UMAR IQBAL
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Publication(s)

2022

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​​NEW!
DRaCoN – Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars
Amit Raj, Umar Iqbal, Koki Nagano, Sameh Khamis, Pavlo Molchanov, James Hays, Jan Kautz
ArXiV Preprint
[PDF][Project Page]
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​​NEW!
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2022
[PDF][Project Page][Video]
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​NEW!
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2022
[PDF][Project Page][Video]

2021

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​​Physics-based Human Motion Estimation and Synthesis from Videos
Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, Florian Shkurti
IEEE Conference on Computer Vision  (ICCV),  2021
[PDF][Project Page] [Two Minutes Paper]
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​​KAMA: 3D Keypoint Aware Body Mesh Articulation
Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov 
International Conference on 3D Vision (3DV), 2021
[PDF][Qualitative Results]
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Self-Supervised Object Detection via Generative Image Synthesis
​Siva K. Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
IEEE Conference on Computer Vision  (ICCV),  2021
[PDF][Code] 
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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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​Weakly-Supervised Physically Unconstrained Gaze Estimation
Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2021
[PDF]​[Code]
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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]​

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​Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild

Umar Iqbal, Pavlo Molchanov,  Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020. 
[PDF]​[Video]
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​Self-Supervised Viewpoint Learning from Image Collections

​Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020. 
[PDF]​[Video][Code]
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2019

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Few Shot Adaptive Gaze Estimation

Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz
International Conference on Computer Vision (ICCV), Seoul, South Korea, 2019
[PDF]​[Code]

2018

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Articulated Human Pose Estimation in Unconstrained Images and Videos
Dissertation, University of Bonn, Germany, 2018.
Summa cum laude, DAGM MVTec Dissertation Award 2019
[PDF]​​[Summary][Slides][Talk]
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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]

​JointFlow: Temporal Flow Fields for Multi Person Pose Tracking

A. Doering, U. Iqbal, J. Gall
British Machine Vision Conference (BMVC'18), Newcastle, UK, 2018
[PDF]​​[Poster]

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​PoseTrack: A Benchmark for Human Pose Estimation and Tracking

M. Andriluka, U. Iqbal, A. Milan, E. Insafutdinov, L. Pishchulin,  J. Gall and B. Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18),  Salt Lake City, USA, 2018
[PDF]​​[Project Page][Video][Data][Code]
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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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PoseTrack: Joint Multi-Person Pose Estimation and Tracking
U. Iqbal, A. Milan, and J. Gall
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17),  Hawaii, USA, July 2017
[PDF][Bibtex][Project Page][Video][Data][Code]
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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

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​Who is the Hero? - Semi-Supervised Person Re-Identification in Videos
 
​U. Iqbal, I. D. D. Curcio, and M. Gabbouj,
Int. Conference on Computer Vision Theory and Applications (VISAPP'14), Lisbon, Portugal, 2014.  
[PDF][Bibtex]
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Image Based Vehicle Type Identification
U. Iqbal, S.W. Zamir, M.H. Shahid, K. Parwaiz, M. Yasin and M.S. Sarfraz
IEEE International Conference on Information and Emerging Technologies (ICIET'10, Oral),  
​Pakistan, 2010. 
​​[PDF][Bibtex][Data]

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
  • 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)
Tools used in this work: C++, OpenCV, Python, Intel's Threading Building Blocks (TBB), GNU Scientific Library (GSL)
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: 

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:
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