Shoubin Yu

According to our database, Shoubin Yu authored at least 27 papers between 2021 and 2026.

Collaborative distances:

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

2026

Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos.

Shoubin Yu, Lei Shu, Antoine Yang, Yao Fu, Srinivas Sunkara, Maria Wang, Jindong Chen, Mohit Bansal, Boqing Gong

CoRR, March, 2026

VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting.

Daeun Lee, Shoubin Yu, Yue Zhang, Mohit Bansal

CoRR, March, 2026

Balancing Faithfulness and Performance in Reasoning via Multi-Listener Soft Execution.

Nithin Sivakumaran, Shoubin Yu, Hyunji Lee, Yue Zhang, Ali Payani, Mohit Bansal, Elias Stengel-Eskin

CoRR, February, 2026

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning.

Shoubin Yu, Yue Zhang, Zun Wang, Jaehong Yoon, Huaxiu Yao, Mingyu Ding, Mohit Bansal

CoRR, February, 2026

A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms.

Joyce Horn Fonteles, Nithin Sivakumaran, Clayton Cohn, Austin Coursey, Shoubin Yu, Elias Stengel-Eskin, Ashwin T. S., Mohit Bansal, Gautam Biswas

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025

Prune-Then-Plan: Step-Level Calibration for Stable Frontier Exploration in Embodied Question Answering.

Noah Frahm, Prakrut Patel, Yue Zhang, Shoubin Yu, Mohit Bansal, Roni Sengupta

CoRR, November, 2025

SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models.

Andong Deng, Taojiannan Yang, Shoubin Yu, Lincoln Spencer, Mohit Bansal, Chen Chen, Serena Yeung-Levy, Xiaohan Wang

CoRR, October, 2025

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time.

Ziqiao Ma, Xuweiyi Chen, Shoubin Yu, Sai Bi, Kai Zhang, Ziwen Chen, Sihan Xu, Jianing Yang, Zexiang Xu, Kalyan Sunkavalli, Mohit Bansal, Joyce Chai, Hao Tan

CoRR, June, 2025

Movie Facts and Fibs (MF²): A Benchmark for Long Movie Understanding.

Emmanouil Zaranis, António Farinhas, Saul José Rodrigues dos Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K. Surikuchi, André Viveiros, Baohao Liao, Elena Belén Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins

CoRR, June, 2025

Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization.

Jialu Li, Shoubin Yu, Han Lin, Jaemin Cho, Jaehong Yoon, Mohit Bansal

CoRR, April, 2025

A Multimodal Classroom Video Question-Answering Framework for Automated Understanding of Collaborative Learning.

Nithin Sivakumaran, Chia-Yu Yang, Abhay Zala, Shoubin Yu, Daeun Hong, Xiaotian Zou, Elias Stengel-Eskin, Dan Carpenter, Wookhee Min, Cindy E. Hmelo-Silver, Jonathan P. Rowe, James C. Lester, Mohit Bansal

Proceedings of the 27th International Conference on Multimodal Interaction, 2025

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion.

Shoubin Yu, Jaehong Yoon, Mohit Bansal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.

Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel.

Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VEGGIE: Instructional Editing and Reasoning Video Concepts with Grounded Generation.

Shoubin Yu, Difan Liu, Ziqiao Ma, Yicong Hong, Yang Zhou, Hao Tan, Joyce Chai, Mohit Bansal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation.

Shoubin Yu, Yue Zhang, Ziyang Wang, Jaehong Yoon, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives.

Jaehong Yoon, Shoubin Yu, Mohit Bansal

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning.

Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.

Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level.

Andong Deng, Tongjia Chen, Shoubin Yu, Taojiannan Yang, Lincoln Spencer, Yapeng Tian, Ajmal Saeed Mian, Mohit Bansal, Chen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection.

Shoubin Yu, Zhongyin Zhao, Haoshu Fang, Andong Deng, Haisheng Su, Dongliang Wang, Weihao Gan, Cewu Lu, Wei Wu

IEEE Trans. Circuits Syst. Video Technol., August, 2024

RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives.

Jaehong Yoon, Shoubin Yu, Mohit Bansal

CoRR, 2024

CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion.

Shoubin Yu, Jaehong Yoon, Mohit Bansal

CoRR, 2024

Zero-Shot Controllable Image-to-Video Animation via Motion Decomposition.

Shoubin Yu, Jacob Zhiyuan Fang, Jian Zheng, Gunnar A. Sigurdsson, Vicente Ordonez, Robinson Piramuthu, Mohit Bansal

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Simple LLM Framework for Long-Range Video Question-Answering.

Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Self-Chained Image-Language Model for Video Localization and Question Answering.

Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

STAR: A Benchmark for Situated Reasoning in Real-World Videos.

Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021