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 | 513 | 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 | 227 | 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 | 183 | 2020 |
Semi-Supervised Learning under Class Distribution Mismatch Y Chen, X Zhu, W Li, S Gong AAAI Conference on Artificial Intelligence, 2020 | 167 | 2020 |
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 | 112 | 2022 |
Deep Association Learning for Unsupervised Video Person Re-Identification Y Chen, X Zhu, S Gong British Machine Vision Conference, 2018 | 101 | 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 | 87 | 2021 |
Semi-Supervised Deep Learning with Memory Y Chen, X Zhu, S Gong European Conference on Computer Vision, 2018 | 83 | 2018 |
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval Y Chen, L Bazzani European Conference on Computer Vision, 2020 | 76 | 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 | 46 | 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 | 37 | 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 | 27 | 2022 |
Robustness via Uncertainty-aware Cycle Consistency U Upadhyay, Y Chen, Z Akata Advances in Neural Information Processing Systems (NeurIPS), 2021 | 25* | 2021 |
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 | 19 | 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 | 17 | 2023 |
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 | 8 | 2023 |
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment Y Ma, Y Chen, Z Akata British Machine Vision Conference, 2022 | 7 | 2022 |
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 | 5 | 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 | 3 | 2021 |
Self-supervised multi-object tracking with path consistency Z Lu, B Shuai, Y Chen, Z Xu, D Modolo | 2 | 2024 |