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Salman Khan

I'm a computer vision researcher affiliated with IIAI and ANU.

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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}
    }
    

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] [Codes]

    @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. 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.
    [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.
    [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]

    @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. 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. 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}
    }
    
  • 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}
    }
    

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

  • Q. Lai, W. Wang, S. Khan, J. Shen, H. Sun, L. Shao,
    “Human vs Machine Attention in Neural Networks: A Comparative Study,”
    arXiv preprint arXiv:1906.08764, 2019.
    [BibTeX] [PDF]

    @article{lai2019human,
      title={Human vs Machine Attention in Neural Networks: A Comparative Study},
      author={Lai, Qiuxia and Wang, Wenguan and Khan, Salman and Shen, Jianbing and Sun, Hanqiu and Shao, Ling},
      journal={arXiv preprint arXiv:1906.08764},
      year={2019}
    }
    
  • 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",
    }