Song, J. Luo, R. M. Anwer, S. Khan, F. S. Khan, L. Huang,
  “Modulate Your Spectrum in Self-Supervised Learning,”
  International Conference on Learning Representations, (ICLR), Vienna, Austria, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{weng2024spectrum,
    title={Modulate Your Spectrum in Self-Supervised Learning},
    author={Weng, Xi and Ni, Yunhao and Song, Tengwei and Luo, Jie and Anwer, Rao Muhammad and Khan, Salman and Khan, Fahad Shahbaz and Huang, Lei},
    booktitle={International Conference on Learning Representations (ICLR)},
    year={2024}
  }
  

• A. Hanif, F. Shamshad, M. Awais, M. Naseer, F. S. Khan, K. Nandakumar, S. Khan, R. Anwer,
  “BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning,”
  International Conference on Medical Image Computing and Computer-Assisted Intervention, (MICCAI), Morocco, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{hanif2024baple,
    title={BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning},
    author={Hanif, Asif and Shamshad, Fahad and Awais, Muhammad and Naseer, Muzammal and Khan, Fahad Shahbaz and Nandakumar, Karthik and Khan, Salman and Anwer, Rao},
    booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
    year={2024}
  }
  

• H. Gani, M. Naseer, F. S. Khan, S. Khan,
  “MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation,”
  International Conference on Medical Image Computing and Computer-Assisted Intervention, (MICCAI), Morocco, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{gani2024medcontext,
    title={MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation},
    author={Gani, Hanan and Naseer, Muzammal and Khan, Fahad Shahbaz and Khan, Salman},
    booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
    year={2024}
  }
  

• H. Watawana, K. Ranasinghe, T. Mahmood, M. Naseer, S. Khan, F. S. Khan,
  “Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning,”
  International Conference on Medical Image Computing and Computer-Assisted Intervention, (MICCAI), Morocco, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{watawana2024hierarchical,
    title={Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning},
    author={Watawana, Hasindri and Ranasinghe, Kanchana and Mahmood, Tariq and Naseer, Muzammal and Khan, Salman and Khan, Fahad Shahbaz},
    booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
    year={2024}
  }
  

• Y. Liu, J. Han, X. Yao, S. Khan, H. Cholakkal, R. M. Anwer, N. Liu, F. S. Khan,
  “Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation,”
  International Conference on Machine Learning, (ICML), Vienna, Austria, 2024.
  [BibTeX] [PDF] [Code]

  @inproceedings{liu2024reciprocative,
    title={Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation},
    author={Liu, Yuanwei and Han, Junwei and Yao, Xiwen and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Liu, Nian and Khan, Fahad Shahbaz},
    booktitle={International Conference on Machine Learning (ICML)},
    year={2024}
  }
  

• S. Zhang, M. Naseer, G. Chen, Z. Shen, S. Khan, K. Zhang, F. S. Khan,
  “Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment,”
  Thirty-Eighth AAAI Conference on Artificial Intelligence, (AAAI), Vancouver, Canada, 2024. (Oral)
  [BibTeX] [PDF] [Code]

  @inproceedings{zhang2024realistic,
    title={Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment},
    author={Zhang, Sheng and Naseer, Muzammal and Chen, Guangyi and Shen, Zhiqiang and Khan, Salman and Zhang, Kun and Khan, Fahad Shahbaz},
    booktitle={Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI)},
    year={2024}
  }
  

2023

• S. S. Mullappilly, A. Shaker, O. Thawakar, H. Cholakkal, R. M. Anwer, S. Khan, F. S. Khan,
  “Arabic Mini-ClimateGPT: A Climate Change and Sustainability Tailored Arabic LLM,”
  Findings of Empirical Methods in Natural Language Processing, (EMNLP), Singapore, 2023.
  (Extended as Jais-Climate as a Chatbot for COP28 - Demo Link)
  [BibTeX] [PDF] [Code]

  @article{mullappilly2023arabicminiclimategpt,
    title={Arabic Mini-ClimateGPT: A Climate Change and Sustainability Tailored Arabic LLM},
    author={Mullappilly, Sahal Shaji and Shaker, Abdelrahman and Thawakar, Omkar and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Salman and Khan, Fahad Shahbaz},
    journal={Empirical Methods in Natural Language Processing (EMNLP)},
    year={2023}
  }
  

• M. A. Munir, S. Khan, M. H. Khan, M. Ali, F. S. Khan,
  “Cal-DETR: Calibrated Detection Transformer,”
  Thirty-seventh Conference on Neural Information Processing Systems, (NeurIPS), New Orleans, US, 2023.
  [BibTeX] [PDF] [Code]

  @article{munir2023caldetr,
    title={Cal-DETR: Calibrated Detection Transformer},
    author={Munir, Muhammad Akhtar and Khan, Salman and Khan, Muhammad Haris and Ali, Mohsen and Khan, Fahad Shahbaz},
    journal={Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
    year={2023}
  }
  

• M. E. A. Boudjoghra, S. K. Al Khatib, J. Lahoud, H. Cholakkal, R. M. Anwer, S. Khan, F. S. Khan,
  “3D Indoor Instance Segmentation in an Open-World,”
  Thirty-seventh Conference on Neural Information Processing Systems, (NeurIPS), New Orleans, US, 2023.
  [BibTeX] [PDF] [Code]

  @article{boudjoghra20233dindoor,
    title={3D Indoor Instance Segmentation in an Open-World},
    author={Boudjoghra, Mohamed El Amine and Al-Khatib, Salwa K. and Lahoud, Jean and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Salman and Khan, Fahad Shahbaz},
    journal={Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
    year={2023}
  }
  

• V. Potlapalli, S. W. Zamir, S. Khan, F. Khan,
  “PromptIR: Prompting for All-in-One Image Restoration,”
  Thirty-seventh Conference on Neural Information Processing Systems, (NeurIPS), New Orleans, US, 2023.
  [BibTeX] [PDF] [Code]

  @inproceedings{potlapalli2023promptir,
    title={PromptIR: Prompting for All-in-One Image Restoration},
    author={Potlapalli, Vaishnav and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
    year={2023}
  }
  

• A. Shaker, M. Maaz, H. Rasheed, S. Khan, M. H. Yang, and F. S. Khan,
  “SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code]

  @article{shaker2023swiftformer,
    title={SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications},
    author={Shaker, Abdelrahman and Maaz, Muhammad and Rasheed, Hanoona and Khan, Salman and  Yang, Ming-Hsuan and Khan, Fahad Shahbaz},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• A. Kumar, A. K. Bhunia, S. Narayan, H. Cholakkal, R. M. Anwer, S. Khan, M. H. Yang, and F. S. Khan,
  “Generative Multiplane Neural Radiance for 3D-Aware Image Generation,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code]

  @article{kumar2023generative,
    title={Generative Multiplane Neural Radiance for 3D-Aware Image Generation},
    author={Kumar, Amandeep and Bhunia, Ankan Kumar and Narayan, Sanath and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Salman and Yang, Ming-Hsuan and Khan, Fahad Shahbaz},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• N. Liu, K. Nan, W. Zhao, Y. Liu, X. Yao, S. Khan, H. Cholakkal, R. M. Anwer, J. Han, and F. S. Khan,
  “Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code]

  @article{liu2023multi,
    title={Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation},
    author={Liu, Nian and Nan, Kepan and Zhao, Wangbo and Liu, Yuanwei and Yao, Xiwen and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Han, Junwei and Khan, Fahad Shahbaz},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• M. H. Khattak, S. T. Wasim, M. Naseer, S. Khan, M. H. Yang, and F. S. Khan,
  “Learning Self-regulating Prompts for Vision-Language Models,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code] [Project Page]

  @article{khattak2023PromptSRC,
    title={Self-regulating Prompts: Foundational Model Adaptation without Forgetting},
    author={khattak, Muhammad Uzair and Wasim, Syed Talal and Muzzamal, Naseer and Khan, Salman and Yang, Ming-Hsuan and Khan, Fahad Shahbaz},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• C. M. Feng, K. Yu, Y. Liu, S. Khan, and W. Zuo,
  “Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code]

  @article{feng2023diverse,
    title={Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning},
    author={Feng, Chun-Mei and Yu, Kai and Liu, Yong and Khan, Salman and Zuo, Wangmeng},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• S. T. Wasim, M. H. Khattak, M. Naseer, S. Khan, M. Shah, and F. S. Khan,
  “Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code] [Project Page]

  @article{wasim2023videofocalnets,
    title={Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition},
    author={Syed Talal Wasim and Muhammad Uzair Khattak and Muzammal Naseer and Salman Khan and Mubarak Shah and Fahad Shahbaz Khan},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• C. M. Feng, K. Yu, N. Liu, X. Xu, S. Khan, and W. Zuo,
  “Towards Instance-adaptive Inference for Federated Learning,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), Paris, France, 2023.
  [BibTeX] [PDF] [Code]

  @article{feng2023towards,
    title={Towards Instance-adaptive Inference for Federated Learning},
    author={Feng, Chun-Mei and Yu, Kai and Liu, Nian and Xu, Xinxing and Khan, Salman and Zuo, Wangmeng},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year={2023}
  }
  

