216 citations · 458 across the 8 of their papers we have counts for
9 papers
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis
Rania Briq, Chuhang Zou, Leonid Pishchulin +2
We consider the problem of synthesizing multi-action human motion sequences of arbitrary lengths. Existing approaches have mastered motion sequence generation in single action scen…
Learning to Refine Human Pose Estimation
Mihai Fieraru, Anna Khoreva, Leonid Pishchulin +1
Multi-person pose estimation in images and videos is an important yet challenging task with many applications. Despite the large improvements in human pose estimation enabled by th…
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov +4
Human poses and motions are important cues for analysis of videos with people and there is strong evidence that representations based on body pose are highly effective for a variet…
ArtTrack: Articulated Multi-person Tracking in the Wild
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin +4
In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos. Our starting point is a model that resembles existing architectures for si…
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres +2
The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) i…
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang +4
This paper considers the task of articulated human pose estimation of multiple people in real world images. We propose an approach that jointly solves the tasks of detection and po…
Building Statistical Shape Spaces for 3D Human Modeling
Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten +2
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. Unfortunately, most…
Fine-grained Activity Recognition with Holistic and Pose based Features
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. Whether holistic representations will sustain or will…
Estimation of Human Body Shape and Posture Under Clothing
Stefanie Wuhrer, Leonid Pishchulin, Alan Brunton +2
Estimating the body shape and posture of a dressed human subject in motion represented as a sequence of (possibly incomplete) 3D meshes is important for virtual change rooms and se…