Yutong Ban

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Venues

CoRR

ICRA

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Robotics Autom. Lett.

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

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)
Yunpeng Jiang, Paul Weng, Yutong Ban
Enhancing Class Fairness in Classification with A Two-Player Game Approach. CoRR (2024)
Han Fang, Zhihao Song, Paul Weng, Yutong Ban
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. CoRR (2024)
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 (2024)
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) (2024)
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)
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) (2023)
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 (2023)
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)
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 (2023)
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) (2022)
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)
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 (2022)
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) (2022)
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. CoRR (2021)
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) (2021)
Yutong Ban, Guy Rosman, Thomas 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)
Yutong Ban, Guy Rosman, Thomas Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
SUrgical PRediction GAN for Events Anticipation. CoRR (2021)
Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda
ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking. ICPR Workshops (6) (2020)
Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda
How to Train Your Deep Multi-Object Tracker. CVPR (2020)
Yutong Ban, Guy Rosman, Thomas Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
Aggregating Long-Term Context for Learning Surgical Workflows. CoRR (2020)
Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. CoRR (2019)
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)
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) (2019)
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) (2019)
Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud
Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM. CoRR (2018)
Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. CoRR (2018)
Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. CoRR (2018)
Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking. ICASSP (2018)
Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud
A cascaded multiple-speaker localization and tracking system. CoRR (2018)
Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues. CoRR (2018)
Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud
Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking. ICCV Workshops (2017)
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)
Yutong Ban, Sileye O. Ba, Xavier Alameda-Pineda, Radu Horaud
Tracking Multiple Persons Based on a Variational Bayesian Model. ECCV Workshops (2) (2016)

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Publication Activity (10 Years)

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Yutong Ban