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Fengchun Qiao
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Cited by
Year
Learning to Learn Single Domain Generalization
F Qiao, L Zhao, X Peng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
3922020
Geometry-contrastive gan for facial expression transfer
F Qiao, N Yao, Z Jiao, Z Li, H Chen, H Wang
arXiv preprint arXiv:1802.01822, 2018
86*2018
Uncertainty-guided model generalization to unseen domains
F Qiao, X Peng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
422021
Out-of-domain generalization from a single source: An uncertainty quantification approach
X Peng, F Qiao, L Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
202022
Emotional facial expression transfer from a single image via generative adversarial nets
F Qiao, N Yao, Z Jiao, Z Li, H Chen, H Wang
Computer Animation and Virtual Worlds 29 (3-4), e1819, 2018
172018
Robust facial expression recognition with generative adversarial networks
Y Nai-Ming, G Qing-Pei, Q Feng-Chun, C Hui, W Hong-An
Acta Automatica Sinica 44 (5), 865-877, 2018
82018
An ensemble of VGG networks for video-based facial expression recognition
Z Jiao, F Qiao, N Yao, Z Li, H Chen, H Wang
2018 First Asian Conference on Affective Computing and Intelligent …, 2018
42018
Topology-aware robust optimization for out-of-distribution generalization
F Qiao, X Peng
International Conference on Learning Representations (ICLR), 2023
22023
Are Data-driven Explanations Robust against Out-of-distribution Data?
T Li, F Qiao, M Ma, X Peng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Graph-Relational Distributionally Robust Optimization
F Qiao, X Peng
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
12022
Calibrating Probabilistic Embeddings for Cross-Modal Retrieval
F Qiao, X Peng
2021
Are Data-driven Explanations Robust against Out-of-distribution Data? Supplementary Material
T Li, F Qiao, M Ma, X Peng
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Articles 1–12