STAR: A Benchmark for Situated Reasoning in Real-World Videos. - Bo Wu 018; Shoubin Yu; Zhenfang Chen; Josh Tenenbaum 001; Chuang Gan 001 (NeurIPS Datasets and Benchmarks, 2021)

Self-Chained Image-Language Model for Video Localization and Question Answering. - Shoubin Yu; Jaemin Cho 001; Prateek Yadav; Mohit Bansal (NeurIPS, 2023)

A Simple LLM Framework for Long-Range Video Question-Answering. - Ce Zhang 010; Taixi Lu; Md Mohaiminul Islam; Ziyang Wang; Shoubin Yu; Mohit Bansal; Gedas Bertasius (EMNLP, 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 (ACM Multimedia, 2024)

CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion. - Shoubin Yu; Jaehong Yoon; Mohit Bansal (CoRR, 2024)

RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives. - Jaehong Yoon; Shoubin Yu; Mohit Bansal (CoRR, 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 021 (IEEE Trans. Circuits Syst. Video Technol., 2024)

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 001 (CVPR, 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 (CVPR, 2025)

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. - Zun Wang; Jialu Li 001; Yicong Hong; Songze Li; Kunchang Li 002; Shoubin Yu; Yi Wang 074; Yu Qiao 001; Yali Wang 001; Mohit Bansal; Limin Wang 002 (ICLR, 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 (ICLR, 2025)

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion. - Shoubin Yu; Jaehong Yoon; Mohit Bansal (ICLR, 2025)

VEGGIE: Instructional Editing and Reasoning of Video Concepts with Grounded Generation. - Shoubin Yu; Difan Liu; Ziqiao Ma 001; Yicong Hong; Yang Zhou; Hao Tan 002; Joyce Chai; Mohit Bansal (CoRR, 2025)

Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization. - Jialu Li 001; Shoubin Yu; Han Lin; Jaemin Cho 001; Jaehong Yoon; Mohit Bansal (CoRR, 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; et al. (CoRR, 2025)

MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation. - Shoubin Yu; Yue Zhang; Ziyang Wang; Jaehong Yoon; Mohit Bansal (CoRR, 2025)

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time. - Ziqiao Ma 001; Xuweiyi Chen; Shoubin Yu; Sai Bi; Kai Zhang 045; Ziwen Chen; Sihan Xu; Jianing Yang; Zexiang Xu; Kalyan Sunkavalli; Mohit Bansal; Joyce Chai; et al. (CoRR, 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 (CoRR, 2025)