Can Zhang
Orcid: 0000-0001-9530-5218Affiliations:
- Peking University, School of Electrical and Computer Engineering, Shenzhen, China
According to our database1,
Can Zhang
authored at least 24 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Pattern Recognit., April, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Image Process., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
AFNet: Temporal Locality-Aware Network With Dual Structure for Accurate and Fast Action Detection.
IEEE Trans. Multim., 2021
Image Vis. Comput., 2021
Synergic learning for noise-insensitive webly-supervised temporal action localization.
Image Vis. Comput., 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
2019
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019
PAN: Persistent Appearance Network with an Efficient Motion Cue for Fast Action Recognition.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Discriminative Feature Learning Using Two-Stage Training Strategy for Facial Expression Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019