Publication(s)
Preprints
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Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
Adrian Spurr, Pavlo Molchanov, Umar Iqbal, Jan Kautz, Otmar Hilliges ArXiv 2021 [PDF] |
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KAMA: 3D Keypoint Aware Body Mesh Articulation Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov ArXiv 2021 [PDF][Qualitative Results] |
2021
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Learning to Track Instances without Video Annotations
Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi , Jan Kautz IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF][Project Page] |
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DexYCB: A Benchmark for Capturing Hand Grasping of Objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF][Dataset][Video][Code] |
2020
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Weakly-Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz European Conference on Computer Vision (ECCV), 2020. [PDF] |
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Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Gregory Rogez, Vincent Lepetit, Tae-Kyun Kim European Conference on Computer Vision (ECCV), 2020. [PDF] |
2019
2018
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Hand Pose Estimation via Latent 2.5D Heatmap Regression
U. Iqbal, P. Molchanov, T. Breuel, J. Gall and J. Kautz European Conference on Computer Vision (ECCV'18), Munich, Germany, 2018 Invited to the 4th Workshop on Observing and Understanding Hands in Action (HANDS), 2018 Best Poster Award @ HANDS'18 [PDF][Video][Poster][Plots] |
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A Dual-Source Approach for 3D Human Pose Estimation from Single Images
U. Iqbal, A. Doering, H. Yasin, B. Krüger, A. Weber, and J. Gall Computer Vision and Image Understanding (CVIU), 2018 [PDF][Project Page][Code] |
2017
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Pose for Action - Action for Pose
U. Iqbal, M. Garbade, and J. Gall IEEE Conference on Automatic Face and Gesture Recognition (FG'17), Washington-DC, USA, 2017 [PDF][Bibtex][Project Page][Code] |
2016
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Multi-Person Pose Estimation with Local Joint-to-Person Associations
U. Iqbal, and J. Gall Crowd Understanding Workshop (CUW). In conjunction with ECCV'16, Amsterdam, 2016 [PDF][Bibtex][Project Page][Code] |
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A Dual-Source Approach for 3D Pose Estimation from a Single Image
H. Yasin*, U. Iqbal*, B. Krüger, A. Weber, and J. Gall (*equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, USA, June 2016. [PDF] [Bibtex][Project Page][Code] |
Older publications
Previous Projects
Important person detection from multiple videos (Master's Thesis)
The goal of this work is to develop a unified framework for unsupervised person re-identification with application to important person detection from multiple videos. It focuses on topics such as
Link: PDF
- Face detection
- Particle filters based object tracking
- Face/clothing recognition
- Detection of high level attributes (i.e. Race, Gender, Eyewears, Headwears, Hair colors, Age, etc.). An example can be seen here.
- Sensor based temporal segmentation of videos
- Supervised classification.
- Hierarchical Agglomerative Clustering (HAC) with constraints (i.e. cannot-link constraints)
Link: PDF
Vehicle make and model recognition (Bachelor's Thesis)
I worked on this topic as my undergraduate thesis and also followed the same work during my tenure at COMVis. The results of the work were published in ICIET 2010 and the paper can be found here.
Vehicle's database used in this work can be downloaded from this link.
Demo:
Vehicle's database used in this work can be downloaded from this link.
Demo:
Preceding Vehicle Detection and Distance Estimation for Driver Assistance System
Technical Report on the project can be found here. (Last updated: 31-12-2010)
Demo:
Demo:
