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20162026
most citedHand3D: Hand Pose Estimation using 3D Neural Network

67 citations · 73 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

MFlowHOI: Whole-Body Human-Object Interaction Generation via Part-Aware MeanFlow

Qiang He, Yonghao Zhang, Yinda Zhang +7

Whole-body human-object interaction (HOI) generation requires coordinating body and finger motion, object trajectories, and time-varying contacts. Existing methods typically rely o…

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.CV2017★ 67 cited

Hand3D: Hand Pose Estimation using 3D Neural Network

Xiaoming Deng, Shuo Yang, Yinda Zhang +3

We propose a novel 3D neural network architecture for 3D hand pose estimation from a single depth image. Different from previous works that mostly run on 2D depth image domain and…

cs.CV2016★ 4 cited

Joint Hand Detection and Rotation Estimation by Using CNN

Xiaoming Deng, Ye Yuan, Yinda Zhang +4

Hand detection is essential for many hand related tasks, e.g. parsing hand pose, understanding gesture, which are extremely useful for robotics and human-computer interaction. Howe…