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Yutong Ban
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2020 – today
- 2025
- [j8]Jianshu Hu, Paul Weng, Yutong Ban:
State-novelty guided action persistence in deep reinforcement learning. Mach. Learn. 114(2): 45 (2025) - [i19]Cheng Yuan, Jian Jiang, Kunyi Yang, Lv Wu, Rui Wang, Zi Meng, Haonan Ping, Ziyu Xu, Yifan Zhou, Wanli Song, Hesheng Wang, Qi Dou, Yutong Ban:
Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation. CoRR abs/2501.00525 (2025) - [i18]Han Fang, Paul Weng, Yutong Ban:
ASAP: Learning Generalizable Online Bin Packing via Adaptive Selection After Pruning. CoRR abs/2501.17377 (2025) - 2024
- [j7]Yutong Ban
, Jennifer A. Eckhoff
, Thomas M. Ward
, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus
, Guy Rosman
:
Concept Graph Neural Networks for Surgical Video Understanding. IEEE Trans. Medical Imaging 43(1): 264-274 (2024) - [c13]Han Fang, Zhihao Song, Paul Weng, Yutong Ban:
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. ICML 2024 - [c12]Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA 2024: 6687-6694 - [i17]Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery. CoRR abs/2402.01974 (2024) - [i16]Han Fang, Zhihao Song, Paul Weng, Yutong Ban:
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. CoRR abs/2402.02317 (2024) - [i15]Yunpeng Jiang, Paul Weng, Yutong Ban:
Enhancing Class Fairness in Classification with A Two-Player Game Approach. CoRR abs/2407.03146 (2024) - [i14]Jianshu Hu, Paul Weng, Yutong Ban:
State-Novelty Guided Action Persistence in Deep Reinforcement Learning. CoRR abs/2409.05433 (2024) - [i13]Cheng Yuan, Yutong Ban:
Surgical Scene Segmentation by Transformer With Asymmetric Feature Enhancement. CoRR abs/2410.17642 (2024) - 2023
- [j6]Yihong Xu
, Yutong Ban
, Guillaume Delorme, Chuang Gan
, Daniela Rus
, Xavier Alameda-Pineda
:
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7820-7835 (2023) - [c11]Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus:
On the Forward Invariance of Neural ODEs. ICML 2023: 38100-38124 - [c10]Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA 2023: 3576-3583 - [i12]Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. CoRR abs/2303.12224 (2023) - [i11]Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR abs/2310.17642 (2023) - 2022
- [j5]Bing Yang
, Runwei Ding, Yutong Ban, Xiaofei Li, Hong Liu:
Enhancing direct-path relative transfer function using deep neural network for robust sound source localization. CAAI Trans. Intell. Technol. 7(3): 446-454 (2022) - [j4]Yutong Ban
, Guy Rosman
, Jennifer A. Eckhoff
, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
:
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. IEEE Robotics Autom. Lett. 7(2): 5741-5748 (2022) - [c9]Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus:
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA 2022: 8992-8998 - [i10]Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Concept Graph Neural Networks for Surgical Video Understanding. CoRR abs/2202.13402 (2022) - 2021
- [j3]Yutong Ban
, Xavier Alameda-Pineda
, Laurent Girin
, Radu Horaud
:
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1761-1776 (2021) - [c8]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. ICRA 2021: 14531-14538 - [i9]Yihong Xu
, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda:
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. CoRR abs/2103.15145 (2021) - [i8]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUrgical PRediction GAN for Events Anticipation. CoRR abs/2105.04642 (2021) - 2020
- [c7]Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda:
How to Train Your Deep Multi-Object Tracker. CVPR 2020: 6786-6795 - [c6]Guillaume Delorme
, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda:
ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking. ICPR Workshops (6) 2020: 803-818 - [i7]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Surgical Workflows. CoRR abs/2009.00681 (2020)
2010 – 2019
- 2019
- [b1]Yutong Ban:
Audio-Visual Multiple-Speaker Tracking for Robot Perception. (Suivi multi-locuteurs avec des informations audio-visuelles pour la perception des robots). Grenoble Alpes University, France, 2019 - [j2]Xiaofei Li
, Yutong Ban
, Laurent Girin
, Xavier Alameda-Pineda
, Radu Horaud
:
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. IEEE J. Sel. Top. Signal Process. 13(1): 88-103 (2019) - [j1]Yutong Ban
, Xavier Alameda-Pineda
, Christine Evers
, Radu Horaud
:
Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM. IEEE Signal Process. Lett. 26(6): 798-802 (2019) - [c5]Xavier Alameda-Pineda, Soraya Arias, Yutong Ban, Guillaume Delorme, Laurent Girin, Radu Horaud, Xiaofei Li, Bastien Mourgue, Guillaume Sarrazin:
Audio-Visual Variational Fusion for Multi-Person Tracking with Robots. ACM Multimedia 2019: 1059-1061 - [i6]Yihong Xu
, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud:
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. CoRR abs/1906.06618 (2019) - 2018
- [c4]Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking. ICASSP 2018: 6553-6557 - [i5]Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler:
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues. CoRR abs/1805.00638 (2018) - [i4]Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. CoRR abs/1809.10936 (2018) - [i3]Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. CoRR abs/1809.10961 (2018) - [i2]Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
A cascaded multiple-speaker localization and tracking system. CoRR abs/1812.04417 (2018) - [i1]Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud:
Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM. CoRR abs/1812.08246 (2018) - 2017
- [c3]Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking. ICCV Workshops 2017: 446-454 - [c2]Yutong Ban, Xavier Alameda-Pineda, Fabien Badeig, Sileye O. Ba, Radu Horaud:
Tracking a varying number of people with a visually-controlled robotic head. IROS 2017: 4144-4151 - 2016
- [c1]Yutong Ban, Sileye O. Ba, Xavier Alameda-Pineda, Radu Horaud:
Tracking Multiple Persons Based on a Variational Bayesian Model. ECCV Workshops (2) 2016: 52-67
Coauthor Index

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last updated on 2025-03-12 23:32 CET by the dblp team
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