Ke Zhang

Orcid: 0000-0003-2415-1519

Affiliations:
  • Tsinghua University, Tsinghua Berkeley Shenzhen Institute, China


According to our database1, Ke Zhang authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FCL-COD: Weakly Supervised Camouflaged Object Detection with Frequency-aware and Contrastive Learning.
CoRR, March, 2026

2025
CLIP-AE: CLIP-assisted Cross-view Audio-Visual Enhancement for Unsupervised Temporal Action Localization.
CoRR, May, 2025

EAV-Mamba: Efficient Audio-Visual Representation Learning for Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
PatchNet: Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

2023
Weakly Supervised Instance Segmentation by Exploring Entire Object Regions.
IEEE Trans. Multim., 2023

High-Frequency Normalizing Flow for Image Rescaling.
IEEE Trans. Image Process., 2023

2020
Double Shot: Preserve and Erase Based Class Attention Networks for Weakly Supervised Localization (Peca-Net).
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020


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