• A. Hanif, M. Naseer, S. Khan, M. Shah, and F. S. Khan,
  “Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation,”
  International Conference on Medical Image Computing and Computer-Assisted Intervention, (MICCAI), Vancouver, Canada, 2023.
  [BibTeX] [PDF] [Code]

  @article{asif2023frequency,
    title={Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation},
    author={Hanif, Asif  and Naseer, Muzammal and  Khan, Salman and Shah, Mubarak and Khan, Fahad Shahbaz},
    journal={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
    year={2023}
  }
  

• A. K. Bhunia, S. Khan, H. Cholakkal, R. M. Anwer, F. S. Khan, J. Laaksonen, and M. Felsberg,
  “Person Image Synthesis via Denoising Diffusion Model,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Vancouver, Canada, 2023.
  [BibTeX] [PDF] [Code] [Colab Demo]

  @article{bhunia2023person,
    title={Person Image Synthesis via Denoising Diffusion Model},
    author={Bhunia, Ankan Kumar and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad  and Laaksonen, Jorma and Shah, Mubarak and Khan, Fahad Shahbaz},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• M. U. Khattak, H. A. Rasheed, M. Maaz, S. Khan, and F. S. Khan,
  “MaPLe: Multi-modal Prompt Learning,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Vancouver, Canada, 2023.
  [BibTeX] [Arxiv] [Project Page] [Code] [Video] [Slides]

  @article{khattak2023maple,
    title={MaPLe: Multi-modal Prompt Learning},
    author={khattak, Muhammad Uzair and Rasheed, Hanoona and Maaz, Muhammad and Khan, Salman and Khan, Fahad Shahbaz},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• H. A. Rasheed, M. U. Khattak, M. Maaz, S. Khan, and F. S. Khan,
  “Fine-tuned CLIP Models are Efficient Video Learners,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Vancouver, Canada, 2023.
  [BibTeX] [Arxiv] [Project Page] [Code] [Video] [Slides]

  @article{hanoona2023finetuned,
    title={Fine-tuned CLIP Models are Efficient Video Learners},
    author={Rasheed, Hanoona Abdul and   Khattak, Muhammd Uzair and Maaz, Muhammad and Khan, Salman and Khan, Fahad Shahbaz},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• S. Zhang, S. Khan, Z. Shen, M. Naseer, G. Chen, and F. S. Khan,
  “PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Vancouver, Canada, 2023.
  [BibTeX] [PDF] [Code]

  @article{zhang2022promptcal,
    title={PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery},
    author={Zhang, Sheng and Khan, Salman and Shen, Zhiqiang and Naseer, Muzammal and Chen, Guangyi and Khan, Fahad Shahbaz},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• A. Dudhane, S. W. Zamir, S. Khan, F. S. Khan, and M. H. Yang,
  “Burstormer: Burst Image Restoration and Enhancement Transformer,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2023.
  [BibTeX] [PDF] [Code]

  @article{dudhane2023burstormer,
    title={Burstormer: Burst Image Restoration and Enhancement Transformer},
    author={Dudhane, Akshay and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad and Yang, Ming-Hsuan},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• N. Mehta, A. Dudhane, S. Murala, S. W. Zamir, S. Khan, and F. S. Khan,
  “Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2023.
  [BibTeX] [PDF] [Code]

  @article{mehta2023gated,
    title={Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement},
    author={Mehta, Nancy and Dudhane, Akshay and Murala, Subrahmanyam and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• M. A. Munir, M. H. Khan, S. Khan, and F. S. Khan,
  “Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2023.
  [BibTeX] [Arxiv] [Code]

  @article{munir2023bridging,
    title={Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection},
    author={ Munir, Muhammad Akhtar and Khan, Muhammad Haris and Khan, Salman and Khan, Fahad},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• L. Li, J. Han, N. Zhang, N. Liu, S. Khan, H. Cholakkal, R. M. Anwer, and F. S. Khan,
  “Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2023.
  [BibTeX] [Arxiv] [Code]

  @article{li2023discriminative,
    title={Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection},
    author={Li, Long and Han, Junwei and Zhang, Ni and Liu, Nian and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Fahad},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

• S. T. Wasim, M. Naseer, S. Khan, F. S. Khan, Mubarak Shah
  “Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2023.
  [BibTeX] [Arxiv] [Code]

  @article{wasim2023vitaclip,
    title={Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting},
    author={Wasim, Syed Talal and  Naseer, Muzammal and Khan, Salman and Khan, Fahad and Shah, Mubarak},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
  }
  

2022

• H. A. Rasheed, M. Maaz, M. U. Khattak, S. Khan, and F. S. Khan,
  “Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection,”
  Advances in Neural Information Processing Systems, (NeurIPS), New Orleans, US, 2022.
  [BibTeX] [Project Page] [Arxiv] [Code] [Video] [Colab Demo]

  @article{hanoona2022bridging,
    title={Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection},
    author={Rasheed, Hanoona Abdul and  Maaz, Muhammad and Khattak, Muhammd Uzair and Khan, Salman and Khan, Fahad},
    journal={Advances in Neural Information Processing Systems},
    year={2022}
  }
  

• X. Weng, L. Huang, L. Zhao, R. M. Anwer, S. Khan, and F. S. Khan,
  “An Investigation into Whitening Loss for Self-supervised Learning,”
  Advances in Neural Information Processing Systems, (NeurIPS), New Orleans, US, 2022. [Spotlight]
  [BibTeX] [Arxiv] [Code]

  @article{weng2022investigation,
    title={An Investigation into Whitening Loss for Self-supervised Learning},
    author={Weng, Xi and Huang, Lei and Zhao, Lei and Anwer, Rao Muhammad and Khan, Salman and Khan, Fahad},
    journal={Advances in Neural Information Processing Systems},
    year={2022}
  }
  

• H. S. Malik, S. Kunhimon, M. Naseer, S. Khan, and F. S. Khan,
  “Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations,”
  33rd British Machine Vision Conference, (BMVC), London, UK, 2022. [Oral]
  [BibTeX] [PDF] [Video] [Poster] [Code]

  @article{malik2022adversarial,
    title={Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations},
    author={Malik, Hashmat Shadab and Kunhimon, Shahina K and Naseer, Muzammal and Khan, Salman and Khan, Fahad Shahbaz},
    journal={33rd British Machine Vision Conference},
    year={2022}
  }
  

• M. Noman, W. Al Ghallabi, D. Najiha, C. Mayer, A. Dudhane, M. Danelljan, H. Cholakkal, S. Khan, L. V. Gool, and F. S. Khan
  “AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility,”
  33rd British Machine Vision Conference, (BMVC), London, UK, 2022.
  [BibTeX] [PDF] [Code] [Dataset]

  @article{noman2022avist,
    title={AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility},
    author = {Noman, Mubashir and Ghallabi, Wafa Al and Najiha, Daniya and Mayer, Christoph and Dudhane, Akshay and Danelljan, Martin and Cholakkal, Hisham and Khan, Salman and Van Gool, Luc and Khan, Fahad Shahbaz},  
    journal={33rd British Machine Vision Conference},
    year={2022}
  }
  

• S. Ramasinghe, K. Fernando, S. Khan, and N. Barnes
  “Robust normalizing flows using Bernstein-type polynomials,”
  33rd British Machine Vision Conference, (BMVC), London, UK, 2022.
  [BibTeX] [PDF]

  @article{ramasinghe2022robust,
    title={Robust normalizing flows using Bernstein-type polynomials},
    author={Ramasinghe, Sameera and Fernando, Kasun and Khan, Salman and Barnes, Nick}
    journal={33rd British Machine Vision Conference},
    year={2022}
  }
  

• M. Maaz, H. A. Rasheed, S. Khan, F. S. Khan, R. M. Anwer and M. H. Yang,
  “Class-agnostic Object Detection with Multi-modal Transformer,”
  17th European Conference on Computer Vision, (ECCV), 2022.
  [BibTeX] [PDF] [Code] [Video] [Slides]

  @article{maaz2022class,
    title={Class-agnostic Object Detection with Multi-modal Transformer},
    author={Maaz, Muhammad and Rasheed, Hanoona Abdul and Khan, Salman and Khan, Fahad Shahbaz and Anwer, Rao Muhammad and Yang, Ming-Hsuan},
    journal={17th European Conference on Computer Vision (ECCV)},
    year={2022}
  }
  

• M. N. Rizve, N. Kardan, S. Khan, F. S. Khan and M. Shah,
  “OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning,”
  17th European Conference on Computer Vision, (ECCV), 2022.
  [BibTeX] [PDF] [Code]

  @article{rizve2022openldn,
    title={OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning},
    author={Rizve, Mamshad Nayeem and Kardan, Navid and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={17th European Conference on Computer Vision (ECCV)},
    year={2022}
  }
  

• W. Cheng, X. Dong, S. Khan and J. Shen,
  “Learning Disentanglement with Decoupled Labels for Vision-Language Navigation,”
  17th European Conference on Computer Vision, (ECCV), 2022. [Oral]
  [BibTeX] [PDF]

  @article{cheng2022learning,
    title={Learning Disentanglement with Decoupled Labels for Vision-Language Navigation},
    author={Cheng, Wenhao and Dong, Xingping and Khan, Salman and Shen, Jianbing},
    journal={17th European Conference on Computer Vision (ECCV)},
    year={2022}
  }
  

