activity
20222026
most citedCollaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

18 citations · 33 across the 13 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation

Runyang Feng, Hyung Jin Chang, Tze Ho Elden Tse +3

Modeling high-resolution spatiotemporal representations, including both global dynamic contexts (e.g., holistic human motion tendencies) and local motion details (e.g., high-freque…

cs.CV2025

Leveraging RGB Images for Pre-Training of Event-Based Hand Pose Estimation

Ruicong Liu, Takehiko Ohkawa, Tze Ho Elden Tse +3

This paper presents RPEP, the first pre-training method for event-based 3D hand pose estimation using labeled RGB images and unpaired, unlabeled event data. Event data offer signif…

cs.CV2025

Improving Human Motion Plausibility with Body Momentum

Ha Linh Nguyen, Tze Ho Elden Tse, Angela Yao

Many studies decompose human motion into local motion in a frame attached to the root joint and global motion of the root joint in the world frame, treating them separately. Howeve…

cs.CV2025

TIGeR: Text-Instructed Generation and Refinement for Template-Free Hand-Object Interaction

Yiyao Huang, Zhedong Zheng, Yu Ziwei +3

Pre-defined 3D object templates are widely used in 3D reconstruction of hand-object interactions. However, they often require substantial manual efforts to capture or source, and i…

cs.CV2025

A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds

Jizong Peng, Tze Ho Elden Tse, Kai Xu +2

3D Gaussian Splatting (3DGS) is a powerful reconstruction technique, but it needs to be initialized from accurate camera poses and high-fidelity point clouds. Typically, the initia…

cs.CV2025

Visual Intention Grounding for Egocentric Assistants

Pengzhan Sun, Junbin Xiao, Tze Ho Elden Tse +3

Visual grounding associates textual descriptions with objects in an image. Conventional methods target third-person image inputs and named object queries. In applications such as A…

cs.CV2025

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

Tze Ho Elden Tse, Runyang Feng, Linfang Zheng +5

With the availability of egocentric 3D hand-object interaction datasets, there is increasing interest in developing unified models for hand-object pose estimation and action recogn…