5 citations · 7 across the 11 of their papers we have counts for
11 papers
Force-Aware 3D Contact Modeling for Stable Grasp Generation
Zhuo Chen, Zhongqun Zhang, Yihua Cheng +2
Contact-based grasp generation plays a crucial role in various applications. Recent methods typically focus on the geometric structure of objects, producing grasps with diverse han…
RTGaze: Real-Time 3D-Aware Gaze Redirection from a Single Image
Hengfei Wang, Zhongqun Zhang, Yihua Cheng +1
Gaze redirection methods aim to generate realistic human face images with controllable eye movement. However, recent methods often struggle with 3D consistency, efficiency, or qual…
CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
Zhiyuan Wu, Rolandos Alexandros Potamias, Xuyang Zhang +3
Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial f…
3D Prior is All You Need: Cross-Task Few-shot 2D Gaze Estimation
Yihua Cheng, Hengfei Wang, Zhongqun Zhang +4
3D and 2D gaze estimation share the fundamental objective of capturing eye movements but are traditionally treated as two distinct research domains. In this paper, we introduce a n…
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model
Zhongqun Zhang, Hengfei Wang, Ziwei Yu +3
Modeling the physical contacts between the hand and object is standard for refining inaccurate hand poses and generating novel human grasp in 3D hand-object reconstruction. However…
TextGaze: Gaze-Controllable Face Generation with Natural Language
Hengfei Wang, Zhongqun Zhang, Yihua Cheng +1
Generating face image with specific gaze information has attracted considerable attention. Existing approaches typically input gaze values directly for face generation, which is un…
NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction
Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero +3
Modeling hand-object interactions is a fundamentally challenging task in 3D computer vision. Despite remarkable progress that has been achieved in this field, existing methods stil…
Multi-Modal Gaze Following in Conversational Scenarios
Yuqi Hou, Zhongqun Zhang, Nora Horanyi +3
Gaze following estimates gaze targets of in-scene person by understanding human behavior and scene information. Existing methods usually analyze scene images for gaze following. Ho…
High-Fidelity Eye Animatable Neural Radiance Fields for Human Face
Hengfei Wang, Zhongqun Zhang, Yihua Cheng +1
Face rendering using neural radiance fields (NeRF) is a rapidly developing research area in computer vision. While recent methods primarily focus on controlling facial attributes s…
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation
Wei Chen, Xi Jia, Zhongqun Zhang +4
In this paper, we propose a novel 3D graph convolution based pipeline for category-level 6D pose and size estimation from monocular RGB-D images. The proposed method leverages an e…
SContact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim +3
Despite the recent efforts in accurate 3D annotations in hand and object datasets, there still exist gaps in 3D hand and object reconstructions. Existing works leverage contact map…