• A. K. Bhunia, S. Khan, H. Cholakkal, R. M. Anwer, F. S. Khan, J. Laaksonen, and M. Felsberg,
  “DoodleFormer: Creative Sketch Drawing with Transformers,”
  17th European Conference on Computer Vision, (ECCV), 2022.
  [BibTeX] [PDF] [Code] [Page]

  @article{bhunia2022doodle,
    title={DoodleFormer: Creative Sketch Drawing with Transformers},
    author={Bhunia, Ankan Kumar and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Fahad Shahbaz and Laaksonen, Jorma and Felsberg, Michael},
    journal={17th European Conference on Computer Vision (ECCV)},
    year={2022}
  }
  

• O. Thawakar, S. Narayan, J. Cao, H. Cholakkal, R. M. Anwer, M. H. Khan, S. Khan, M. Felsberg and F. S. Khan,
  “Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer,”
  17th European Conference on Computer Vision, (ECCV), 2022.
  [BibTeX] [PDF] [Code]

  @article{thawakar2022video,
    title={Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer},
    author={Thawakar, Omkar and Narayan, Sanath and Cao, Jiale and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Muhammad Haris and Khan, Salman and Felsberg, Michael and Khan, Fahad Shahbaz},
    journal={17th European Conference on Computer Vision (ECCV)},
    year={2022}
  }
  

• S. W. Zamir, A. Arora, S. Khan, M. Hayat, F. S. Khan, and M. H. Yang,
  “Restormer: Efficient Transformer for High-Resolution Image Restoration,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022. [Oral]
  [BibTeX] [PDF] [Supp. Material] [Codes] [Demo]

  @article{zamir2022restormer,
    title={Restormer: Efficient Transformer for High-Resolution Image Restoration},
    author={Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
  }
  

• A. Dudhane, S. W. Zamir, S. Khan, F. S. Khan, and M. H. Yang,
  “Burst Image Restoration and Enhancement,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022. [Oral] (Best paper award finalist)
  [BibTeX] [PDF] [Codes]

  @article{dudhane2022burst,
    title={Burst Image Restoration and Enhancement},
    author={Dudhane, Akshay and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad and Yang, Ming-Hsuan},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
  }
  

• K. Ranasinghe, M. Naseer, S. Khan, F. S. Khan, and M. Ryoo,
  “Self-supervised Video Transformers,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022. [Oral]
  [BibTeX] [PDF] [Codes] [Project Page]

  @article{ranasinghe2022self,
    title={Self-supervised Video Transformer},
    author={Ranasinghe, Kanchana and Naseer, Muzammal and Khan, Salman and Khan, Fahad Shahbaz and Ryoo, Michael},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
  }
  

• Joseph K. J., S. Khan, F. S. Khan, R. M. Anwer, and V. N. Balasubramanian,
  “Energy-based Latent Aligner for Incremental Learning,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022.
  [BibTeX] [PDF] [Codes]

  @article{joseph2022energy,
    title={Energy-based Latent Aligner for Incremental Learning},
    author={Joseph, KJ and Khan, Salman and Khan, Fahad Shahbaz and Anwar, Rao Muhammad and Balasubramanian, Vineeth},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
  }
  

• A. Gupta, S. Narayan, Joseph K J, S. Khan, F. S. Khan, and M. Shah,
  “OW-DETR: Open-world Detection Transformer,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022.
  [BibTeX] [PDF] [Codes]

  @article{gupta2021ow,
    title={OW-DETR: Open-world Detection Transformer},
    author={Gupta, Akshita and Narayan, Sanath and Joseph, KJ and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
  }
  

• A. Thatipelli, S. Narayan, S. Khan, R. M. Anwer, F. S. Khan, and B. Ghanem,
  “Spatio-temporal Relation Modeling for Few-shot Action Recognition,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022.
  [BibTeX] [PDF] [Codes]

  @article{thatipelli2022spatio,
    title={Spatio-temporal Relation Modeling for Few-shot Action Recognition},
    author={Thatipelli, Anirudh and Narayan, Sanath and Khan, Salman and Anwer, Rao Muhammad and Khan, Fahad Shahbaz and Ghanem, Bernard},
    journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
  }
  

• M. Naseer, K. Ranasinghe, S. Khan, F. Khan, and F. Porikli
  “On Improving Adversarial Transferability of Vision Transformers,”
  10th International Conference on Learning Representations, (ICLR), 2022. [Spotlight]
  [BibTeX] [PDF] [Codes]

  @article{naseer2022improving,
    title={On Improving Adversarial Transferability of Vision Transformers},
    author={Naseer, Muzammal and Ranasinghe, Kanchana and Khan, Salman and Khan, Fahad and Porikli, Fatih},
    journal={International Conference on Learning Representations (ICLR)},
    year={2022}
  }
  

2021

• KJ Joseph, J. Rajasegaran, S. H. Khan, F. S. Khan, and V. Balasubramanian
  “Incremental Object Detection via Meta-learning,”
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), IEEE, 2021. (Journal)
  [BibTeX] [PDF] [Code]

  @article{joseph2020incremental,
    title={Incremental object detection via meta-learning},
    author={Joseph, KJ and Rajasegaran, Jathushan and Khan, Salman and Khan, Fahad Shahbaz and Balasubramanian, Vineeth},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    year={2021}
  }
  

• M. Naseer, K. Ranasinghe, S. H. Khan, M. Hayat, F. S. Khan, and M-H. Yang,
  “Intriguing Properties of Vision Transformers,”
  Advances in Neural Information Processing Systems, (NeurIPS), 2021.
  [BibTeX] [Arxiv] [Code]

  @article{naseer2021intriguing,
    title={Intriguing Properties of Vision Transformers},
    author={Naseer, Muzammal and Ranasinghe, Kanchana and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan},
    journal={Advances in Neural Information Processing Systems},
    year={2021}
  }
  

• S. Ramasinghe, M. Farazi, S. H. Khan, N. Barnes, and S. Gould,
  “Rethinking conditional GAN training: An approach using geometrically structured latent manifolds,”
  Advances in Neural Information Processing Systems, (NeurIPS), 2021.
  [BibTeX] [Arxiv] [Code]

  @article{ramasinghe2021train,
    title={Rethinking conditional GAN training: An approach using geometrically structured latent manifolds},
    author={Ramasinghe, Sameera and Farazi, Moshiur and Khan, Salman and Barnes, Nick and Gould, Stephen},
    journal={Advances in Neural Information Processing Systems},
    year={2021}
  }
  

• S. H. Khan, M. Naseer, M. Hayat, S. W. Zamir, F. S. Khan and M. Shah
  “Transformers in Vision: A Survey,”
  ACM Computing Surveys, 2021.
  [BibTeX] [PDF]

  @article{khan2021transformers,
    title={Transformers in vision: A survey},
    author={Khan, Salman and Naseer, Muzammal and Hayat, Munawar and Zamir, Syed Waqas and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={ACM Computing Surveys},
    year={2021}
  }
  

• J. Rajasegaran, S. Khan, M. Hayat, F. S. Khan and M. Shah,
  “Meta-learning the Learning Trends Shared Across Tasks,”
  32th British Machine Vision Conference, (BMVC), 2021.
  [BibTeX] [PDF] [Code]

  @article{rajasegaran2021meta,
    title={Meta-learning the Learning Trends Shared Across Tasks},
    author={Rajasegaran, Jathushan and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={32nd British Machine Vision Conference},
    year={2021}
  }
  

• J. Rajasegaran, S. Khan, M. Hayat, F. S. Khan and M. Shah,
  “Self-supervised Knowledge Distillation for Few-shot Learning,”
  32th British Machine Vision Conference, (BMVC), 2021.
  [BibTeX] [PDF] [Code]

  @article{rajasegaran2021self,
    title={Self-supervised Knowledge Distillation for Few-shot Learning},
    author={Rajasegaran, Jathushan and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={32nd British Machine Vision Conference},
    year={2021}
  }
  

• M. H. Khan, S. M. T. Zaidi , S. Khan, and F. S. Khan
  “Mode-Guided Feature Augmentation for Domain Generalization,”
  32th British Machine Vision Conference, (BMVC), 2021.
  [BibTeX] [TBA]

  @article{khan2021mode,
    title={Mode-Guided Feature Augmentation for Domain Generalization},
    author={Khan, Muhammad Haris and Zaidi, Syed Muhammad talha and Khan, Salman and Khan, Fahad Shahbaz},
    journal={32nd British Machine Vision Conference},
    year={2021}
  }
  

• M. Afham, S. Khan, M. H. Khan, M. Naseer and F. S. Khan,
  “Rich Semantics Improve Few-shot Learning,”
  32th British Machine Vision Conference, (BMVC), 2021.
  [BibTeX] [PDF] [Code]

  @article{afham2021rich,
    title={Rich Semantics Improve Few-shot Learning},
    author={Afham, Mohamed and Khan, Salman and Khan, Muhammad Haris and Naseer, Muzammal  and  Khan, Fahad Shahbaz},
    journal={32nd British Machine Vision Conference},
    year={2021}
  }
  

