Chunhui Liu

Affiliations:
  • ByteDance, Beijing, China
  • Amazon Web Services, Seattle, WA, USA
  • Peking University, Institute of Computer Science and Technology, Beijing, China


According to our database1, Chunhui Liu authored at least 15 papers between 2017 and 2025.

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Bibliography

2025
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion.
CoRR, March, 2025

2022
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

NUTA: Non-uniform Temporal Aggregation for Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

TubeR: Tubelet Transformer for Video Action Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing.
CoRR, 2021

TubeR: Tube-Transformer for Action Detection.
CoRR, 2021

VidTr: Video Transformer Without Convolutions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Selective Feature Compression for Efficient Activity Recognition Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
A Benchmark Dataset and Comparison Study for Multi-modal Human Action Analytics.
ACM Trans. Multim. Comput. Commun. Appl., 2020

A Comprehensive Study of Deep Video Action Recognition.
CoRR, 2020

Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2017
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding.
CoRR, 2017

PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding.
Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities, 2017

Online action detection and forecast via Multitask deep Recurrent Neural Networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Temporal Perceptive Network for Skeleton-Based Action Recognition.
Proceedings of the British Machine Vision Conference 2017, 2017


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