activity
20182023
most citedMotion-driven Visual Tempo Learning for Video-based Action Recognition

98 citations · 286 across the 12 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 2 cited

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…

cs.CV2022★ 13 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 98 cited

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…

cs.CV2022★ 76 cited

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…