Hi, Welcome to my homepage!!!
I am a Senior Research Scientist and Research Lead at NVIDIA Research. I am part of the Machine Learning and Perception group headed by Jan Kautz where I lead the efforts related to human capture and modeling. Prior to that, I completed my PhD in Computer Science (2014-2018) from the University of Bonn, Germany, under the supervision of Prof. Juergen Gall. I completed my M.Sc. degree in Information Technology (2011-2013) with majors in Image and Video Signal Processing from Tampere University of Technology (TUT), Finland. Alongside, I also worked at Nokia Research Center as an External Computer Vision Researcher. I completed my B.Sc. degree in Computer Engineering from COMSATS Institute of Information Technology, Pakistan, and later also worked there as a Research Associate at the Computer Vision Research Group during 2010-2011.
Research Interests: Computer Vision, Computer Graphics, Deep Learning, Digital Humans, 3D Scene Understanding News!20/07/2023: Three papers accepted to ICCV'23
24/02/2022: Two papers accepted to CVPR'22 04/10/2021: One paper accepted to 3DV. 23/07/2021: Two papers accepted to ICCV'21. 10/07/2021: I am serving as an Area Chair for BMVC'21. 24/02/2020: Two papers accepted to CVPR'20. One on weakly-supervised 3D human pose estimation and the other on self-supervised viewpoint learning. More info to follow. 22/07/2019: A paper on few-show adaptive gaze estimation has been accepted to ICCV'19. Code coming soon! 05/07/2019: My dissertation has won the DAGM MVTec Dissertation Award 2019. DAGM (German Association for Pattern Recognition) represents the German community for pattern recognition including computer vision and machine learning. 14/01/2019: I have joined Jan Kautz's lab at Nvidia Research as a post-doctoral Research Scientist. 30/11/2018: Successfully defended my PhD with the highest possible distinction (summa cum laude). 09/09/2018: Received the Best Poster Award for our work on hand pose estimation at the 4th International Workshop on Observing and Understanding Hands in Actions (HANDS), 2018 03/07/2018: Our work on 2D and 3D hand pose estimation is accepted to ECCV 2018. 03/07/2018: JointFlow paper on multi-person pose tracking is accepted to BMVC-2018. 12/05/2018: JointFlow paper on multi-person pose tracking is available online. 25/04/2018: A paper on 2D and 3D hand pose estimation from RGB images is available on ArXiv. 30/03/2018: We are organizing 2nd PoseTrack Challenge and Workshop in conjunction with ECCV-2018 in Munich. Stay tuned at http://www.posetrack.net for more info!! 30/09/2017: I will spend next six months as Research Intern in Jan Kautz's lab at Nvidia Research. 26/09/2017: Evaluation server for PoseTrack challenge is now open. All the best to all participants. 10/07/2017: Pre-release of PoseTrack dataset is available now. Grab your copy here. 15/06/2017: Webpage for PoseTrack Challenge is down as we are moving our website to a new server. Apologies for the downtime. Will be accessible again soon. 08/05/2017: The extended version of our CVPR-2016 paper on 3D human pose estimation is available. [arXiv]. 05/04/2017: Webpage for PoseTrack Challenge is up! 31/03/2017: We are organizing the PoseTrack Challenge on Human Pose Estimation and Tracking in the Wild at ICCV-2017. Stay tuned at http://www.posetrack.net for more info!! 26/02/2017: Our paper on Multi-Person Pose Estimation and Tracking accepted to CVPR-2017, arXiv. Source code, models, and dataset coming Soon... 23/01/2017: Our paper on action conditioned human pose estimation accepted to FG-2017, arXiv. Project Page (Coming Soon). 29/11/2016: A paper on multi-person pose tracking is available on arXiv. Project Page. 24/08/2016: A paper on multi-person human pose estimation accepted to ECCV, Workshop on Crowd Understanding, 2016. Project Page. 14/03/2016: A paper on action conditioned human pose estimation is available on arXiv. 02/03/2016: A paper on 3D human pose estimation accepted to CVPR 2016! Project page is up. 05/02/2014: Starting doctoral studies at the Computer Vision Research Group (Prof. Dr. Juergen Gall), University of Bonn, Germany |
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