Yan Zhang

Orcid: 0000-0001-6273-5334

Affiliations:
  • ETH Zürich, Switzerland
  • Ulm University, Institute of Neural Information Processing, Germany


According to our database1, Yan Zhang authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

EgoGen: An Egocentric Synthetic Data Generator.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Synthesizing Diverse Human Motions in 3D Indoor Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Compositional Human-Scene Interaction Synthesis with Semantic Control.
Proceedings of the Computer Vision - ECCV 2022, 2022

EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices.
Proceedings of the Computer Vision - ECCV 2022, 2022

SAGA: Stochastic Whole-Body Grasping with Contact.
Proceedings of the Computer Vision - ECCV 2022, 2022

The Wanderings of Odysseus in 3D Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database.
IEEE Trans. Affect. Comput., 2021

EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices.
CoRR, 2021

Learning Motion Priors for 4D Human Body Capture in 3D Scenes.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

We Are More Than Our Joints: Predicting How 3D Bodies Move.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LEAP: Learning Articulated Occupancy of People.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

4D Human Body Capture from Egocentric Video via 3D Scene Grounding.
Proceedings of the International Conference on 3D Vision, 2021

2020
Human action parsing in untrimmed videos and its applications for elderly people healthcare.
PhD thesis, 2020

Generating Person-Scene Interactions in 3D Scenes.
CoRR, 2020

Perpetual Motion: Generating Unbounded Human Motion.
CoRR, 2020

Generating 3D People in Scenes Without People.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PLACE: Proximity Learning of Articulation and Contact in 3D Environments.
Proceedings of the 8th International Conference on 3D Vision, 2020

Grasping Field: Learning Implicit Representations for Human Grasps.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Low-rank Random Tensor for Bilinear Pooling.
CoRR, 2019

Local Temporal Bilinear Pooling for Fine-Grained Action Parsing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Temporal Human Action Segmentation via Dynamic Clustering.
CoRR, 2018

An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Human Motion Parsing by Hierarchical Dynamic Clustering.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Continuous activity understanding based on accumulative pose-context visual patterns.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy.
Proceedings of the Enhanced Quality of Life and Smart Living, 2017

2016
The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016


  Loading...