Publications

Research

I’m broadly interested in computer vision and machine learning. Much of my research is about 3D vision, graph neural networks, hand-object interaction and robotics.

Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti
ICCV, 2023
[pdf] [webpage] [code (coming soon)]
We present a spectral graph-based Transformer framework that reconstructs two high fidelity hands from multi-view RGB images. The proposed framework combines ideas from spectral graph theory and Transformers.
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation
‪Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, Hyung Jin Chang
ICCV, 2023
[pdf] [webpage] (coming soon)
We present a diffusion architecture that formulates video-based human pose estimation as a conditional heatmap generation problem.
Mutual Information-based Temporal Difference Learning for Human Pose Estimation in Video
‪Runyang Feng, Yixing Gao, Xueqing Ma, Tze Ho Elden Tse, Hyung Jin Chang
CVPR, 2023
[pdf] [webpage]
We present a multi-frame human pose estimation framework, which employs temporal differences across frames to model dynamic contexts.
S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Tze Ho Elden Tse$^*$, Zhongqun Zhang$^*$, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
ECCV, 2022
[pdf] [webpage]
We propose a semi-supervised framework that learns contact from monocular videos.
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
CVPR, 2022
[pdf] [webpage]
We propose a collaborative learning framework which jointly reconstructs hand and object from a single RGB image.
TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders
Linfang Zheng, Ales Leonardis, ‪Tze Ho Elden Tse, Nora Horanyi, Wei Zhang, Hua Chen, Hyung Jin Chang
ICRA, 2022
[pdf]
This paper focuses on instance-level 6D object pose tracking. In particular, the targeted scenarios are symmetric and textureless object under occlusion.
No Need to Scream: Robust Sound-based Speaker Localisation in Challenging Scenarios
Tze Ho Elden Tse, D. De Martini and L. Marchegiani
ICSR, 2019
[pdf]
Master project at Oxford Robotics Institute.