Chunhui Liu
Chunhui Liu
Applied Scientist,
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PKU-MMD: A large scale benchmark for skeleton-based human action understanding
C Liu, Y Hu, Y Li, S Song, J Liu
Proceedings of the Workshop on Visual Analysis in Smart and Connected …, 2017
Online action detection and forecast via multitask deep recurrent neural networks
C Liu, Y Li, Y Hu, J Liu
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
A comprehensive study of deep video action recognition
Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ...
arXiv preprint arXiv:2012.06567, 2020
Temporal Perceptive Network for Skeleton-Based Action Recognition
Y Hu, C Liu, Y Li, S Song, J Liu
British Machine Vision Conference (BMVC), 2017
VidTr: Video Transformer Without Convolutions
Y Zhang, X Li, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
NUTA: Non-uniform Temporal Aggregation for Action Recognition
X Li, C Liu, B Shuai, Y Zhu, H Chen, J Tighe
arXiv preprint arXiv:2012.08041, 2020
A benchmark dataset and comparison study for multi-modal human action analytics
J Liu, S Song, C Liu, Y Li, Y Hu
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020
TubeR: Tube-Transformer for Action Detection
J Zhao, X Li, C Liu, S Bing, H Chen, CGM Snoek, J Tighe
arXiv preprint arXiv:2104.00969, 2021
Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset
B Shuai, A Berneshawi, M Wang, C Liu, D Modolo, X Li, J Tighe
Proceedings of the 28th ACM International Conference on Multimedia, 4625-4629, 2020
Patch correspondences for interpreting pixel-level CNNs
V Fragoso, C Liu, A Bansal, D Ramanan
arXiv preprint arXiv:1711.10683, 2017
Selective Feature Compression for Efficient Activity Recognition Inference
C Liu, X Li, H Chen, D Modolo, J Tighe
arXiv preprint arXiv:2104.00179, 2021
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing
Z Wang, H Chen, X Li, C Liu, Y Xiong, J Tighe, C Fowlkes
arXiv preprint arXiv:2105.14158, 2021
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