End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos. - Shyamal Buch; Victor Escorcia; Bernard Ghanem; Li Fei-Fei 001; Juan Carlos Niebles (BMVC, 2017)

SST: Single-Stream Temporal Action Proposals. - Shyamal Buch; Victor Escorcia; Chuanqi Shen; Bernard Ghanem; Juan Carlos Niebles (CVPR, 2017)

ActivityNet Challenge 2017 Summary. - Bernard Ghanem; Juan Carlos Niebles; Cees Snoek; Fabian Caba Heilbron; Humam Alwassel; Ranjay Krishna; Victor Escorcia; Kenji Hata; Shyamal Buch (CoRR, 2017)

Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. - De-An Huang; Shyamal Buch; Lucio M. Dery; Animesh Garg; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2018)

End-to-End Joint Semantic Segmentation of Actors and Actions in Video. - Jingwei Ji; Shyamal Buch; Alvaro Soto; Juan Carlos Niebles (ECCV (4), 2018)

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary. - Bernard Ghanem; Juan Carlos Niebles; Cees Snoek; Fabian Caba Heilbron; Humam Alwassel; Victor Escorcia; Ranjay Krishna; Shyamal Buch; Cuong Duc Dao (CoRR, 2018)

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition. - Linxi Fan; Shyamal Buch; Guanzhi Wang; Ryan Cao; Yuke Zhu; Juan Carlos Niebles; Li Fei-Fei 001 (ECCV (19), 2020)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. - Sanjana Srivastava; Chengshu Li 002; Michael Lingelbach; Roberto Martín-Martín; Fei Xia 002; Kent Elliott Vainio; Zheng Lian; Cem Gokmen; Shyamal Buch; C. Karen Liu; Silvio Savarese; Hyowon Gweon; et al. (CoRL, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IROS, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Neural Event Semantics for Grounded Language Understanding. - Shyamal Buch; Li Fei-Fei 001; Noah D. Goodman (Trans. Assoc. Comput. Linguistics, 2021)

Revisiting the "Video" in Video-Language Understanding. - Shyamal Buch; Cristóbal Eyzaguirre; Adrien Gaidon; Jiajun Wu 001; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2022)

MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. - Juhong Min; Shyamal Buch; Arsha Nagrani; Minsu Cho; Cordelia Schmid (CVPR, 2024)

Streaming Dense Video Captioning. - Xingyi Zhou; Anurag Arnab; Shyamal Buch; Shen Yan; Austin Myers; Xuehan Xiong; Arsha Nagrani; Cordelia Schmid (CVPR, 2024)

Streaming Detection of Queried Event Start. - Cristóbal Eyzaguirre; Eric Tang; Shyamal Buch; Adrien Gaidon; Jiajun Wu 001; Juan Carlos Niebles (NeurIPS, 2024)

Mixture of Nested Experts: Adaptive Processing of Visual Tokens. - Gagan Jain; Nidhi Hegde 003; Aditya Kusupati; Arsha Nagrani; Shyamal Buch; Prateek Jain 002; Anurag Arnab; Sujoy Paul (NeurIPS, 2024)

Flexible Frame Selection for Efficient Video Reasoning. - Shyamal Buch; Arsha Nagrani; Anurag Arnab; Cordelia Schmid (CVPR, 2025)

MINERVA: Evaluating Complex Video Reasoning. - Arsha Nagrani; Sachit Menon; Ahmet Iscen; Shyamal Buch; Ramin Mehran; Nilpa Jha; Anja Hauth; Yukun Zhu; Carl Vondrick; Mikhail Sirotenko; Cordelia Schmid; Tobias Weyand (CoRR, 2025)

OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models. - Monika Wysoczanska; Shyamal Buch; Anurag Arnab; Cordelia Schmid (CoRR, 2025)