Search Results for author: Haodong Duan

Found 9 papers, 7 papers with code

Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks

1 code implementation20 Sep 2022 Haodong Duan, Yue Zhao, Kai Chen, Yuanjun Xiong, Dahua Lin

Deep learning models have achieved excellent recognition results on large-scale video benchmarks.

Action Recognition

PYSKL: Towards Good Practices for Skeleton Action Recognition

1 code implementation19 May 2022 Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin

The toolbox supports a wide variety of skeleton action recognition algorithms, including approaches based on GCN and CNN.

Action Recognition Skeleton Based Action Recognition

OCSampler: Compressing Videos to One Clip with Single-step Sampling

no code implementations CVPR 2022 Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, LiMin Wang

Recent works prefer to formulate frame sampling as a sequential decision task by selecting frames one by one according to their importance, while we present a new paradigm of learning instance-specific video condensation policies to select informative frames for representing the entire video only in a single step.

Video Recognition

Revisiting Skeleton-based Action Recognition

3 code implementations CVPR 2022 Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai

In this work, we propose PoseC3D, a new approach to skeleton-based action recognition, which relies on a 3D heatmap stack instead of a graph sequence as the base representation of human skeletons.

 Ranked #1 on Skeleton Based Action Recognition on NTU RGB+D (using extra training data)

Action Recognition Group Activity Recognition +2

Omni-sourced Webly-supervised Learning for Video Recognition

3 code implementations ECCV 2020 Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin

Then a joint-training strategy is proposed to deal with the domain gaps between multiple data sources and formats in webly-supervised learning.

Ranked #2 on Action Recognition on UCF101 (using extra training data)

Action Classification Action Recognition +1

TRB: A Novel Triplet Representation for Understanding 2D Human Body

2 code implementations ICCV 2019 Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang

In this paper, we propose the Triplet Representation for Body (TRB) -- a compact 2D human body representation, with skeleton keypoints capturing human pose information and contour keypoints containing human shape information.

Conditional Image Generation

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