3D HUMANS 2019: 2nd International Workshop on HUman pose, Motion, Activities aNd Shape in 3D

3D HUMANS 2019

in conjunction with CVPR 2019, Long Beach, California, Sunday June 16th 2019


This workshop aims at gathering researchers who work on 3D understanding of humans from visual data, including topics such as 3D human pose estimation and tracking, 3D human shape estimation from RGB images or human activity recognition from 3D skeletal data. Current computer vision algorithms and deep learning-based methods can detect people in images and estimate their 2D pose with a remarkable accuracy. However, understanding humans and estimating their pose and shape in 3D is still an open problem. The ambiguities in lifting 2D pose to 3D, the lack of annotated data to train 3D pose regressors in the wild and the absence of a reliable evaluation dataset in real world situations make the problem very challenging. The workshop will include several invited talks and a poster session with invited posters only (no paper submission to this Workshop is required).

Previous editions: 2018

Location: 104B




  • 08:50 - 09:00 Introduction / opening remarks
  • 09:00- 09:30 Stefanos Zafeiriou, “Reconstructing Face, Bodies and Hands”
  • 09:30-10:00 Hao Li, "AI and Human Digitization"
  • 10:00-10:30 coffee break / poster session
  • 10:30-12:00 Poster session
  • 12:00-13:30 Lunch break / poster session
  • 13:45-14:15 Gerard Pons-Moll, “3D Humans in the Wild, but with Clothes”
  • 14:15-14:45 Cristian Sminchisescu, “Multiple People in the Scene: Learning and Optimization for 3D Reconstruction”
  • 14:45-15:15 Christian Theobalt, “Capturing 4D Models of Humans in the Real World”
  • 15:15-16:00 coffee break
  • 16:00-16:30 Angjoo Kanazawa, “Perceiving, Predicting, and Imitating 3D Humans from videos”
  • 16:30-17:00 Libin Liu, “Learning to Control Physics-based Characters Using Motion Data”
  • 17:00-17:30 Michael J. Black, “Expressive human body models for communication and interaction”
  • 17:30-17:45 Awards and closing


  • Poster sessions
  • #234: Textured Neural Avatars: Aliaksandra Shysheya; Egor Zakharov; Kara-Ali Aliev; Renat Bashirov; Egor Burkov; Karim Iskakov; Aleksei Ivakhnenko; Yury Malkov; Igor Pasechnik; Dmitry Ulyanov; Alexander Vakhitov; Victor Lempitsky
  • #235: Progressive Pose Attention Transfer for Person Image Generation: Zhen Zhu; Tengteng Huang; Baoguang Shi; Miao Yu; Bofei Wang; Xiang Bai
  • #236: FML: Face Model Learning from Videos: Ayush Tewari ; Florian Bernard; Pablo Garrido; Gaurav Bharaj; Mohamed Elgharib; Hans-Peter Seidel; Patrick Pérez; Michael Zollhoefer; Christian Theobalt
  • #237: Self-Supervised 3D Hand Pose Estimation Through Training by Fitting: Chengde Wan; Thomas Probst; Luc Van Gool; Angela Yao
  • #238: Combining 3D Morphable Models: A Largescale Face-and-Head Model: Stylianos Ploumpis; Haoyang Wang; Nick E. Pears; William Smith; Stefanos Zafeiriou
  • #239: Monocular Total Capture: Posing Face, Body, and Hands in the Wild: Donglai Xiang; Hanbyul Joo; Yaser Sheikh
  • #240: Expressive Body Capture: 3D Hands, Face, and Body from a Single Image: Georgios Pavlakos; Vasileios Choutas; Nima Ghorbani; Timo Bolkart; Ahmed A A Osman; Dimitrios Tzionas; Michael J. Black
  • #241: Self-Supervised Learning of 3D Human Pose using Multi-view Geometry: Muhammed Kocabas; Salih Karagoz; Emre Akbas
  • #242: Learning to Reconstruct People in Clothing from a Single RGB Camera: Thiemo Alldieck; Marcus Magnor; Bharat Lal Bhatnagar; Christian Theobalt; Gerard Pons-Moll
  • #243: Exploiting temporal context for 3D human pose estimation in the wild: Anurag Arnab; Carl Doersch; Andrew Zisserman
  • #244: Unsupervised 3D Pose Estimation with Geometric Self-Supervision: Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal; Dylan Drover; Rohith MV; Stefan Stojanov; James Rehg
  • #245: Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views: Junting Dong; Wen Jiang; Qixing Huang; Hujun Bao; Xiaowei Zhou
  • #246: Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering: Seungryul Baek; Kwang In Kim; Tae-Kyun Kim
  • #247: Neural Scene Decomposition for Human Motion Capture: Helge Rhodin; Victor Constantin; Isinsu Katircioglu; Mathieu Salzmann; Pascal Fua
  • #248: GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction: Baris Gecer; Stylianos Ploumpis; Irene Kotsia; Stefanos Zafeiriou
  • #249: A neural network based on SPD manifold learning for skeleton-based hand gesture recognition: Xuan Son Nguyen; luc brun; Olivier Lézoray; Sébastien Bougleux
  • #250: In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations: Ikhsanul Habibie; Weipeng Xu; Dushyant Mehta; Gerard Pons-Moll; Christian Theobalt
  • #251: SimulCap : Single-View Human Performance Capture with Cloth Simulation: Tao Yu; Zerong Zheng; Yuan Zhong; Jianhui Zhao; Qionghai Dai; Gerard Pons-Moll; Yebin Liu
  • #252: Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation: Hao Zhu; Xinxin Zuo; Sen Wang; Xun Cao; Ruigang Yang
  • #253: Convolutional Mesh Regression for Single-Image Human Shape Reconstruction: Nikos Kolotouros; Georgios Pavlakos; Kostas Daniilidis
  • #254: RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation: Bastian Wandt; Bodo Rosenhahn
  • #255: PifPaf: Association Fields for Human Pose Estimation: Sven Kreiss; Lorenzo Bertoni; Alexandre Alahi
  • #256: Capture, Learning, and Synthesis of 3D Speaking Styles: Daniel Cudeiro; Timo Bolkart; Cassidy Laidlaw; Anurag Ranjan; Michael J. Black
  • #257: Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision: Soubhik Sanyal; Timo Bolkart; Haiwen Feng; Michael J. Black
  • #258: Learning-Based Animation of Clothing for Virtual Try-On: Igor Santesteban; Miguel A. Otaduy; Dan Casas
  • #259: Learning 3D Human Dynamics from Video: Angjoo Kanazawa; Jason Zhang; Panna Felsen; Jitendra Malik
  • #260: Learning joint reconstruction of hands and manipulated objects : Yana Hasson; Gül Varol; Dimitris Tzionas; Igor Kalevatykh; Michael J. Black; Ivan Laptev; Cordelia Schmid
  • #261: Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network: Chen Li; Gim Hee Lee
  • #262: H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions: Bugra Tekin; Federica Bogo; Marc Pollefeys