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Zhongqun Zhang

7 accepted papers

2026

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-Like Contact Representations

ICRA 2026poster

Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial for achieving versatile robotic manipulation in diverse environments and requires substantial amounts of reliable and div…

2026

Force-Aware 3D Contact Modeling for Stable Grasp Generation

AAAI 2026technical

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 hand poses and plausible contact points. However, these approaches often overlook the physical attributes of the grasp, spe

Cited by 0SourcePDFScholar
2026

RTGaze: Real-Time 3D-Aware Gaze Redirection from a Single Image

AAAI 2026technical

Gaze redirection methods aim to generate realistic human face images with controllable eye movement. However, recent methods often struggle with 3D consistency, efficiency, or quality, limiting their practical applications. In this work, we propose RTGaze, a real-time and high-quality gaze redirecti

Cited by 0SourcePDFScholar
2025

3D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation

CVPR 2025poster

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 novel cross-task few-shot 2D gaze estimation approach, aiming to adapt a pre-trained 3D gaze estimation network for 2D ga…

Cited by 0SourcePDFScholar
2025

Single-view Image to Novel-view Generation for Hand-Object Interactions

AAAI 2025technical

Hand-object interaction modeling from a single RGB image is a significantly challenging task. Previous works typically reconstruct hand-object interactions as texture-less meshes, ignoring photo-realistic image generation. In this work, we introduce the HO123, a novel method to synthesize novel-view…

Cited by 0SourcePDFScholar
2022

S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

ECCV 2022poster

"Being able to reason about the physical contacts between hands and objects is crucial in understanding hand-object manipulation. However, despite the efforts in accurate 3D annotations in hand and object datasets, there still exist gaps in 3D hand and object reconstructions. Recent works leverage c…

Cited by 21SourcePDFScholar
2022

Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline

ECCV 2022poster

"Tracking in 3D scenes is gaining momentum because of its numerous applications in robotics, autonomous driving, and scene understanding. Currently, 3D tracking is limited to specific model-based approaches involving point clouds, which impedes 3D trackers from applying in natural 3D scenes. RGBD se…