• K. Ranasinghe, M. Naseer, M. Hayat, S. H. Khan and F. S. Khan,
  “Orthogonal Projection Loss,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), 2021.
  [BibTeX] [PDF] [Code] [Project Page]

  @article{ranasinghe2021orthogonal,
    title={Orthogonal Projection Loss},
    author={Ranasinghe, Kanchana and  Naseer, Muzammal and Hayat, Munawar and Khan, Salman and Khan, Fahad Shahbaz},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    publisher = {IEEE},
    year={2021}
  }
  

• S. Narayan, A. Gupta, S. H. Khan, F. S. Khan, L. Shao and M. Shah
  “Discriminative Region-based Multi-Label Zero-Shot Learning,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), 2021.
  [BibTeX] [PDF] [Code]

  @article{narayan2021discriminative,
    title={Discriminative Region-based Multi-Label Zero-Shot Learning},
    author={Narayan, Sanath and Gupta, Akshita and Khan, Salman and  Khan, Fahad Shahbaz and Shao, Ling and Shah, Mubarak},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    publisher = {IEEE},
    year={2021}
  }
  

• M. Naseer, S. H. Khan, M. Hayat, F. S. Khan and F. Porikli
  “On Generating Transferable Targeted Perturbations,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), 2021.
  [BibTeX] [PDF] [Code]

  @article{naseer2021generating,
    title={On Generating Transferable Targeted Perturbations},
    author={Naseer, Muzammal and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Porikli, Fatih},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    publisher = {IEEE},
    year={2021}
  }
  

• A. K. Bhunia, S. H. Khan, H. Cholakkal, R. M. Anwer, F. S. Khan and M. Shah
  “Handwriting Transformers,”
  IEEE/CVF International Conference on Computer Vision, (ICCV), 2021.
  [BibTeX] [PDF] [Code]

  @article{bhunia2021handwriting,
    title={Handwriting Transformers},
    author={Naseer, Muzammal and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Porikli, Fatih},
    journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    publisher = {IEEE},
    year={2021}
  }
  

• S. W. Zamir, A. Arora, S. H. Khan, M. Hayat, F. S. Khan, M. H. Yang, and L. Shao,
  “Multi-Stage Progressive Image Restoration,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021.
  [BibTeX] [PDF] [Supplementary Material] [Code]

  @article{zamir2021multi,
    title={Multi-Stage Progressive Image Restoration},
    author={Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan and Shao, Ling},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2021}
  }
  

• K. J. Joseph, S. H. Khan, F. S. Khan and V. N Balasubramanian,
  “Towards Open World Object Detection,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021. (Oral)
  [BibTeX] [PDF] [Code]

  @article{joseph2021towards,
    title={Towards Open World Object Detection},
    author={Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Balasubramanian, Vineeth N},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2021}
  }
  

• M. N. Rizve, S. H. Khan, F. S. Khan, and M. Shah,
  “Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021.
  [BibTeX] [PDF] [Code]

  @article{rizve2021exploring,
    title={Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning},
    author={Rizve, Mamshad Nayeem and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2021}
  }
  

• S. Ramasinghe, K. Ranasinghe, S. Khan, N. Barnes and S. Gould
  “Conditional Generative Modeling via Learning the Latent Space,”
  9th International Conference on Learning Representations, (ICLR), 2021.
  [BibTeX] [PDF] [Codes]

  @article{ramasinghe2021conditional,
    title={Conditional Generative Modeling via Learning the Latent Space},
    author={Ramasinghe, Sameera and Ranasinghe, Kanchana Nisal and Khan, Salman and Barnes, Nick and Gould, Stephen},
    journal={International Conference on Learning Representations (ICLR)},
    year={2021}
  }
  

2020

• H. Cholakkal, G. Sun, S. H. Khan, F. S. Khan, L. Shao and L. V. Gool,
  “Towards Partial Supervision for Generic Object Counting in Natural Scenes,”
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), IEEE, 2020. (Journal)
  [BibTeX] [PDF] [Codes]

  @article{cholakkal2020towards,
    title={Towards Partial Supervision for Generic Object Counting in Natural Scenes},
    author={Cholakkal, Hisham and Sun, Guolei and Khan, Salman and Khan, Fahad Shahbaz and Shao, Ling and Gool, Luc Van},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
    year={2020}
  }
  

• S. W. Zamir, A. Arora, S. H. Khan, M. Hayat, F. Khan, M. H. Yang and L. Shao,
  “Learning Enriched Features for Real Image Restoration and Enhancement,”
  16th European Conference on Computer Vision, (ECCV), Glasgow, Scotland, 2020.
  [BibTeX] [PDF] [Code] [Official Keras Tutorial on MIRNet!]

  @article{zamir2020learning,
    title={Learning Enriched Features for Real Image Restoration and Enhancement},
    author={Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad and Yang, Ming-Hsuan and Shao, Ling},
    journal={16th European Conference on Computer Vision},
    publisher = {Springer},
    year={2020}
  }
  

• G. Sun, S. H. Khan, W. Li, H. Cholakkal, F. Khan, L. V. Gool,
  “Fixing Localization Errors to Improve Image Classification,”
  16th European Conference on Computer Vision, (ECCV), Glasgow, Scotland, 2020.
  [BibTeX] [PDF] [Code]

  @article{sun2020fixing,
    title={Fixing Localization Errors to Improve Image Classification},
    author={Sun, Guolei and Khan, Salman and Li, Wen and Cholakkal, Hisham and Khan, Fahad and Gool, Luc Van},
    journal={16th European Conference on Computer Vision},
    publisher = {Springer},
    year={2020}
  }
  

• S. Ramasinghe, S. H. Khan, N. Barnes and S. Gould,
  “Spectral-GANs for High-Resolution 3D Point-cloud Generation,”
  IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS), Las Vegas, US, 2020.
  [BibTeX] [PDF] [Code]

  @article{ramasinghe2020spectral,
    title={Spectral-GANs for High-Resolution 3D Point-cloud Generation},
    author={Ramasinghe, Sameera and Khan, Salman and Barnes, Nick and Gould, Stephen},
    journal={IEEE/RSJ International Conference on Intelligent Robots and Systems},
    publisher = {IEEE},
    year={2020}
  }
  

• A. Mustafa, S. H. Khan, M. Hayat, R. Goecke, J. Shen and L. Shao,
  “Deeply Supervised Discriminative Learning for Adversarial Defense,”
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), IEEE, 2020. (Journal)
  [BibTeX] [PDF] [Code]

  @article{mustafa2020deeply,
    title={Deeply Supervised Discriminative Learning for Adversarial Defense},
    author={Mustafa, Aamir and Khan, Salman and Hayat, Munawar and Goecke, Roland and Shen, Jianbing and Shao, Ling},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
    year={2020}
  }
  

• S. Rahman, S. H. Khan, N. Barnes and F. S. Khan,
  “Any-Shot Object Detection,”
  Asian Conference on Computer Vision, (ACCV), Kyoto, Japan, 2020.
  [BibTeX] [PDF]

  @article{rahman2020anyshot,
    title={Any-Shot Object Detection},
    author={Rahman, Shafin and Khan, Salman and Barnes, Nick and Khan, Fahad Shahbaz},
    journal={Asian Conference on Computer Vision},
    year={2020}
  }
  

• N. Hayat, M. Hayat, S. Rahman, S. H. Khan, S. W. Zamir and F. S. Khan,
  “Synthesizing the Unseen for Zero-shot Object Detection,”
  Asian Conference on Computer Vision, (ACCV), Kyoto, Japan, 2020.
  [BibTeX] [PDF] [Code]

  @article{hayat2020synthesizing,
    title={Synthesizing the Unseen for Zero-shot Object Detection},
    author={Hayat, Nasir and Hayat, Munawar and Rahman, Shafin and Khan, Salman and Zamir, Syed Waqas and Khan, Fahad Shahbaz},
    journal={Asian Conference on Computer Vision},
    year={2020}
  }
  

• S. Rahman, S. H. Khan and F. Porikli,
  “Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts,”
  International Journal of Computer Vision, (IJCV), 2020. (Journal)
  [BibTeX] [PDF] [Project Page] [Code]

  @article{rahman2020zeroshot,
  title={Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts},
  author={Rahman, Shafin and Khan, Salman and Porikli, Fatih},
  journal={International Journal of Computer Vision (IJCV)},
  publisher={Springer},
  year={2020} 
  }
  

• S. W. Zamir, A. Arora, S. H. Khan, M. Hayat, F. S. Khan, M. H. Yang, and L. Shao,
  “CycleISP: Real Image Restoration via Improved Data Synthesis,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, Washington, US, 2020. [Oral]
  [BibTeX] [PDF] [Supplementary Material] [Code]

  @article{zamir2020cycleisp,
    title={CycleISP: Real Image Restoration via Improved Data Synthesis},
    author={Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan and Shao, Ling},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2020}
  }
  

• M. Naseer, S. H. Khan, M. Hayat, F. S. Khan, and F. Porikli,
  “A Self-supervised Approach for Adversarial Robustness,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, Washington, US, 2020. [Oral]
  [BibTeX] [PDF] [Supplementary Material] [Code]

