I am an Associate Professor at MBZUAI. Previously, I was a Senior Scientist at Inception Institute of Artificial Intelligence during 2018-2020 and a Research Scientist in the Computer Vision Research Group (CVRG) at Data61, CSIRO (Commonwealth Scientific and Industrial Research Organization) from 2016-18. I am also an adjunct faculty member at College of Electrical & Computer Science (CECS), Australian National University (ANU) since 2016. I was research visitor at NICTA (National ICT Australia) in 2015 and served as a research affiliate with Australian Center for Robotic Vision (ACRV) during 2016-18.
I have been actively working on learning from limited data (zero and few-shot learning), adversarial robustness of deep neural networks and continual life-long learning systems for computer vision problems. The above-mentioned tasks can help us realize intelligent autonomous systems that can better understand the real-world for improved recognition, detection, segmentation and detailed scene comprehension.
I am looking for exceptional Research internship candidates at MBZUAI. Research interns must have good grades in their BS/MS programs (top 10% of their class) and should have relevant background in computer vision/machine learning (demonstrated through relevant coursework and past projects). Prior publication record in CVPR/ECCV/ICCV/NeurIPS/ICLR/ICML is a big plus. Please drop me an email with your CV and link to Github profile.
- Acting as an Area Chair for NeurIPS’22 and ACML’22.
- Six papers accepted to CVPR 2022 (including 3 Orals)! Congratulations to all the students and collaborators. [Mar’22]
- Our paper on improving adversarial transferability of ViTs accepted in ICLR’22 as a spotlight (rate 5%). Congratulations Muzammal and Kanchana!
- Glad to share that my Ph.D. student, Dr. Shafin Rahman has been awarded the J.G. Crawford Prize for the best thesis at ANU (Science Category). Congratulations Shafin!
- Organizing TPAMI Special Issue on “Transformers in Vision” (Deadline: 15 Dec 2021)
- I will be serving as an Area Chair for CVPR’22.
- Our paper on Incremental Object Detection accepted in TPAMI. [Oct’21]
- Two papers accepted to upcoming NeurIPS’21. Congratulations to Sameera, Muzammal and Kanchana! [Oct’21]
- Four papers accepted to upcoming ICCV’21. Congratulations to Kanchana, Muzammal, Akshita, Sanath and Ankan! [Jul’21]
- CVPR2021 Outstanding Reviewer! [May’21]
- Three papers (including one Oral) are accepted to CVPR’21. Congratulations to Waqas, Joseph and Rizve! [Mar’21]
- Our paper on Conditional Generative Modelling accepted to ICLR’21 [Jan’21]
- Paper on object counting accepted to IEEE TPAMI [Sep’20]
- Two papers accepted to ECCV’20. Congratulations to Waqas and Guolei! [Jul’20]
- A paper on ZSD accepted to IJCV, Springer. [Jul’20]
- Paper on Spectral-GAN accepted to IROS’20. [Jun’20]
- A paper accepted in TPAMI on adversarial defense. [Mar’20]
- Five papers accepted at CVPR’20 (2 orals). Congratulations to Muzammal, Jathushan, Yaxing, Waqas and Haris. [Mar’20]
- A paper accepted in ACM Computing Surveys. [Mar’20]
- Our paper won the best student paper award at ICPRAM’20. Congratulations to Sameera. [Feb’20]
- Paper accepted in IJCV. Congratulations to Sameera! [Dec’19]
- Our papers on fine-grained recognition and zero-shot detection are accepted in AAAI’20, New York. [Nov’19]
- Two papers accepted in NeurIPS’19, Vancouver. Congratulations to Jathushan and Muzammal! [Sep’19]
- A Large-scale Instance Segmentation Dataset for Aerial Images (iSAID) is available for download. [Aug’19]
- Four papers accepted in upcoming ICCV’19 (including 1 oral). Congratulations to Aamir, Shafin and Sudong! [Jul’19]
- Selected for the ‘Outstanding Reviewer Award’ at CVPR’19 [May’19]
- We have claimed 2nd position in CVPR-NTIRE 2019 Image Enhancement Challenge [Apr’19]
- Two papers (1 oral, 1 poster) accepted in CVPR’19! [Feb’19]
- Paper on Spectral Dropout accpeted in Neural Networks [Sep’18]
- Our paper on ZSL accepted in IEEE TIP [Jul’18]
- One paper accepted each in BMVC and WACV 2018. [Jul’18]
- Our work on “Zero-shot detection” is now available: Project Page [Apr’18]
- Our book titled “A Guide to CNNs for Computer Vision” has been published [Feb’18]