| Use what you have: Video retrieval using representations from collaborative experts Y Liu, S Albanie, A Nagrani, A Zisserman arXiv preprint arXiv:1907.13487, 2019 | 406 | 2019 |
| Re-weighted adversarial adaptation network for unsupervised domain adaptation Q Chen, Y Liu, Z Wang, I Wassell, K Chetty Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 162 | 2018 |
| Teachtext: Crossmodal generalized distillation for text-video retrieval I Croitoru, SV Bogolin, M Leordeanu, H Jin, A Zisserman, S Albanie, Y Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 124 | 2021 |
| Synthetically supervised feature learning for scene text recognition Y Liu, Z Wang, H Jin, I Wassell Proceedings of the European Conference on Computer Vision (ECCV), 435-451, 2018 | 102 | 2018 |
| Amplifying key cues for human-object-interaction detection Y Liu, Q Chen, A Zisserman European Conference on Computer Vision, 248-265, 2020 | 91 | 2020 |
| Cross modal retrieval with querybank normalisation SV Bogolin, I Croitoru, H Jin, Y Liu, S Albanie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 65 | 2022 |
| Multi-task adversarial network for disentangled feature learning Y Liu, Z Wang, H Jin, I Wassell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 64 | 2018 |
| Simultaneous Bayesian sparse approximation with structured sparse models W Chen, D Wipf, Y Wang, Y Liu, IJ Wassell IEEE Transactions on Signal Processing 64 (23), 6145-6159, 2016 | 58 | 2016 |
| Weakly supervised temporal sentence grounding with gaussian-based contrastive proposal learning M Zheng, Y Huang, Q Chen, Y Peng, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 53 | 2022 |
| Cross-sentence temporal and semantic relations in video activity localisation J Huang, Y Liu, S Gong, H Jin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 52 | 2021 |
| Dictionary learning inspired deep network for scene recognition Y Liu, Q Chen, W Chen, I Wassell Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 52 | 2018 |
| Weakly supervised video moment localization with contrastive negative sample mining M Zheng, Y Huang, Q Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3517-3525, 2022 | 44 | 2022 |
| Queryd: A video dataset with high-quality text and audio narrations AM Oncescu, JF Henriques, Y Liu, A Zisserman, S Albanie ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 35 | 2021 |
| Adaptive cross-modal prototypes for cross-domain visual-language retrieval Y Liu, Q Chen, S Albanie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| Font recognition using triplet loss neural network training Y Liu, Z Wang, H Jin US Patent 10,515,295, 2019 | 22 | 2019 |
| DopNet: A deep convolutional neural network to recognize armed and unarmed human targets Q Chen, Y Liu, F Fioranelli, M Ritchie, B Tan, K Chetty IEEE Sensors Journal 19 (11), 4160-4172, 2019 | 19 | 2019 |
| Mind-the-gap! unsupervised domain adaptation for text-video retrieval Q Chen, Y Liu, S Albanie Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1072-1080, 2021 | 18 | 2021 |
| Structure-aware feature fusion for unsupervised domain adaptation Q Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10567 …, 2020 | 18 | 2020 |
| Respiration and activity detection based on passive radio sensing in home environments Q Chen, Y Liu, B Tan, K Woodbridge, K Chetty IEEE Access 8, 12426-12437, 2020 | 18 | 2020 |
| Font recognition by dynamically weighting multiple deep learning neural networks Y Liu, Z Wang, IM Pao, H Jin US Patent 10,515,296, 2019 | 17 | 2019 |
Qingchao ChenAssistant Professor, Peking UniversityVerified email at ucl.ac.uk
