Qing Zhao
Orcid: 0009-0004-8319-5487Affiliations:
- Fudan University, Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
According to our database1,
Qing Zhao
authored at least 15 papers
between 2023 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Observe finer to select better: Learning key frame extraction via semantic coherence for dynamic facial expression recognition in the wild.
Inf. Sci., 2025
2024
MSC-AD: A Multiscene Unsupervised Anomaly Detection Dataset for Small Defect Detection of Casting Surface.
IEEE Trans. Ind. Informatics, April, 2024
All rivers run into the sea: Unified Modality Brain-like Emotional Central Mechanism.
CoRR, 2024
Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving Uncertainty in Dynamic Facial Expression Recognition.
CoRR, 2024
CoRR, 2024
A<sup>3</sup>lign-DFER: Pioneering Comprehensive Dynamic Affective Alignment for Dynamic Facial Expression Recognition with CLIP.
CoRR, 2024
Mixed noise-guided mutual constraint framework for unsupervised anomaly detection in smart industries.
Comput. Commun., 2024
Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning.
Comput. Commun., 2024
All rivers run into the sea: Unified Modality Brain-Inspired Emotional Central Mechanism.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Research on Task Decomposition and Motion Trajectory Optimization of Robotic Arm Based on VLA Large Model.
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023