  @article{naseer2020self,
    title={A Self-supervised Approach for Adversarial Robustness},
    author={Naseer, Muzammal and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Porikli, Fatih},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2020}
  }
  

• J. Rajasegaran, S. H. Khan, M. Hayat, F. S. Khan, and M. Shah,
  “iTAML: An Incremental Task-Agnostic Meta-learning Approach,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, Washington, US, 2020.
  [BibTeX] [PDF] [Supplementary Material] [Code] [Presentation]

  @article{rajasegaran2020itaml,
    title={iTAML: An Incremental Task-Agnostic Meta-learning Approach},
    author={Rajasegaran, Jathushan and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Shah, Mubarak},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2020}
  }
  

• M. H. Khan, J. McDonagh, S. H. Khan, M. Shahabuddin, A. Arora, F. S. Khan, L. Shao and G. Tzimiropoulos,
  “AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, Washington, US, 2020.
  [BibTeX] [PDF] [Arxiv] [Dataset]

  @article{khan2020animalweb,
    title={AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces},
    author={Khan, Muhammad Haris and McDonagh, John and Khan, Salman and Shahabuddin, Muhammad and Arora, Aditya and Khan, Fahad Shahbaz and Shao, Ling and Tzimiropoulos, Georgios},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2020}
  }
  

• Y. Wang, S. H. Khan, A. Gonzalez-Garcia, J. van de Weijer and F. S. Khan,
  “Semi-supervised Learning for Few-shot Image-to-Image Translation,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Seattle, Washington, US, 2020.
  [BibTeX] [PDF] [Supplementary Material] [Code]

  @article{yaxing2020semi,
    title={Semi-supervised Learning for Few-shot Image-to-Image Translation},
    author={Wang, Yaxing and Khan, Salman and  Garcia, Abel Gonzalez and Weijer, Joost van de and Khan, Fahad Shahbaz},
    journal={IEEE Conference on Computer Vision and Pattern Recognition},
    publisher = {IEEE},
    year={2020}
  }
  

• S. Ramasinghe, S. H. Khan, N. Barnes and S. Gould,
  “Representation Learning on Unit Ball with 3D Roto-Translational Equivariance,”
  International Journal of Computer Vision, (IJCV), 2020. (Journal)
  [BibTeX] [PDF]

  @article{ramasinghe2020representation,
    title={Volumetric Convolution: Automatic Representation Learning in Unit Ball},
    author={Ramasinghe, Sameera and Khan, Salman and Barnes, Nick and Stephen, Gould},
    journal={International Journal of Computer Vision},
    publisher = {Springer US},
    year={2020}
  }
  

• S. Anwar, S. H. Khan and N. Barnes,
  “A Deep Journey into Super-resolution: A Survey.,”
  ACM Computing Surveys, (CSUR), 2020. (Journal)
  [BibTeX] [PDF] [Arxiv]

  @article{anwar2020deep,
    title={A Deep Journey into Super-resolution: A Survey.},
    author={Anwar, Saeed and Khan, Salman and Barnes, Nick},
    journal={ACM Computing Surveys},
    publisher = {ACM},
    year={2020}
  }
  

• S. Rahman, S. H. Khan, and N. Barnes,
  “Improved Visual-Semantic Alignment for Zero-Shot Object Detection,”
  34th AAAI Conference on Artificial Intelligence, (AAAI), New York, US, 2020.
  [BibTeX] [PDF] [Project Page] [Arxiv] [Code]

  @article{rahman2020improved,
    title={Improved Visual-Semantic Alignment for Zero-Shot Object Detection},
    author={Rahman, Shafin and Khan, Salman and Barnes, Nick},
    journal={34th AAAI Conference on Artificial Intelligence},
    publisher = {AAAI},
    year={2020}
  }
  

• G. Sun, H. Cholakkal, S. H. Khan, F. S. Khan and L. Shao,
  “Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes,”
  34th AAAI Conference on Artificial Intelligence, (AAAI), New York, US, 2020.
  [BibTeX] [PDF]

  @article{sun2020finegrained,
    title={Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes},
    author={ Sun, Guolei and Cholakkal, Hisham  and Khan, Salman and Khan, Fahad Shahbaz and Shao, Ling},
    journal={34th AAAI Conference on Artificial Intelligence},
    publisher = {AAAI},
    year={2020}
  }
  

• Q. Lai, S. H. Khan, Y. Nie, H. Sun, J. Shen, L. Shao,
  “Understanding More about Human and Machine Attention in Deep Neural Networks,”
  IEEE Transactions on Multimedia, (TMM), 2020. (Journal)
  [BibTeX] [PDF]

  @article{lai2020human,
    title={Understanding More about Human and Machine Attention in Deep Neural Networks},
    author={Lai, Qiuxia and Khan, Salman and Nie, Yongwei and  Sun, Hanqiu and Shen, Jianbing and Shao, Ling},
    journal={IEEE Transactions on Multimedia},
    year={2020}
  }
  

• S. Ramasinghe, S. H. Khan, N. Barnes and S. Gould,
  “Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes,”
  IEEE Winter Conference on Computer Vision, (WACV), 2020.
  [BibTeX] [PDF]

  @article{ramasinghe2020blended,
    title={Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes},
    author={Ramasinghe, Sameera and Khan, Salman and Barnes, Nick and Stephen, Gould},
    journal={Winter Conference on Computer Vision (WACV)},
    publisher = {IEEE},
    year={2020}
  }
  

• S. Ramasinghe, S. H. Khan and N. Barnes,
  “Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification,”
  9th International Conference on Pattern Recognition Applications, Valletta, Malta, 2020. (Best student paper award)
  [BibTeX] [PDF]

  @article{ramasinghe2020learned,
    title={Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification},
    author={Ramasinghe, Sameera and Khan, Salman and Barnes, Nick},
    journal={9th International Conference on Pattern Recognition Applications},
    year={2020}
  }
  

• M. M. Farazi, S. H. Khan and N. Barnes
  “Question-Agnostic Attention for Visual Question Answering,”
  25th International Conference on Pattern Recognition, (ICPR), Milan Italy, 2020.
  [BibTeX] [PDF]

  @article{farazi2020question,
    title={Question-Agnostic Attention for Visual Question Answering},
    author={Farazi, Mohammad Moshiur and Khan, Salman and Barnes, Nick},
    journal={25th International Conference on Pattern Recognition},
    year={2020}
  }
  

2019

• J. Rajasegaran, M. Hayat, S. H. Khan, F. S. Khan and L. Shao,
  “Random Path Selection for Incremental Learning,”
  Advances in Neural Information Processing Systems, (NeurIPS), Vancouver, Canada, 2019.
  [BibTeX] [Arxiv] [Code]

  @article{rajasegaran2019random,
    title={Random Path Selection for Incremental Learning},
    author={Rajasegaran, Jathushan and Hayat, Munawar and Khan, Salman and Khan, Fahad Shahbaz and Shao, Ling},
    journal={Advances in Neural Information Processing Systems},
    year={2019}
  }
  

• M. Naseer, S. H. Khan, H. Khan, F. S. Khan and F. Porikli,
  “Cross-Domain Transferability of Adversarial Perturbations,”
  Advances in Neural Information Processing Systems, (NeurIPS), Vancouver, Canada, 2019.
  [BibTeX] [Arxiv] [Code]

  @article{naseer2019cross,
    title={Cross-Domain Transferability of Adversarial Perturbations},
    author={Naseer, Muzammal and Khan, Salman and Khan, Haris and Khan, Fahad Shahbaz and Porikli, Fatih},
    journal={Advances in Neural Information Processing Systems},
    year={2019}
  }
  

• M. Hayat, S. H. Khan, S. W. Zamir, J. Shen and L. Shao,
  “Gaussian Affinity for Max-margin Class Imbalanced Learning,”
  International Conference on Computer Vision, (ICCV), Seoul, South Korea, 2019.
  [BibTeX] [PDF]

  @article{hayat2019gaussian,
    title={Gaussian Affinity for Max-margin Class Imbalanced Learning},
    author={Hayat, Munawar and Khan, Salman and Zamir, Syed Waqas and Shen, Jianbing and Shao, Ling},
    journal={International Conference on Computer Vision (ICCV)},
    year={2019}
  }
  

• S. Cai, Y. Guo, S. H. Khan, J. Hu and G. Wen,
  “Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss,”
  International Conference on Computer Vision, (ICCV), Seoul, South Korea, 2019.
  [BibTeX] [PDF] [Supplementary Material]

  @article{cai2019ground,
    title={Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss},
    author={Cai, Sudong and Guo, Yulan and Khan, Salman and Hu, Jiwei and Wen, Gongjian},
    journal={International Conference on Computer Vision (ICCV)},
    year={2019}
  }
  

• S. Rahman, S. H. Khan, and N. Barnes,
  “Transductive Learning for Zero-Shot Object Detection,”
  International Conference on Computer Vision, (ICCV), Seoul, South Korea, 2019. [Oral]
  [BibTeX] [PDF] [Supplementary Material] [Code-coming soon]

  @article{rahman2019transductive,
    title={Transductive Learning for Zero-Shot Object Detection},
    author={Rahman, Shafin and Khan, Salman and Barnes, Nick},
    journal={International Conference on Computer Vision (ICCV)},
    year={2019}
  }
  

