Chengde Wan

Orcid: 0000-0003-1762-7849

According to our database1, Chengde Wan authored at least 14 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Data-Free Class-Incremental Hand Gesture Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
PressureVision: Estimating Hand Pressure from a Single RGB Image.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020
MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality.
ACM Trans. Graph., 2020

Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Towards Accurate and Data-efficient 3D Hand Pose Estimation Algorithms.
PhD thesis, 2019

Self-Supervised 3D Hand Pose Estimation Through Training by Fitting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Dense 3D Regression for Hand Pose Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation.
CoRR, 2017

Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Learning on Lie Groups for Skeleton-Based Action Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Direction matters: hand pose estimation from local surface normals.
CoRR, 2016

Hand Pose Estimation from Local Surface Normals.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Towards Predicting the Likeability of Fashion Images.
CoRR, 2015

2013
Tree-based Shape Descriptor for scalable logo detection.
Proceedings of the 2013 Visual Communications and Image Processing, 2013


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