Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Leonid Pishchulin

Leonid Pishchulin

Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis

Jun 14, 2022
Rania Briq, Chuhang Zou, Leonid Pishchulin, Chris Broaddus, Juergen Gall

Figure 1 for Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis

Figure 2 for Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis

Figure 3 for Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis

Figure 4 for Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis

* accepted at Transformers for Vision workshop at CVPR 2022

Access Paper or Ask Questions

AOWS: Adaptive and optimal network width search with latency constraints

May 21, 2020
Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gerard Medioni

Figure 1 for AOWS: Adaptive and optimal network width search with latency constraints

Figure 2 for AOWS: Adaptive and optimal network width search with latency constraints

Figure 3 for AOWS: Adaptive and optimal network width search with latency constraints

Figure 4 for AOWS: Adaptive and optimal network width search with latency constraints

* Accepted to CVPR 2020 (oral)

Access Paper or Ask Questions

Learning to Refine Human Pose Estimation

Apr 21, 2018
Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele

Figure 1 for Learning to Refine Human Pose Estimation

Figure 2 for Learning to Refine Human Pose Estimation

Figure 3 for Learning to Refine Human Pose Estimation

Figure 4 for Learning to Refine Human Pose Estimation

* To appear in CVPRW (2018). Workshop: Visual Understanding of Humans in Crowd Scene and the 2nd Look Into Person Challenge (VUHCS-LIP)

Access Paper or Ask Questions

ArtTrack: Articulated Multi-person Tracking in the Wild

May 09, 2017
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele

Figure 1 for ArtTrack: Articulated Multi-person Tracking in the Wild

Figure 2 for ArtTrack: Articulated Multi-person Tracking in the Wild

Figure 3 for ArtTrack: Articulated Multi-person Tracking in the Wild

Figure 4 for ArtTrack: Articulated Multi-person Tracking in the Wild

* Accepted to CVPR 2017

Access Paper or Ask Questions

Building Statistical Shape Spaces for 3D Human Modeling

Mar 03, 2017
Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, Bernt Schiele

Figure 1 for Building Statistical Shape Spaces for 3D Human Modeling

Figure 2 for Building Statistical Shape Spaces for 3D Human Modeling

Figure 3 for Building Statistical Shape Spaces for 3D Human Modeling

Figure 4 for Building Statistical Shape Spaces for 3D Human Modeling

* Published in Pattern Recognition 2017

Access Paper or Ask Questions

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Apr 26, 2016
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele

Figure 1 for DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Figure 2 for DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Figure 3 for DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Figure 4 for DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

* Accepted at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)

Access Paper or Ask Questions

Estimation of Human Body Shape and Posture Under Clothing

Jun 26, 2014
Stefanie Wuhrer, Leonid Pishchulin, Alan Brunton, Chang Shu, Jochen Lang

Figure 1 for Estimation of Human Body Shape and Posture Under Clothing

Figure 2 for Estimation of Human Body Shape and Posture Under Clothing

Figure 3 for Estimation of Human Body Shape and Posture Under Clothing

Figure 4 for Estimation of Human Body Shape and Posture Under Clothing

* Computer Vision and Image Understanding, 127, pp. 31-42, 2014
* 23 pages, 11 figures

Access Paper or Ask Questions