• A. Mustafa, S. H. Khan, M. Hayat, R. Goecke, J. Shen and L. Shao,
  “Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks,”
  International Conference on Computer Vision, (ICCV), Seoul, South Korea, 2019.
  [BibTeX] [PDF] [Arxiv] [Codes]

  @article{mustafa2019adversarial,
    title={Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks},
    author={Mustafa, Aamir and Khan, Salman and Hayat, Munawar and Goecke, Roland and Shen, Jianbing and Shao, Ling},
    journal={International Conference on Computer Vision (ICCV)},
    year={2019}
  }
  

• A. Mustafa, S. H. Khan, M. Hayat, J. Shen and L. Shao,
  “Image Super-Resolution as a Defense Against Adversarial Attacks,”
  IEEE Transactions on Image Processing (TIP), 2019. (Journal)
  [BibTeX] [PDF] [Codes]

  @article{mustafa2019superresolution,
    title={Image Super-Resolution as a Defense Against Adversarial Attacks},
    author={Mustafa, Amir and Khan, Salman and Hayat, Munawar and Shen, Jianbing and Shao, Ling},
    journal={IEEE Transactions on Image Processing},
    year={2019}
  }
  

• G. Ding, S. Khan, and Z. Tang,
  “Dispersion based Clustering for Unsupervised Person Re-identification,”
  30th British Machine Vision Conference, (BMVC), Cardiff UK, 2019.
  [BibTeX] [PDF]

  @article{ding2019dispersion,
    title={Dispersion based Clustering for Unsupervised Person Re-identification},
    author={Ding, Guodong and Khan, Salman and Tang, Zhenmin},
    journal={30th British Machine Vision Conference},
    year={2019}
  }
  

• S. Rahman, S. Khan, and N. Barnes,
  “Deep0Tag: Deep Multiple Instance Learning for Zero-shot Image Tagging,”
  IEEE Transactions on Multimedia, (TMM), 2019. (Journal)
  [BibTeX] [PDF]

  @article{rahman2019deep0tag,
    title={Deep0Tag: Deep Multiple Instance Learning for Zero-shot Image Tagging},
    author={Rahman, Shafin and Khan, Salman and Barnes, Nick},
    journal={IEEE Transactions on Multimedia},
    year={2019}
  }
  

• S. H. Khan, M. Hayat, S. W. Zamir, J. Shen and L. Shao,
  “Striking the Right Balance with Uncertainty,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Long Beach, US, 2019. [Oral]
  [BibTeX] [PDF]

  @article{khan2019striking,
    title={Striking the Right Balance with Uncertainty},
    author={Khan, Salman and Hayat, Munawar and Zamir, Syed Waqas and Shen, Jianbin and Shao, Ling},
    journal={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2019}
  }
  

• S. H. Khan, Y. Guo, M. Hayat and N. Barnes
  “Unsupervised Primitive Discovery for Improved 3D Generative Modeling,”
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Long Beach, US, 2019.
  [BibTeX] [PDF]

  @article{khan2019unsupervised,
    title={Unsupervised Primitive Discovery for Improved 3D Generative Modeling},
    author={Khan, Salman and Guo, Yulan and Hayat, Munawar and Barnes, Nick},
    journal={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2019}
  }
  

• S. W. Zamir, A. Arora, A. Gupta, S. H. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G. S. Xia, and X. Bai
  “iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images,”
  Workshop on Detecting Objects in Aerial Images, IEEE Conference on Computer Vision and Pattern Recognition, (CVPRw), Long Beach, US, 2019.
  [BibTeX] [PDF] [Dataset Page]

  @article{zamir2019isaid,
    title={iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images},
    author={Zamir, Syed Waqas and Arora, Aditya and Gupta, Akshita and Khan, Salman and Sun, Guolei and Khan, Fahad Shahbaz and Zhu, Fan and Shao, Ling and  Xia, Gui-Song and  Bai, Xiang},
    journal={1st Workshop on Detecting Objects in Aerial Images, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2019}
  }
  

• G. Ding, S. Zhang, S. H. Khan, Z. Tang, J. Zhang and F. Porikli,
  “Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification,”
  IEEE Transactions on Multimedia, (TMM), 2019. (Journal)
  [BibTeX] [PDF]

  @article{ding2019feature,
    title={Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification},
    author={Ding, Guodong and Zhang, Shanshan and Khan, Salman and Tang, Zhenmin and Zhang, Jian and Porikli, Fatih},
    journal={IEEE Transactions on Multimedia},
    year={2019}
  }
  

• M. Naseer, S. H. Khan and F. Porikli,
  “Local Gradients Smoothing: Defense against localized adversarial attacks,”
  IEEE Winter Conference on Applications of Computer Vision, (WACV), Hawaii, US, 2019.
  [BibTeX] [PDF]

  @article{naseer2019local,
    title={Local Gradients Smoothing: Defense against localized adversarial attacks},
    author={Naseer, Muzammal and Khan, Salman and Porikli, Fatih},
    journal={Proceedings of the IEEE Winter Conference on Applications of Computer Vision},
    year={2019}
  }
  

• G. Ding, S. H. Khan, Z. Tang and F. Porikli,
  “Feature Mask Network for Person Re-identification,”
  Pattern Recognition Letters, (PRL), Elsevier, 2019. (Journal)
  [BibTeX] [PDF]

  @article{ding2019feature,
    title={Feature Mask Network for Person Re-identification},
    author={Ding, Guodong and Khan, Salman and Tang, Zhenmin and Porikli, Fatih},
    journal={Pattern Recognition Letters},
    year={2019}
  }
  

• M. Naseer, S. H. Khan and F. Porikli,
  “Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey,”
  IEEE Access, 2019. (Journal)
  [BibTeX] [PDF]

  @article{naseer2019indoor,
    title={Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey},
    author={Naseer, Muzammal and Khan, Salman and Porikli, Fatih},
    journal={IEEE Access},
    volume={7},
    pages={1859--1887},
    year={2019},
    publisher={IEEE}
  }
  

2018

• S. H. Khan, M. Hayat and F. Porikli,
  “Regularization of Deep Neural Networks with Spectral Dropout,”
  Neural Networks (NN), Elsevier, 2018. (Journal)
  [BibTeX] [PDF]

  @article{khan2018regularization,
    title={Regularization of Deep Neural Networks with Spectral Dropout},
    author={Khan, Salman H and Hayat, Munawar and Porikli, Fatih},
    journal={Neural Networks, Elsevier},
    year={2018}
  }
  

• S. Rahman, S. H. Khan and F. Porikli,
  “A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning,”
  IEEE Transactions on Image Processing (TIP), 2018. (Journal)
  [BibTeX] [PDF]

  @article{rahman2018unified,
    title={A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning},
    author={Rahman, Shafin and Khan, Salman H and Porikli, Fatih},
    journal={IEEE Transactions on Image Processing},
    year={2018}
  }
  

• S. Rahman, S. H. Khan and F. Porikli,
  “Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts,”
  Asian Conference on Computer Vision, (ACCV), Perth, Australia, 2018.
  [Project Page] [BibTeX] [PDF] [Code]

  @article{rahman2018zeroshot,
    title={Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts},
    author={Rahman, Shafin and Khan, Salman and Porikli, Fatih},
    journal={Asian Conference on Computer Vision},
    year={2018}
  }
  

• S. Rahman and S. H. Khan,
  “Deep Multiple Instance Learning for Zero-shot Image Tagging,”
  Asian Conference on Computer Vision, (ACCV), Perth, Australia, 2018.
  [BibTeX] [PDF]

  @article{rahman2018deep,
    title={Deep Multiple Instance Learning for Zero-shot Image Tagging},
    author={Rahman, Shafin and Khan, Salman},
    journal={Asian Conference on Computer Vision},
    year={2018}
  }
  

• M. M. Farazi and S. H. Khan,
  “Reciprocal Attention Fusion for Visual Question Answering,”
  29th British Machine Vision Conference, (BMVC), Newcastle UK, 2018.
  [BibTeX] [PDF]

  @article{farazi2018reciprocal,
    title={Reciprocal Attention Fusion for Visual Question Answering},
    author={Farazi, Mohammad Moshiur and Khan, Salman},
    journal={29th British Machine Vision Conference},
    year={2018}
  }
  

• S. Ramasinghe, C. D. Athuraliya and S. H. Khan,
  “A Context-aware Capsule Network for Multi-label Classification,”
  Brain-Driven Computer Vision Workshop, European Conference on Computer Vision, (ECCVw), Munich Germany, 2018.
  [BibTeX] [PDF]

  @article{ramasinghe2018context,
    title={A Context-aware Capsule Network for Multi-label Classification},
    author={Ramasinghe, Sameera and Athuraliya, CD and Khan, Salman },
    journal={Brain-Driven Computer Vision Workshop, European Conference on Computer Vision (ECCV)},
    year={2018}
  }
  

• S. H. Khan, M. Hayat, and N. Barnes,
  “Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation,”
  IEEE Winter Conference on Applications of Computer Vision (WACV), Nevada USA, 2018.
  [BibTeX] [PDF]

