no code implementations • 14 Jun 2022 • Rania Briq, Chuhang Zou, Leonid Pishchulin, Chris Broaddus, Juergen Gall
We consider the problem of synthesizing multi-action human motion sequences of arbitrary lengths.
1 code implementation • CVPR 2020 • Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gerard Medioni
We introduce a novel efficient one-shot NAS approach to optimally search for channel numbers, given latency constraints on a specific hardware.
no code implementations • 21 Apr 2018 • Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele
Multi-person pose estimation in images and videos is an important yet challenging task with many applications.
2 code implementations • CVPR 2018 • Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele
In this work, we aim to further advance the state of the art by establishing "PoseTrack", a new large-scale benchmark for video-based human pose estimation and articulated tracking, and bringing together the community of researchers working on visual human analysis.
Ranked #3 on Multi-Person Pose Estimation on PoseTrack2017
14 code implementations • CVPR 2017 • Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele
In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos.
Ranked #7 on Keypoint Detection on MPII Multi-Person
16 code implementations • 10 May 2016 • Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, Bernt Schiele
The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people.
Ranked #1 on Multi-Person Pose Estimation on WAF
4 code implementations • CVPR 2016 • Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele
This paper considers the task of articulated human pose estimation of multiple people in real world images.
Ranked #2 on Multi-Person Pose Estimation on WAF
no code implementations • CVPR 2015 • Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Micha Andriluka, Chris Bregler, Bernt Schiele, Christian Theobalt
Our approach unites a discriminative image-based joint detection method with a model-based generative motion tracking algorithm through a combined pose optimization energy.
no code implementations • 19 Mar 2015 • Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, Bernt Schiele
Statistical models of 3D human shape and pose learned from scan databases have developed into valuable tools to solve a variety of vision and graphics problems.
no code implementations • 7 Jun 2014 • Leonid Pishchulin, Mykhaylo Andriluka, Bernt Schiele
Holistic methods based on dense trajectories are currently the de facto standard for recognition of human activities in video.
2 code implementations • CVPR 2014 • Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, Bernt Schiele
Human pose estimation has made significant progress during the last years.
no code implementations • 17 Dec 2013 • Stefanie Wuhrer, Leonid Pishchulin, Alan Brunton, Chang Shu, Jochen Lang
Our method can estimate the body shape and posture of both static scans and motion sequences of dressed human body scans.
no code implementations • CVPR 2013 • Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele
In this paper we consider the challenging problem of articulated human pose estimation in still images.