| Audio-visual object localization and separation using low-rank and sparsity J Pu, Y Panagakis, S Petridis, M Pantic 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 37 | 2017 |
| Blind audio–visual localization and separation via low-rank and sparsity J Pu, Y Panagakis, S Petridis, J Shen, M Pantic IEEE transactions on cybernetics 50 (5), 2288-2301, 2018 | 14 | 2018 |
| Learning low rank and sparse models via robust autoencoders J Pu, Y Panagakis, M Pantic ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| Scaling Effect of Self-Supervised Speech Models J Pu, Y Yang, R Li, O Elibol, J Droppo Interspeech, 1084-1088, 2021 | 6 | 2021 |
| Learning separable time-frequency filterbanks for audio classification J Pu, Y Panagakis, M Pantic ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| Active speaker detection and localization in videos using low-rank and kernelized sparsity J Pu, Y Panagakis, M Pantic IEEE Signal Processing Letters 27, 865-869, 2020 | 3 | 2020 |
| Learning differentiable sparse and low rank networks for audio-visual object localization J Pu, Y Panagakis, M Pantic ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
| Building synthetic speaker profiles in text-to-speech systems J Pu, Y Meng, O Elibol arXiv preprint arXiv:2202.03125, 2022 | 1 | 2022 |
| Machine learning methods for audio-visual event analysis J Pu Imperial College London, 2020 | | 2020 |
Maja PanticFacebook (United States) / Imperial College LondonVerified email at imperial.ac.uk
