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Zeng Tao
Zeng Tao
在 fudan.edu.cn 的电子邮件经过验证 - 首页
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Freq-hd: An interpretable frequency-based high-dynamics affective clip selection method for in-the-wild facial expression recognition in videos
Z Tao, Y Wang, Z Chen, B Wang, S Yan, K Jiang, S Gao, W Zhang
Proceedings of the 31st ACM International Conference on Multimedia, 843-852, 2023
52023
Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning
S Yan, Y Wang, X Mai, Q Zhao, W Song, J Huang, Z Tao, H Wang, S Gao, ...
Computer Communications 216, 130-139, 2024
42024
A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment
B Wang, Y Wang, Q Zhao, J Lin, Z Tao, P Guo, Z Chen, K Jiang, S Yan, ...
Proceedings of the 31st ACM International Conference on Multimedia, 7403-7412, 2023
22023
From Efficient Multimodal Models to World Models: A Survey
X Mai, Z Tao, J Lin, H Wang, Y Chang, Y Kang, Y Wang, W Zhang
arXiv preprint arXiv:2407.00118, 2024
2024
Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution
J Lin, Z Tao, X Tong, X Mai, H Wang, B Wang, Y Wang, Q Zhao, J Yu, ...
arXiv preprint arXiv:2406.16459, 2024
2024
Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving Uncertainty in Dynamic Facial Expression Recognition
H Wang, X Mai, Z Tao, X Tong, J Lin, Y Wang, J Yu, B Wang, S Yan, ...
arXiv preprint arXiv:2406.16473, 2024
2024
OUS: Scene-Guided Dynamic Facial Expression Recognition
X Mai, H Wang, Z Tao, J Lin, S Yan, Y Wang, J Liu, J Yu, X Tong, Y Li, ...
arXiv preprint arXiv:2405.18769, 2024
2024
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
J Lin, Y Wang, Z Tao, B Wang, Q Zhao, H Wang, X Tong, X Mai, Y Lin, ...
arXiv preprint arXiv:2403.05808, 2024
2024
Exploring the Adversarial Robustness of Video Object Segmentation via One-shot Adversarial Attacks
K Jiang, L Hong, Z Chen, P Guo, Z Tao, Y Wang, W Zhang
Proceedings of the 31st ACM International Conference on Multimedia, 8598-8607, 2023
2023
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