Bikram Boote — accepted AI-conference papers

2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras +94

CVPR 2024poster

We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric video of skilled human activities (e.g. sports music dance bike repair). 740 participants from 13 cities worldwide perform…

Cited by 197 Source ↗PDF ↗code ↗Scholar ↗

2024

Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations

Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg

CVPR 2024poster

Understanding social interactions involving both verbal and non-verbal cues is essential for effectively interpreting social situations. However most prior works on multimodal social cues focus predominantly on single-person behaviors or rely on holistic visual representations that are not aligned t…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2023

Low-shot Object Learning with Mutual Exclusivity Bias

Ngoc Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James Matthew Rehg

NeurIPS 2023poster

This paper introduces Low-shot Object Learning with Mutual Exclusivity Bias (LSME), the first computational framing of mutual exclusivity bias, a phenomenon commonly observed in infants during word learning. We provide a novel dataset, comprehensive baselines, and a SOTA method to enable the ML comm…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