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20212026
most citedE-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches

15 citations · 16 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

TCATSeg: A Tooth Center-Wise Attention Network for 3D Dental Model Semantic Segmentation

Qiang He, Wentian Qu, Jiajia Dai +9

Accurate semantic segmentation of 3D dental models is essential for digital dentistry applications such as orthodontics and dental implants. However, due to complex tooth arrangeme…

cs.CV2025

HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation

Wentian Qu, Jiahe Li, Jian Cheng +6

Understanding of bimanual hand-object interaction plays an important role in robotics and virtual reality. However, due to significant occlusions between hands and object as well a…

cs.CV2025

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

Wentian Qu, Chenyu Meng, Heng Li +6

Object pose estimation, crucial in computer vision and robotics applications, faces challenges with the diversity of unseen categories. We propose a zero-shot method to achieve cat…

cs.CV2024

Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model

Yonghao Zhang, Qiang He, Yanguang Wan +4

Generating high-quality whole-body human object interaction motion sequences is becoming increasingly important in various fields such as animation, VR/AR, and robotics. The main c…

cs.CV20231 cited

Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views

Wentian Qu, Zhaopeng Cui, Yinda Zhang +4

Hand-object interaction understanding and the barely addressed novel view synthesis are highly desired in the immersive communication, whereas it is challenging due to the high def…

cs.CV2023

Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects

Baowen Zhang, Jiahe Li, Xiaoming Deng +3

Learning 3D shape representation with dense correspondence for deformable objects is a fundamental problem in computer vision. Existing approaches often need additional annotations…