Yutong Ban

According to our database, Yutong Ban authored at least 33 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

State-novelty guided action persistence in deep reinforcement learning.

Jianshu Hu, Paul Weng, Yutong Ban

Mach. Learn., January, 2025

ASAP: Learning Generalizable Online Bin Packing via Adaptive Selection After Pruning.

Han Fang, Paul Weng, Yutong Ban

CoRR, January, 2025

Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation.

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

CoRR, January, 2025

2024

Concept Graph Neural Networks for Surgical Video Understanding.

Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman

IEEE Trans. Medical Imaging, January, 2024

Surgical Scene Segmentation by Transformer With Asymmetric Feature Enhancement.

Cheng Yuan, Yutong Ban

CoRR, 2024

Enhancing Class Fairness in Classification with A Two-Player Game Approach.

Yunpeng Jiang, Paul Weng, Yutong Ban

CoRR, 2024

Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery.

Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman

CoRR, 2024

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer.

Han Fang, Zhihao Song, Paul Weng, Yutong Ban

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

TransCenter: Transformers With Dense Representations for Multiple-Object Tracking.

Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Infrastructure-based End-to-End Learning and Prevention of Driver Failure.

Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the Forward Invariance of Neural ODEs.

Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus

Proceedings of the International Conference on Machine Learning, 2023

2022

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery.

Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus

IEEE Robotics Autom. Lett., 2022

Enhancing direct-path relative transfer function using deep neural network for robust sound source localization.

Bing Yang, Runwei Ding, Yutong Ban, Xiaofei Li, Hong Liu

CAAI Trans. Intell. Technol., 2022

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction.

Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers.

Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

IEEE Trans. Pattern Anal. Mach. Intell., 2021

SUrgical PRediction GAN for Events Anticipation.

Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus

CoRR, 2021

TransCenter: Transformers with Dense Queries for Multiple-Object Tracking.

Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

CoRR, 2021

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows.

Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Aggregating Long-Term Context for Learning Surgical Workflows.

Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus

CoRR, 2020

ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking.

Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

How to Train Your Deep Multi-Object Tracker.

Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Audio-Visual Multiple-Speaker Tracking for Robot Perception. (Suivi multi-locuteurs avec des informations audio-visuelles pour la perception des robots).

Yutong Ban

PhD thesis, 2019

Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM.

Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud

IEEE Signal Process. Lett., 2019

Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments.

Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud

IEEE J. Sel. Top. Signal Process., 2019

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud

CoRR, 2019

Audio-Visual Variational Fusion for Multi-Person Tracking with Robots.

Xavier Alameda-Pineda, Soraya Arias, Yutong Ban, Guillaume Delorme, Laurent Girin, Radu Horaud, Xiaofei Li, Bastien Mourgue, Guillaume Sarrazin

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

A cascaded multiple-speaker localization and tracking system.

Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud

CoRR, 2018

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues.

Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler

CoRR, 2018

Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking.

Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Tracking a varying number of people with a visually-controlled robotic head.

Yutong Ban, Xavier Alameda-Pineda, Fabien Badeig, Sileye O. Ba, Radu Horaud

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking.

Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Tracking Multiple Persons Based on a Variational Bayesian Model.

Yutong Ban, Sileye O. Ba, Xavier Alameda-Pineda, Radu Horaud

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016