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 | 124 | 2020 |
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 | 75 | 2016 |
Transcenter: Transformers with dense queries for multiple-object tracking Y Xu, Y Ban, G Delorme, C Gan, D Rus, X Alameda-Pineda arXiv preprint arXiv:2103.15145, 2021 | 53* | 2021 |
Deepmot: A differentiable framework for training multiple object trackers Y Xu, Y Ban, X Alameda-Pineda, R Horaud arXiv preprint arXiv:1906.06618 10 (11), 2019 | 37 | 2019 |
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 43 (5), 1761-1776, 2019 | 34 | 2019 |
Computer vision in surgery TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy, O Meireles, ... Surgery 169 (5), 1253-1256, 2021 | 29 | 2021 |
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 | 29* | 2019 |
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 | 28 | 2017 |
Automated operative phase identification in peroral endoscopic myotomy TM Ward, DA Hashimoto, Y Ban, DW Rattner, H Inoue, KD Lillemoe, ... Surgical Endoscopy 35 (7), 4008-4015, 2021 | 26 | 2021 |
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 | 25 | 2018 |
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 | 23 | 2017 |
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 | 19 | 2019 |
Sages consensus recommendations on an annotation framework for surgical video OR Meireles, G Rosman, MS Altieri, L Carin, G Hager, A Madani, N Padoy, ... Surgical endoscopy 35 (9), 4918-4929, 2021 | 16 | 2021 |
Challenges in surgical video annotation TM Ward, DM Fer, Y Ban, G Rosman, OR Meireles, DA Hashimoto Computer Assisted Surgery 26 (1), 58-68, 2021 | 14 | 2021 |
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 | 14 | 2018 |
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows Y Ban, G Rosman, T Ward, D Hashimoto, T Kondo, H Iwaki, O Meireles, ... IEEE International Conference on Robotics and Automation (ICRA), 2021, 2021 | 7* | 2021 |
Transformers with Dense Queries for Multiple-Object Tracking. arXiv 2021 Y Xu, Y Ban, G Delorme, C Gan, D Rus, XTC Alameda-Pineda arXiv preprint arXiv:2103.15145, 0 | 7 | |
Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation TM Ward, DA Hashimoto, Y Ban, G Rosman, OR Meireles Surgical Endoscopy, 1-9, 2022 | 4 | 2022 |
Supr-gan: Surgical prediction gan for event anticipation in laparoscopic and robotic surgery Y Ban, G Rosman, JA Eckhoff, TM Ward, DA Hashimoto, T Kondo, H Iwaki, ... IEEE Robotics and Automation Letters 7 (2), 5741-5748, 2022 | 3* | 2022 |
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 | 3 | 2019 |