| Learning to Learn Single Domain Generalization F Qiao, L Zhao, X Peng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 537 | 2020 |
| 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 | 93* | 2018 |
| Uncertainty-guided model generalization to unseen domains F Qiao, X Peng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 78 | 2021 |
| 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 (TPAMI) 46 (3 …, 2022 | 40 | 2022 |
| Robust facial expression recognition with generative adversarial networks NM Yao, QP Guo, FC Qiao, H Chen, HA Wang Acta Automatica Sinica 44 (5), 865-877, 2018 | 39* | 2018 |
| 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 | 19 | 2018 |
| Are Data-driven Explanations Robust against Out-of-distribution Data? T Li, F Qiao, M Ma, X Peng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3821-3831, 2023 | 14 | 2023 |
| Topology-aware robust optimization for out-of-distribution generalization F Qiao, X Peng International Conference on Learning Representations (ICLR), 2023 | 12 | 2023 |
| An ensemble of VGG Networks for video-based facial expression recognition Z Jiao, F Qiao, N Yao, Z Li, H Chen, H Wang Asian Conference on Affective Computing and Intelligent Interaction (ACII …, 2018 | 5 | 2018 |
| Learning to learn single domain generalization. 2020 IEEE F Qiao, L Zhao, X Peng CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12553-12562, 0 | 2 | |
| Ensemble Pruning for Out-of-distribution Generalization F Qiao, X Peng International Conference on Machine Learning (ICML), 0 | 2* | |
| Adaptive Cascading Network for Continual Test-Time Adaptation KX Nguyen*, F Qiao*, X Peng (* denotes equal contribution) ACM International Conference on Information and Knowledge Management (CIKM), 2024 | 1 | 2024 |
| SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey KX Nguyen, F Qiao, A Trembanis, X Peng Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2024 | | 2024 |
| Supplementary Material: SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey KX Nguyen, F Qiao, A Trembanis, X Peng | | |
| Uncertainty-guided Model Generalization to Unseen Domains Supplementary Materials F Qiao, X Peng | | |
| Are Data-driven Explanations Robust against Out-of-distribution Data? Supplementary Material T Li, F Qiao, M Ma, X Peng | | |
| Calibrating Probabilistic Embeddings for Cross-Modal Retrieval F Qiao, X Peng | | |
| Graph-Relational Distributionally Robust Optimization F Qiao, X Peng NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 0 | | |
Xi PengAssistant Professor, Computer Science, University of DelawareAdresă de e-mail confirmată pe udel.edu