98 citations · 286 across the 12 of their papers we have counts for
12 papers · 1 filter
PHRIT: Parametric Hand Representation with Implicit Template
Zhisheng Huang, Yujin Chen, Di Kang +2
We propose PHRIT, a novel approach for parametric hand mesh modeling with an implicit template that combines the advantages of both parametric meshes and implicit representations.…
Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry
Jiaxu Zhang, Junwu Weng, Di Kang +7
A good motion retargeting cannot be reached without reasonable consideration of source-target differences on both the skeleton and shape geometry levels. In this work, we propose a…
Distilling Inter-Class Distance for Semantic Segmentation
Zhengbo Zhang, Chunluan Zhou, Zhigang Tu
Knowledge distillation is widely adopted in semantic segmentation to reduce the computation cost.The previous knowledge distillation methods for semantic segmentation focus on pixe…
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
Jinlu Zhang, Zhigang Tu, Jianyu Yang +2
Recent transformer-based solutions have been introduced to estimate 3D human pose from 2D keypoint sequence by considering body joints among all frames globally to learn spatio-tem…
Optical Flow for Video Super-Resolution: A Survey
Zhigang Tu, Hongyan Li, Wei Xie +4
Video super-resolution is currently one of the most active research topics in computer vision as it plays an important role in many visual applications. Generally, video super-reso…
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition
Zhigang Tu, Jiaxu Zhang, Hongyan Li +2
In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition. However, most GCN-based methods still have two m…
Motion-driven Visual Tempo Learning for Video-based Action Recognition
Yuanzhong Liu, Junsong Yuan, Zhigang Tu
Action visual tempo characterizes the dynamics and the temporal scale of an action, which is helpful to distinguish human actions that share high similarities in visual dynamics an…
Consistent 3D Hand Reconstruction in Video via self-supervised Learning
Zhigang Tu, Zhisheng Huang, Yujin Chen +4
We present a method for reconstructing accurate and consistent 3D hands from a monocular video. We observe that detected 2D hand keypoints and the image texture provide important c…
Model-based 3D Hand Reconstruction via Self-Supervised Learning
Yujin Chen, Zhigang Tu, Di Kang +5
Reconstructing a 3D hand from a single-view RGB image is challenging due to various hand configurations and depth ambiguity. To reliably reconstruct a 3D hand from a monocular imag…
Multi-Attribute Enhancement Network for Person Search
Lequan Chen, Wei Xie, Zhigang Tu +3
Person Search is designed to jointly solve the problems of Person Detection and Person Re-identification (Re-ID), in which the target person will be located in a large number of un…
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
Yujin Chen, Zhigang Tu, Di Kang +4
Accurate 3D reconstruction of the hand and object shape from a hand-object image is important for understanding human-object interaction as well as human daily activities. Differen…
Actor-Action Semantic Segmentation with Region Masks
Kang Dang, Chunluan Zhou, Zhigang Tu +3
In this paper, we study the actor-action semantic segmentation problem, which requires joint labeling of both actor and action categories in video frames. One major challenge for t…