  @article{khan2018adversarial,
    author = {Khan, Salman H and Hayat, Munawar and Barnes, Nick},
    title = {Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation},
    journal = {Proceedings of the IEEE Winter Conference on Applications of Computer Vision},
    year = {2018}
  }
  

• M. A. Armin, N. Barnes, S. Khan, M. Liu, F. Grimpen and O. Salvado,
  “Unsupervised learning of endoscopy video frames' correspondences from global and local transformation,”
  Workshop on Computer Assisted Robotic Endoscopy, 21st International Conference on Medical Image Computing \& Computer Assisted Intervention (MICCAIw), Granada, Spain, 2018.
  [BibTeX] [PDF]

  @article{armin2018unsupervised,
    author = {Armin, Mohammad A and Barnes, Nick and Khan, Salman and Liu, Miaomiao and Grimpen, Florian and Salvado, Olivier},
    title = {Unsupervised learning of endoscopy video frames' correspondences from global and local transformation},
    journal = {Workshop on Computer Assisted Robotic Endoscopy, 21st International Conference on Medical Image Computing \& Computer Assisted Intervention},
    year = {2018}
  }
  

• G. Ding, S. Zhang, S. Khan and Z. Tang,
  “Center based Pseudo-Labeling for semi-supervised Person Re-identification,”
  Multimodal Biometrics Learning Workshop, IEEE International Conference on Multimedia and Expo (ICMEw), San Diego, USA, 2018.
  [BibTeX] [PDF]

  @article{ding2018center,
    author = { Ding,Guodong and Zhang, Shanshan and Khan, Salman and Tang, Zhenmin},
    title = {Center based Pseudo-Labeling for semi-supervised Person Re-identification},
    journal = {Multimodal Biometrics Learning Workshop, IEEE International Conference on Multimedia and Expo},
    year = {2018}
  }
  

2017

• S. H. Khan, M. Hayat, M. Bennamoun, F. Sohel and R. Togneri,
  “Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data,”
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017. (Journal)
  [BibTeX] [PDF] [Supp. Material]

  @article{khan2017cost,
    author = {Khan, Salman H and Hayat, Munawar and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data},
    journal = {IEEE Transactions on Neural Networks and Learning Systems},
    year = {2017}
  }
  

• S. H. Khan, X. He, F. Porikli and M. Bennamoun
  “Forest Change Detection in Incomplete Satellite Images with Deep Neural Networks,”
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2017. (Journal)
  [BibTeX] [PDF]

  @article{khan2017forest,
    author = {Khan, Salman H and He, Xuming and Porikli, Fatih and Bennamoun, Mohammed},
    title = {Forest Change Detection in Incomplete Satellite Images with Deep Neural Networks},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    year = {2017}
  }
  

• M. Hayat, S. H. Khan and M. Bennamoun
  “Empowering Simple Binary Classifiers for Image Set based Face Recognition,”
  International Journal of Computer Vision (IJCV), 2017. (Journal)
  [BibTeX] [PDF]

  @article{hayat2016spatial,
    author = {Hayat, Munawar and Khan, Salman H and Bennamoun, Mohammed},
    title = {Empowering Simple Binary Classifiers for Image Set based Face Recognition},
    journal = {International Journal of Computer Vision },
    year = {2017}
  }
  

• S. H. Khan, M. Hayat, and F. Porikli,
  “Scene Categorization with Spectral Features,”
  IEEE International Conference on Computer Vision (ICCV), 2017.
  [BibTeX] [PDF]

  @article{khan2017scene,
    author = {Khan, Salman H and Hayat, Munawar and Porikli, Fatih},
    title = {Scene Categorization with Spectral Features},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    year = {2017}
  }
  

• S. H. Khan, X. He, F. Porikli, M. Bennamoun, F. Sohel and R. Togneri,
  “Learning deep structured network for weakly supervised change detection,”
  International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  [BibTeX] [PDF]

  @article{khan2017learning,
    author = {Khan, Salman H and He, Xuming and Porikli, Fatih and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Learning deep structured network for weakly supervised change detection},
    journal = {Proceedings of the International Joint Conference on Artificial Intelligence},
    year = {2017}
  }
  

• M. Hayat, S. H. Khan, N. Werghi and R. Goecke,
  “Joint Registration and Representation Learning for Unconstrained Face Identification,”
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  [BibTeX] [PDF]

  @inproceedings{hayat2017towards,
    author = {Hayat, Munawar and Khan, Salman H and Werghi, Naoufel and Goecke, Roland},
    title = {Joint Registration and Representation Learning for Unconstrained Face Identification},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    year = {2017},
    pages = {--}
  }
  

2016

• S. H. Khan, M. Bennamoun, F. Sohel and R. Togneri,
  “Automatic shadow detection and removal from a single image,”
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 3, pp. 431-446, 2016. (Journal)
  [BibTeX] [PDF]

  @article{khan2016automatic,
    author = {Khan, Salman H and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Automatic shadow detection and removal from a single image},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence },
    publisher = {IEEE},
    year = {2016},
    volume = {38},
    number = {3},
    pages = {431--446}
  }
  

• S. H. Khan, M. Bennamoun, F. Sohel, R. Togneri and I. Naseem,
  “Integrating geometrical context for semantic labeling of indoor scenes using rgbd images,”
  International Journal of Computer Vision (IJCV), vol. 117, no. 1, pp. 1-20, 2016. (Journal)
  [BibTeX] [PDF]

  @article{khan2016integrating,
    author = {Khan, Salman H and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto and Naseem, Imran},
    title = {Integrating geometrical context for semantic labeling of indoor scenes using rgbd images},
    journal = {International Journal of Computer Vision},
    publisher = {Springer US},
    year = {2016},
    volume = {117},
    number = {1},
    pages = {1--20}
  }
  

• M. Hayat, S. H. Khan, M. Bennamoun and S. An,
  “A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification,”
  IEEE Transactions on Image Processing (TIP), 2016. (Journal)
  [BibTeX] [PDF]

  @article{hayat2016spatial,
    author = {Hayat, Munawar and Khan, Salman H and Bennamoun, Mohammed and An, Senjian},
    title = {A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification},
    journal = {IEEE Transactions on Image Processing },
    year = {2016}
  }
  

• S. H. Khan, M. Hayat, M. Bennamoun, R. Togneri and F. A. Sohel,
  “A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,”
  IEEE Transactions on Image Processing (TIP), vol. 25, no. 7, pp. 3372-3383, 2016. (Journal)
  [BibTeX] [PDF] [OCIS Dataset]

  @article{khan2016discriminative,
    author = {Khan, Salman H and Hayat, Munawar and Bennamoun, Mohammed and Togneri, Roberto and Sohel, Ferdous A},
    title = {A Discriminative Representation of Convolutional Features for Indoor Scene Recognition},
    journal = {IEEE Transactions on Image Processing},
    publisher = {IEEE},
    year = {2016},
    volume = {25},
    number = {7},
    pages = {3372--3383}
  }
  

2015

• S. H. Khan and M. A. Akbar,
  “Multi-Factor Authentication on Cloud,”
  IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 1-7, 2015.
  [BibTeX] [PDF]

  @inproceedings{khan2015multi,
    author = {Khan, Salman H and Akbar, M Ali},
    title = {Multi-Factor Authentication on Cloud},
    booktitle = {Proceedings of the IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
    year = {2015},
    pages = {1--7}
  }
  

• S. An, M. Hayat, S. H. Khan, M. Bennamoun, F. Boussaid and F. Sohel,
  “Contractive Rectifier Networks for Nonlinear Maximum Margin Classification,”
  IEEE International Conference on Computer Vision (ICCV), pp. 2515-2523, 2015.
  [BibTeX] [PDF]

  @inproceedings{an2015contractive,
    author = {An, Senjian and Hayat, Munawar and Khan, Salman H and Bennamoun, Mohammed and Boussaid, Farid and Sohel, Ferdous},
    title = {Contractive Rectifier Networks for Nonlinear Maximum Margin Classification},
    booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
    year = {2015},
    pages = {2515--2523}
  }
  

• S. H. Khan, X. He, M. Bennamoun, F. Sohel and R. Togneri,
  “Separating objects and clutter in indoor scenes,”
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4603-4611, 2015.
  [BibTeX] [PDF] [Supp. Material] [Poster] [Presentation] [Extended Abstract]

  @inproceedings{khan2015separating,
    author = {Khan, Salman H and He, Xuming and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Separating objects and clutter in indoor scenes},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    year = {2015},
    pages = {4603--4611}
  }
  

• S. H. Khan, M. Bennamoun, F. Sohel and R. Togneri,
  “Geometry Driven Semantic Labeling of Indoor Scenes,”
  Scene Understanding Workshop (SUNw) held with (CVPR), 2015.
  [BibTeX] [Extended Abstract]

  @inproceedings{khan2014geometry,
    author = {Khan, Salman Hameed and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Geometry Driven Semantic Labeling of Indoor Scenes},
    booktitle = {European Conference on Computer Vision (ECCV), Switzerland, 2014},
    year = {2014},
    pages = {Part--I}
  }
  

2014 and Older

• S. H. Khan, M. Bennamoun, F. Sohel and R. Togneri,
  “Geometry Driven Semantic Labeling of Indoor Scenes,”
  European Conference on Computer Vision, Switzerland, (ECCV), pp. Part-I, 2014.
  [BibTeX] [Plane Detection Code] [PDF]

