| Tracking multiple persons based on a variational bayesian model Y Ban, S Ba, X Alameda-Pineda, R Horaud European Conference on Computer Vision, 52-67, 2016 | 57 | 2016 |
| Exploiting the complementarity of audio and visual data in multi-speaker tracking Y Ban, L Girin, X Alameda-Pineda, R Horaud Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 20 | 2017 |
| Tracking a varying number of people with a visually-controlled robotic head Y Ban, X Alameda-Pineda, F Badeig, S Ba, R Horaud 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 19 | 2017 |
| A deep network for arousal-valence emotion prediction with acoustic-visual cues S Peng, L Zhang, Y Ban, M Fang, S Winkler arXiv preprint arXiv:1805.00638, 2018 | 17 | 2018 |
| Variational bayesian inference for audio-visual tracking of multiple speakers Y Ban, X Alameda-Pineda, L Girin, R Horaud IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 16 | 2019 |
| DeepMOT: A differentiable framework for training multiple object trackers Y Xu, Y Ban, X Alameda-Pineda, R Horaud arXiv preprint arXiv:1906.06618, 2019 | 10 | 2019 |
| How To Train Your Deep Multi-Object Tracker Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 9 | 2020 |
| Tracking multiple audio sources with the von mises distribution and variational em Y Ban, X Alameda-Pineda, C Evers, R Horaud IEEE Signal Processing Letters 26 (6), 798-802, 2019 | 9 | 2019 |
| Online localization and tracking of multiple moving speakers in reverberant environments X Li, Y Ban, L Girin, X Alameda-Pineda, R Horaud IEEE Journal of Selected Topics in Signal Processing 13 (1), 88-103, 2019 | 9 | 2019 |
| Accounting for room acoustics in audio-visual multi-speaker tracking Y Ban, X Li, X Alameda-Pineda, L Girin, R Horaud 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 9 | 2018 |
| A cascaded multiple-speaker localization and tracking system X Li, Y Ban, L Girin, X Alameda-Pineda, R Horaud arXiv preprint arXiv:1812.04417, 2018 | 1 | 2018 |
| Training with Pooled Annotations from Multiple Surgeons Has No Effect on a Deep Learning Artificial Intelligence Model's Performance TM Ward, D Hashimoto, Y Ban, ER Witkowski, KD Lillemoe, G Rosman, ... Journal of the American College of Surgeons 231 (4), e203, 2020 | | 2020 |
| Aggregating Long-Term Context for Learning Surgical Workflows Y Ban, G Rosman, T Ward, D Hashimoto, T Kondo, O Meireles, D Rus arXiv preprint arXiv:2009.00681, 2020 | | 2020 |
| Automated operative phase identification in peroral endoscopic myotomy TM Ward, DA Hashimoto, Y Ban, DW Rattner, H Inoue, KD Lillemoe, ... Surgical Endoscopy, 1-8, 2020 | | 2020 |
| Audio-Visual Variational Fusion for Multi-Person Tracking with Robots X Alameda-Pineda, S Arias, Y Ban, G Delorme, L Girin, R Horaud, X Li, ... Proceedings of the 27th ACM International Conference on Multimedia, 1059-1061, 2019 | | 2019 |
| 2019 Index IEEE Journal of Selected Topics in Signal Processing Vol. 13 S Adavanne, P Agrawal, N Al-Dhahir, MS Alam, X Alameda-Pineda, ... IEEE Journal of Selected Topics in Signal Processing 13 (6), 2019 | | 2019 |
| Suivi multi-locuteurs avec information audio-visuel pour la perception du robot Y Ban Université Grenoble Alpes (ComUE), 2019 | | 2019 |
| Audio-visual multiple-speaker tracking for robot perception Y Ban | | 2019 |
| How To Train Your Deep Multi-Object Tracker Download PDF Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixe, X Alameda-Pineda | | |
| Supplementary Material: How To Train Your Deep Multi-Object Tracker Y Xu, A Osep, Y Ban, R Horaud, LLTX Alameda-Pineda | | |
Radu Patrice HoraudSenior research scientist, head of the Perception team, INRIAVerified email at inria.fr
