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Computer Science

D-Index
40
Citations
7695
World Ranking
9227
National Ranking
169

Overview

Siyu Tang is a researcher affiliated with ETH Zurich in Switzerland, active in fields primarily related to computer science and engineering. Their work spans various subfields including computer vision and pattern recognition, control and systems engineering, computational mechanics, computer graphics and computer-aided design, and artificial intelligence.

Their research focuses on topics such as human pose and action recognition, 3D shape modeling and analysis, human motion and animation, advanced vision and imaging, computer graphics and visualization techniques, hand gesture recognition systems, and advanced neural network applications.

Siyu Tang has contributed to numerous publications, with a significant presence in well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Repository for Publications and Research Data (ETH Zurich)
  • 2021 International Conference on 3D Vision (3DV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Some recent representative papers by Siyu Tang are:

  • "The Power of Points for Modeling Humans in Clothing," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Learning Motion Priors for 4D Human Body Capture in 3D Scenes," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Human-Aware Object Placement for Visual Environment Reconstruction," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Accurate 3D Body Shape Regression using Metric and Semantic Attributes," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Skeleton-Driven Neural Occupancy Representation for Articulated Hands," 2021, 2021 International Conference on 3D Vision (3DV)

Throughout their career, Siyu Tang has frequently collaborated with multiple researchers including Yan Zhang, Michael J. Black, Shaofei Wang, Marko Mihajlović, and Andreas Geiger, with collaborations ranging from a dozen to nearly twenty joint works per coauthor.

The researcher's contributions are situated predominantly within the domains of human shape and motion modeling, computer vision systems, and neural representations related to 3D human and hand modeling. This body of work is supported by extensive publications demonstrating activity both in conference proceedings and open-access repositories.

Best Publications

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

    Leonid Pishchulin;Eldar Insafutdinov;Siyu Tang;Bjoern Andres

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

    Siyu Tang;Mykhaylo Andriluka;Bjoern Andres;Bernt Schiele

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Learning to Dress 3D People in Generative Clothing

    Qianli Ma;Jinlong Yang;Anurag Ranjan;Sergi Pujades

  • ArtTrack: Articulated Multi-Person Tracking in the Wild

    Eldar Insafutdinov;Mykhaylo Andriluka;Leonid Pishchulin;Siyu Tang

  • ETH-XGaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation

    Xucong Zhang;Seonwook Park;Thabo Beeler;Derek Bradley

  • Detection and Tracking of Occluded People

    Siyu Tang;Mykhaylo Andriluka;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

  • Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

    Margret Keuper;Siyu Tang;Bjoern Andres;Thomas Brox

  • Multi-person Tracking by Multicut and Deep Matching

    Siyu Tang;Bjoern Andres;Mykhaylo Andriluka;Bernt Schiele

  • Grasping Field: Learning Implicit Representations for Human Grasps

    Korrawe Karunratanakul;Jinlong Yang;Yan Zhang;Michael J. Black

  • Mask3D: Mask Transformer for 3D Semantic Instance Segmentation

    Unknown

  • Generating 3D People in Scenes Without People

    Yan Zhang;Mohamed Hassan;Heiko Neumann;Michael J. Black

  • Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications

    Evgeny Levinkov;Jonas Uhrig;Siyu Tang;Mohamed Omran

  • We are More than Our Joints: Predicting how 3D Bodies Move

    Yan Zhang;Michael J. Black;Siyu Tang

  • LEAP: Learning Articulated Occupancy of People

    Marko Mihajlovic;Yan Zhang;Michael J. Black;Siyu Tang

  • Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video

    Miao Liu;Siyu Tang;Yin Li;James M. Rehg

  • Guided Motion Diffusion for Controllable Human Motion Synthesis

    Unknown

  • Learning People Detectors for Tracking in Crowded Scenes

    Siyu Tang;Mykhaylo Andriluka;Anton Milan;Konrad Schindler

  • On Self-Contact and Human Pose

    Lea Muller;Ahmed A. A. Osman;Siyu Tang;Chun-Hao P. Huang

  • Learning Motion Priors for 4D Human Body Capture in 3D Scenes

    Siwei Zhang;Yan Zhang;Federica Bogo;Marc Pollefeys

Frequent Co-Authors

Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Mykhaylo Andriluka
Mykhaylo Andriluka Google (United States)
Heiko Neumann
Heiko Neumann University of Ulm
Otmar Hilliges
Otmar Hilliges ETH Zurich
Thomas Brox
Thomas Brox University of Freiburg
Andreas Geiger
Andreas Geiger University of Tübingen
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Gerard Pons-Moll
Gerard Pons-Moll University of Tübingen
Yin Li
Yin Li Chinese Academy of Sciences

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