  @inproceedings{khan2014geometry,
    author = {Khan, Salman Hameed and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Geometry Driven Semantic Labeling of Indoor Scenes},
    booktitle = {European Conference on Computer Vision (ECCV), Switzerland, 2014},
    year = {2014},
    pages = {Part--I}
  }
  

• S. H. Khan, M. Bennamoun, F. Sohel and R. Togneri,
  “Automatic Feature Learning for Robust Shadow Detection,”
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1939-1946, 2014.
  [BibTeX] [PDF]

  @inproceedings{khan2014automatic,
    author = {Khan, Salman Hameed and Bennamoun, Mohammed and Sohel, Ferdous and Togneri, Roberto},
    title = {Automatic Feature Learning for Robust Shadow Detection},
    booktitle = {IEEE 27th International Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2014},
    pages = {1939--1946}
  }
  

• S. H. Khan, Z. Khan and F. Shafait,
  “Can Signature Biometrics Address Both Identification and Verification Problems?,”
  12th International Conference on Document Analysis and Recognition (ICDAR), pp. 981-985, 2013.
  [BibTeX] [PDF]

  @inproceedings{khan2013can,
    author = {Khan, Salman H and Khan, Zeeshan and Shafait, Faisal},
    title = {Can Signature Biometrics Address Both Identification and Verification Problems?},
    booktitle = {Document Analysis and Recognition (ICDAR), 2013 12th International Conference on},
    year = {2013},
    pages = {981--985}
  }
  

• S. H. Khan and M. Sohail,
  “Activity Monitoring of Workers Using Single Wearable Inertial Sensor,”
  International Conference on Open Source Systems and Technologies (ICOSST), pp. 60-67, 2013.
  [BibTeX] [PDF]

  @inproceedings{khan2013activity,
    author = {Khan, Salman Hameed and Sohail, Muhammad},
    title = {Activity Monitoring of Workers Using Single Wearable Inertial Sensor},
    booktitle = {International Conference on Open Source Systems and Technologies (ICOSST)},
    year = {2013},
    pages = {60--67}
  }
  

• S. Qaisar, S. H. Khan and S. Imtiaz,
  “Neural network and physiological parameters based control of artificial pancreas for improved patient safety,”
  Computational Science and Its Applications (ICCSA), pp. 339-351, 2012.
  [BibTeX] [PDF]

  @article{qaisar2012neural,
    author = {Qaisar, Saad and Khan, Salman and Imtiaz, Sahar},
    title = {Neural network and physiological parameters based control of artificial pancreas for improved patient safety},
    journal = {Computational Science and Its Applications--ICCSA 2012},
    publisher = {Springer Berlin/Heidelberg},
    year = {2012},
    pages = {339--351}
  }
  

• S. H. Khan, M. A. Akbar, F. Shahzad, M. Farooq and Z. Khan,
  “Secure biometric template generation for Multi-Factor authentication,”
  Pattern Recognition (PR), 2014. (Journal)
  [BibTeX] [PDF]

  @article{khan2014secure,
    author = {Khan, Salman H. and Akbar, M. Ali and Shahzad, Farrukh and Farooq, Mudassar and Khan, Zeashan},
    title = {Secure biometric template generation for Multi-Factor authentication},
    journal = {Pattern Recognition},
    publisher = {Elsevier},
    year = {2014}
  }
  

• M. N. Anwar and S. H. Khan,
  “Trial-by-Trial Adaptation of Movements during Mental Practice under Force Field,”
  Computational and Mathematical Methods in Medicine (CMMM), vol. 2013, 2013. (Journal)
  [BibTeX] [PDF]

  @article{anwar2013trial,
    author = {Anwar, Muhammad Nabeel and Khan, Salman Hameed},
    title = {Trial-by-Trial Adaptation of Movements during Mental Practice under Force Field},
    journal = {Computational and Mathematical Methods in Medicine},
    publisher = {Hindawi},
    year = {2013},
    volume = {2013}
  }
  

• S. H. Khan, A. H. Khan and Z. Khan,
  “Artificial Pancreas Coupled Vital Signs Monitoring for Improved Patient Safety,”
  Arabian Journal for Science and Engineering (AJSE), vol. 38, no. 11, pp. 3093-3102, 2013. (Journal)
  [BibTeX] [PDF]

  @article{khan2013artificial,
    author = {Khan, Salman Hameed and Khan, Arsalan Hameed and Khan, Zeashan Hameed},
    title = {Artificial Pancreas Coupled Vital Signs Monitoring for Improved Patient Safety},
    journal = {Arabian Journal for Science and Engineering},
    publisher = {Springer Berlin Heidelberg},
    year = {2013},
    volume = {38},
    number = {11},
    pages = {3093--3102}
  }
  

Archive Papers and Technical Reports

• G. Ding, S. H. Khan, Z. Tang, J. Zhang and F. Porikli,
  “Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification,”
  arXiv preprint arXiv:1906.01308, 2019.
  [BibTeX] [PDF] [Code]

  @article{ding2019towards,
    title={Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification},
    author={Ding, Guodong and Khan, Salman and Tang, Zhenmin and Zhang, Jian and Porikli, Fatih},
    journal={arXiv preprint arXiv:1906.01308},
    year={2019}
  }
  

• S. Ramasinghe, S. H. Khan and N. Barnes,
  “Volumetric Convolution: Automatic Representation Learning in Unit Ball,”
  arXiv preprint arXiv:1901.00616, 2019.
  [BibTeX] [PDF]

  @article{ramasinghe2019volumetric,
    title={Volumetric Convolution: Automatic Representation Learning in Unit Ball},
    author={Ramasinghe, Sameera and Khan, Salman and Barnes, Nick},
    journal={arXiv preprint arXiv:1901.00616},
    year={2019}
  }
  

• M. R. Farazi, S. H. Khan and N. Barnes,
  “From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts,”
  arXiv preprint arXiv:1811.12772, 2018.
  [BibTeX] [PDF]

  @article{farazi2018known,
    title={From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts},
    author={Farazi, Moshiur and Khan, Salman and Barnes, Nick},
    journal={arXiv preprint arXiv:1811.12772},
    year={2018}
  }
  

• M. Naseer, S. H. Khan, S. Rahman and F. Porikli,
  “Distorting Neural Representations to Generate Highly Transferable Adversarial Examples,”
  arXiv preprint arXiv:1811.09020, 2018.
  [BibTeX] [PDF]

  @article{naseer2018distorting,
    title={Distorting Neural Representations to Generate Highly Transferable Adversarial Examples},
    author={Naseer, Muzammal and Khan, Salman and Rahman, Shafin and Porikli, Fatih},
    journal={arXiv preprint arXiv:1811.09020},
    year={2018}
  }
  

• F. Shahzad, M. Akbar, S. Khan and M. Farooq,
  “Tstructdroid: Realtime malware detection using in-execution dynamic analysis of kernel process control blocks on android,”
  National University of Computer & Emerging Sciences, Islamabad, Pakistan, Tech. Rep, 2013.
  [BibTeX] [PDF]

  @article{shahzad2013tstructdroid,
    author = {Shahzad, Farrukh and Akbar, M and Khan, S and Farooq, Muddassar},
    title = {Tstructdroid: Realtime malware detection using in-execution dynamic analysis of kernel process control blocks on android},
    journal = {National University of Computer & Emerging Sciences, Islamabad, Pakistan, Tech. Rep},
    year = {2013}
  }
  

Book Chapters

• A. H. Khan, Z. Khan and S. H. Khan,
  “Optimized Reconfigurable Autopilot Design for an Aerospace CPS,”
  Computational Intelligence for Decision Support in Cyber-Physical Systems, pp. 381-420, 2014.
  [BibTeX] [PDF]

  @article{khan2014optimized,
    author = {Khan, Arsalan H and Khan, Zeashan H and Khan, Salman H},
    title = {Optimized Reconfigurable Autopilot Design for an Aerospace CPS},
    journal = {Computational Intelligence for Decision Support in Cyber-Physical Systems},
    publisher = {Springer Singapore},
    year = {2014},
    pages = {381--420}
  }
  

• S. H. Khan, A. H. Khan and Z. Khan,
  “Using computational intelligence for improved teleoperation over wireless network,”
  Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine: Applications in Business, Engineering, and Medicine (2012), vol. 102, 2012.
  [BibTeX] [PDF]

  @article{khan2012using,
    author = {Khan, Salman H and Khan, Arsalan H and Khan, Zeashan H},
    title = {Using computational intelligence for improved teleoperation over wireless network},
    journal = {Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine: Applications in Business, Engineering, and Medicine (2012)},
    year = {2012},
    volume = {102}
  }
  

Thesis

• Salman H. Khan,
  “Feature learning and structured prediction for scene understanding,”
  Doctoral thesis: The University of Western Australia, 2016.
  [BibTeX] [PDF]

  @article{khan2016thesis ,
    author = {Khan, Salman H},
    title = {Feature learning and structured prediction for scene understanding},
    keywords = {Deep learning, Graphical models, Segmentation, Detection, Scene understanding, Learning/Inference, Geometry estimation, Classification},
    year = "2016",
  }