| Person Re-Identification by Deep Learning Multi-Scale Representations Y Chen, X Zhu, S Gong IEEE Conference on International Conference on Computer Vision, Workshop on …, 2017 | 503 | 2017 |
| Instance-Guided Context Rendering for Cross-Domain Person Re-Identification Y Chen, X Zhu, S Gong IEEE Conference on International Conference on Computer Vision, 2019 | 222 | 2019 |
| Image Search with Text Feedback by Visiolinguistic Attention Learning Y Chen, S Gong, L Bazzani IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 168 | 2020 |
| Semi-Supervised Learning under Class Distribution Mismatch Y Chen, X Zhu, W Li, S Gong AAAI Conference on Artificial Intelligence, 2020 | 151 | 2020 |
| Deep Association Learning for Unsupervised Video Person Re-Identification Y Chen, X Zhu, S Gong British Machine Vision Conference, 2018 | 98 | 2018 |
| Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Y Chen, M Mancini, X Zhu, Z Akata IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 83 | 2022 |
| Semi-Supervised Deep Learning with Memory Y Chen, X Zhu, S Gong European Conference on Computer Vision, 2018 | 80 | 2018 |
| Distilling Audio-Visual Knowledge by Compositional Contrastive Learning Y Chen, Y Xian, S Koepke, Y Shan, Z Akata IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 79 | 2021 |
| Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval Y Chen, L Bazzani European Conference on Computer Vision, 2020 | 71 | 2020 |
| Attention consistency on visual corruptions for single-source domain generalization I Cugu, M Mancini, Y Chen, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Uncertainty-Guided Progressive GANs for Medical Image Translation U Upadhyay, Y Chen, T Hepp, S Gatidis, Z Akata International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 31 | 2021 |
| Robustness via Uncertainty-aware Cycle Consistency U Upadhyay, Y Chen, Z Akata Advances in Neural Information Processing Systems (NeurIPS), 2021 | 22* | 2021 |
| Probabilistic compositional embeddings for multimodal image retrieval A Neculai, Y Chen, Z Akata Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 20 | 2022 |
| BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks U Upadhyay, S Karthik, Y Chen, M Mancini, Z Akata European Conference on Computer Vision, 2022 | 17 | 2022 |
| Scaledet: A scalable multi-dataset object detector Y Chen, M Wang, A Mittal, Z Xu, P Favaro, J Tighe, D Modolo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment Y Ma, Y Chen, Z Akata British Machine Vision Conference, 2022 | 6 | 2022 |
| Challenges of zero-shot recognition with vision-language models: Granularity and correctness Z Xu, Y Zhu, T Deng, A Mittal, Y Chen, M Wang, P Favaro, J Tighe, ... arXiv preprint arXiv:2306.16048, 2023 | 5 | 2023 |
| Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval A Chaudhuri, M Mancini, Y Chen, Z Akata, A Dutta British Machine Vision Conference, 2022 | 4 | 2022 |
| Where and when: Space-time attention for audio-visual explanations Y Chen, T Hummel, A Koepke, Z Akata arXiv preprint arXiv:2105.01517, 2021 | 2 | 2021 |
| Benchmarking zero-shot recognition with vision-language models: Challenges on granularity and specificity Z Xu, Y Zhu, S Deng, A Mittal, Y Chen, M Wang, P Favaro, J Tighe, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Xiatian ZhuUniversity of SurreyПотвърден имейл адрес: surrey.ac.uk
