| Counterfactual multi-agent policy gradients J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson AAAI Conference on Artificial Intelligence, 2017 | 1479 | 2017 |
| Stabilising experience replay for deep multi-agent reinforcement learning J Foerster, N Nardelli, G Farquhar, T Afouras, PHS Torr, P Kohli, ... International Conference on Machine Learning (ICML), 2017 | 590 | 2017 |
| Deep audio-visual speech recognition T Afouras, JS Chung, A Senior, O Vinyals, A Zisserman IEEE transactions on pattern analysis and machine intelligence 44 (12), 8717 …, 2018 | 512 | 2018 |
| The conversation: Deep audio-visual speech enhancement T Afouras, JS Chung, A Zisserman INTERSPEECH, 2018 | 303 | 2018 |
| LRS3-TED: a large-scale dataset for visual speech recognition T Afouras, JS Chung, A Zisserman arXiv preprint arXiv:1809.00496, 2018 | 207 | 2018 |
| Self-Supervised Learning of Audio-Visual Objects from Video T Afouras, A Owens, JS Chung, A Zisserman European Conference on Computer Vision (ECCV), 2020 | 159 | 2020 |
| Deep lip reading: a comparison of models and an online application T Afouras, JS Chung, A Zisserman INTERSPEECH, 2018 | 107 | 2018 |
| Spot the conversation: speaker diarisation in the wild JS Chung, J Huh, A Nagrani, T Afouras, A Zisserman INTERSPEECH, 2020 | 92 | 2020 |
| BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues S Albanie, G Varol, L Momeni, T Afouras, JS Chung, N Fox, A Zisserman European Conference on Computer Vision (ECCV), 2020 | 90 | 2020 |
| ASR is all you need: Cross-modal distillation for lip reading T Afouras, JS Chung, A Zisserman ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 85 | 2020 |
| Localizing visual sounds the hard way A Vedaldi, H Chen, W Xie, T Afouras, A Nagrani, A Zisserman Institute of Electrical and Electronics Engineers, 2021 | 71* | 2021 |
| My lips are concealed: Audio-visual speech enhancement through obstructions T Afouras, JS Chung, A Zisserman arXiv preprint arXiv:1907.04975, 2019 | 64 | 2019 |
| Seeing wake words: Audio-visual keyword spotting L Momeni, T Afouras, T Stafylakis, S Albanie, A Zisserman arXiv preprint arXiv:2009.01225, 2020 | 35 | 2020 |
| Watch, read and lookup: learning to spot signs from multiple supervisors L Momeni, G Varol, S Albanie, T Afouras, A Zisserman Proceedings of the Asian Conference on Computer Vision, 2020 | 32 | 2020 |
| Read and attend: Temporal localisation in sign language videos G Varol, L Momeni, S Albanie, T Afouras, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 24 | 2021 |
| Sub-word Level Lip Reading With Visual Attention KR Prajwal, T Afouras, A Zisserman arXiv preprint arXiv:2110.07603, 2021 | 22 | 2021 |
| Self-supervised object detection from audio-visual correspondence T Afouras, YM Asano, F Fagan, A Vedaldi, F Metze Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| Audio-visual synchronisation in the wild H Chen, W Xie, T Afouras, A Nagrani, A Vedaldi, A Zisserman arXiv preprint arXiv:2112.04432, 2021 | 15 | 2021 |
| Aligning subtitles in sign language videos H Bull, T Afouras, G Varol, S Albanie, L Momeni, A Zisserman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
| Bbc-oxford british sign language dataset S Albanie, G Varol, L Momeni, H Bull, T Afouras, H Chowdhury, N Fox, ... arXiv preprint arXiv:2111.03635, 2021 | 10 | 2021 |
Andrew ZissermanUniversity of OxfordEmail verificata su robots.ox.ac.uk
