Tracking Multiple Persons Based on a Variational Bayesian Model. - Yutong Ban; Sileye O. Ba; Xavier Alameda-Pineda; Radu Horaud (ECCV Workshops (2), 2016)

Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking. - Yutong Ban; Laurent Girin; Xavier Alameda-Pineda; Radu Horaud (ICCV Workshops, 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 (IROS, 2017)

Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking. - Yutong Ban; Xiaofei Li 001; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud (ICASSP, 2018)

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues. - Songyou Peng; Le Zhang 001; Yutong Ban; Meng Fang; Stefan Winkler 001 (CoRR, 2018)

A cascaded multiple-speaker localization and tracking system. - Xiaofei Li 001; Yutong Ban; Laurent Girin; Xavier Alameda-Pineda; Radu Horaud (CoRR, 2018)

Audio-Visual Variational Fusion for Multi-Person Tracking with Robots. - Xavier Alameda-Pineda; Soraya Arias; Yutong Ban; Guillaume Delorme 002; Laurent Girin; Radu Horaud; Xiaofei Li 001; Bastien Mourgue; Guillaume Sarrazin (ACM Multimedia, 2019)

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. - Yihong Xu; Yutong Ban; Xavier Alameda-Pineda; Radu Horaud (CoRR, 2019)

Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. - Xiaofei Li 001; Yutong Ban; Laurent Girin; Xavier Alameda-Pineda; Radu Horaud (IEEE J. Sel. Top. Signal Process., 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)

Audio-Visual Multiple-Speaker Tracking for Robot Perception. (Suivi multi-locuteurs avec des informations audio-visuelles pour la perception des robots). - Yutong Ban (2019)

How to Train Your Deep Multi-Object Tracker. - Yihong Xu; Aljosa Osep; Yutong Ban; Radu Horaud; Laura Leal-Taixé; Xavier Alameda-Pineda (CVPR, 2020)

ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking. - Guillaume Delorme 002; Yutong Ban; Guillaume Sarrazin; Xavier Alameda-Pineda (ICPR Workshops (6), 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)

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 (ICRA, 2021)

TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. - Yihong Xu; Yutong Ban; Guillaume Delorme 002; Chuang Gan 001; Daniela Rus; Xavier Alameda-Pineda (CoRR, 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)

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)

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. - Yutong Ban; Xiao Li 025; Guy Rosman; Igor Gilitschenski; Ozanan R. Meireles; Sertac Karaman; Daniela Rus (ICRA, 2022)

Enhancing direct-path relative transfer function using deep neural network for robust sound source localization. - Bing Yang 004; Runwei Ding; Yutong Ban; Xiaofei Li 001; Hong Liu 008 (CAAI Trans. Intell. Technol., 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)

On the Forward Invariance of Neural ODEs. - Wei Xiao 003; Tsun-Hsuan Wang; Ramin M. Hasani; Mathias Lechner; Yutong Ban; Chuang Gan 001; Daniela Rus (ICML, 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 (ICRA, 2023)

TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. - Yihong Xu; Yutong Ban; Guillaume Delorme 002; Chuang Gan 001; Daniela Rus; Xavier Alameda-Pineda (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. - Han Fang; Zhihao Song; Paul Weng; Yutong Ban (ICML, 2024)

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. - Tsun-Hsuan Wang; Alaa Maalouf; Wei Xiao 003; Yutong Ban; Alexander Amini; Guy Rosman; Sertac Karaman; Daniela Rus (ICRA, 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)

Enhancing Class Fairness in Classification with A Two-Player Game Approach. - Yunpeng Jiang; Paul Weng; Yutong Ban (CoRR, 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, 2024)

Surgical Scene Segmentation by Transformer with Asymmetric Feature Enhancement. - Cheng Yuan 002; Yutong Ban (ISBI, 2025)

Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach. - Yunpeng Jiang; Yutong Ban; Paul Weng (Trans. Mach. Learn. Res., 2025)

Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation. - Cheng Yuan 002; Jian Jiang; Kunyi Yang; Lv Wu; Rui Wang; Zi Meng; Haonan Ping; Ziyu Xu; Yifan Zhou; Wanli Song; Hesheng Wang 001; Qi Dou 001; et al. (CoRR, 2025)

ASAP: Learning Generalizable Online Bin Packing via Adaptive Selection After Pruning. - Han Fang; Paul Weng; Yutong Ban (CoRR, 2025)

State-novelty guided action persistence in deep reinforcement learning. - Jianshu Hu; Paul Weng; Yutong Ban (Mach. Learn., 2025)

Diffusion Stabilizer Policy for Automated Surgical Robot Manipulations. - Chonlam Ho; Jianshu Hu; Hesheng Wang 001; Qi Dou 001; Yutong Ban (CoRR, 2025)

Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries. - Zeqing Wang; Han Fang; Yihong Xu; Yutong Ban (CoRR, 2025)

Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation. - Cheng Yuan 002; Yutong Ban (CoRR, 2025)

Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning. - Yunpeng Jiang; Jianshu Hu; Paul Weng; Yutong Ban (CoRR, 2025)

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence. - Zhitao Zeng; Zhu Zhuo; Xiaojun Jia; Erli Zhang 001; Junde Wu; Jiaan Zhang; Yuxuan Wang; Chang Han Low; Jian Jiang; Zilong Zheng; Xiaochun Cao; Yutong Ban; et al. (CoRR, 2025)

GenHOI: Generalizing Text-driven 4D Human-Object Interaction Synthesis for Unseen Objects. - Shujia Li; Haiyu Zhang; Xinyuan Chen; Yaohui Wang 001; Yutong Ban (CoRR, 2025)

Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models. - Haoyang Wu; Tsun-Hsuan Wang; Mathias Lechner; Ramin M. Hasani; Jennifer A. Eckhoff; Paul Pak; Ozanan R. Meireles; Guy Rosman; Yutong Ban; Daniela Rus (CoRR, 2025)