World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
16727
World Ranking
9483
National Ranking
4015

Overview

Mykhaylo Andriluka is affiliated with Google in the United States. Their research work primarily spans the fields of Computer Science and Engineering, with a focus on Computer Vision and Pattern Recognition as well as Control and Systems Engineering.

The scientist's work covers several main topics, including:

  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Robot Manipulation and Learning
  • Advanced Image and Video Retrieval Techniques
  • Visual Attention and Saliency Detection
  • Medical Image Segmentation Techniques

Mykhaylo Andriluka has published extensively with a recent emphasis on papers presented at venues such as arXiv (Cornell University) and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Notable recent publications include:

  • Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity, 2020, arXiv (Cornell University)
  • Differentiable Dynamics for Articulated 3d Human Motion Reconstruction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Differentiable Dynamics for Articulated 3d Human Motion Reconstruction, 2022, arXiv (Cornell University)
  • Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video, 2022, arXiv (Cornell University)

The frequent co-authors collaborating with Mykhaylo Andriluka include Cristian Sminchisescu, Erik Gärtner, C. Daniel Freeman, Erwin Coumans, and Baruch Tabanpour. This collaboration network reflects interdisciplinary work connecting aspects of computer vision, physics-based modeling, and robotics.

Their publication history is concentrated primarily in venues dedicated to modern developments in computer vision and artificial intelligence research, prominently featuring multiple papers in arXiv and the prestigious 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Best Publications

  • 2D Human Pose Estimation: New Benchmark and State of the Art Analysis

    Mykhaylo Andriluka;Leonid Pishchulin;Peter Gehler;Bernt Schiele

  • DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model

    Eldar Insafutdinov;Leonid Pishchulin;Bjoern Andres;Mykhaylo Andriluka;Mykhaylo Andriluka

  • People-tracking-by-detection and people-detection-by-tracking

    M. Andriluka;S. Roth;B. Schiele

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

    Leonid Pishchulin;Eldar Insafutdinov;Siyu Tang;Bjoern Andres

  • Pictorial structures revisited: People detection and articulated pose estimation

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • An Empirical Evaluation of Deep Learning on Highway Driving

    Brody Huval;Tao Wang;Sameep Tandon;Jeff Kiske

  • Monocular 3D pose estimation and tracking by detection

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • A database for fine grained activity detection of cooking activities

    Marcus Rohrbach;Sikandar Amin;Mykhaylo Andriluka;Bernt Schiele

  • Multiple People Tracking by Lifted Multicut and Person Re-identification

    Siyu Tang;Mykhaylo Andriluka;Bjoern Andres;Bernt Schiele

  • End-to-End People Detection in Crowded Scenes

    Russell Stewart;Mykhaylo Andriluka;Andrew Y. Ng

  • Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

    Serena Yeung;Olga Russakovsky;Olga Russakovsky;Ning Jin;Mykhaylo Andriluka;Mykhaylo Andriluka

  • Poselet Conditioned Pictorial Structures

    Leonid Pishchulin;Mykhaylo Andriluka;Peter Gehler;Bernt Schiele

  • PoseTrack: A Benchmark for Human Pose Estimation and Tracking

    Mykhaylo Andriluka;Umar Iqbal;Eldar Insafutdinov;Leonid Pishchulin

  • ArtTrack: Articulated Multi-Person Tracking in the Wild

    Eldar Insafutdinov;Mykhaylo Andriluka;Leonid Pishchulin;Siyu Tang

  • Articulated people detection and pose estimation: Reshaping the future

    Leonid Pishchulin;Arjun Jain;Mykhaylo Andriluka;Thorsten Thormahlen

  • 3D Pictorial Structures for Multiple Human Pose Estimation

    Vasileios Belagiannis;Sikandar Amin;Mykhaylo Andriluka;Bernt Schiele

  • Detection and Tracking of Occluded People

    Siyu Tang;Mykhaylo Andriluka;Bernt Schiele

  • Strong Appearance and Expressive Spatial Models for Human Pose Estimation

    Leonid Pishchulin;Mykhaylo Andriluka;Peter Gehler;Bernt Schiele

  • Detection and Tracking of Occluded People

    Siyu Tang;Mykhaylo Andriluka;Bernt Schiele

  • Subgraph decomposition for multi-target tracking

    Siyu Tang;Bjoern Andres;Mykhaylo Andriluka;Bernt Schiele

  • End-to-end people detection in crowded scenes

    Russell Stewart;Mykhaylo Andriluka

Frequent Co-Authors

Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Siyu Tang
Siyu Tang ETH Zurich
Stefan Roth
Stefan Roth Technical University of Darmstadt
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Leonid Sigal
Leonid Sigal University of British Columbia
Vittorio Ferrari
Vittorio Ferrari Google (United States)
Nassir Navab
Nassir Navab Technical University of Munich
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Li Fei-Fei
Li Fei-Fei Stanford University

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