Fan Zhang

Orcid: 0000-0001-5250-7258

Affiliations:
  • Georgia Institute of Technology, Department of Electrical and Computer Engineering, Shenzhen, China


According to our database1, Fan Zhang authored at least 11 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Facial Action Units as a Joint Dataset Training Bridge for Facial Expression Recognition.
IEEE Trans. Multim., 2025

LEAF: Unveiling two sides of the same coin in semi-supervised facial expression recognition.
Comput. Vis. Image Underst., 2025

DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

FATE: Learning Effective Binary Descriptors With Group Fairness.
IEEE Trans. Image Process., 2024

3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework.
CoRR, 2024

MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition.
CoRR, 2024

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DEMO: A Statistical Perspective for Efficient Image-Text Matching.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Semi-Supervised Multimodal Emotion Recognition with Expression MAE.
Proceedings of the 31st ACM International Conference on Multimedia, 2023


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