activity
20212026
most citedEgo-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

20 citations · 33 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions

Junho Kim, Xu Cao, Houze Yang +6

Understanding social interactions requires reasoning over subtle non-verbal cues, yet current multimodal large language models (MLLMs) often fail to identify who interacts with who…

cs.CV2025

Improving Personalized Search with Regularized Low-Rank Parameter Updates

Fiona Ryan, Josef Sivic, Fabian Caba Heilbron +3

Personalized vision-language retrieval seeks to recognize new concepts (e.g. "my dog Fido") from only a few examples. This task is challenging because it requires not only learning…

cs.CV2025

SocialGesture: Delving into Multi-person Gesture Understanding

Xu Cao, Pranav Virupaksha, Wenqi Jia +4

Previous research in human gesture recognition has largely overlooked multi-person interactions, which are crucial for understanding the social context of naturally occurring gestu…

cs.CV2024★ 3 cited

Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders

Fiona Ryan, Ajay Bati, Sangmin Lee +3

We address the problem of gaze target estimation, which aims to predict where a person is looking in a scene. Predicting a person's gaze target requires reasoning both about the pe…

cs.HC2024★ 1 cited

Towards Social AI: A Survey on Understanding Social Interactions

Sangmin Lee, Minzhi Li, Bolin Lai +8

Social interactions form the foundation of human societies. Artificial intelligence has made significant progress in certain areas, but enabling machines to seamlessly understand s…

cs.CV2024

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

Sangmin Lee, Bolin Lai, Fiona Ryan +2

Understanding social interactions involving both verbal and non-verbal cues is essential for effectively interpreting social situations. However, most prior works on multimodal soc…

cs.CV2023★ 20 cited

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

Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric…

cs.CV2023

Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation

Bolin Lai, Fiona Ryan, Wenqi Jia +2

Egocentric gaze anticipation serves as a key building block for the emerging capability of Augmented Reality. Notably, gaze behavior is driven by both visual cues and audio signals…

cs.CV2023

Egocentric Auditory Attention Localization in Conversations

Fiona Ryan, Hao Jiang, Abhinav Shukla +2

In a noisy conversation environment such as a dinner party, people often exhibit selective auditory attention, or the ability to focus on a particular speaker while tuning out othe…

cs.LG2022★ 2 cited

Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games

Bolin Lai, Hongxin Zhang, Miao Liu +6

Persuasion modeling is a key building block for conversational agents. Existing works in this direction are limited to analyzing textual dialogue corpus. We argue that visual signa…

cs.CV2022

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation

Bolin Lai, Miao Liu, Fiona Ryan +1

In this paper, we present the first transformer-based model to address the challenging problem of egocentric gaze estimation. We observe that the connection between the global scen…

cs.CV2021★ 7 cited

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne +82

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…

eess.IV2021

Big Self-Supervised Models Advance Medical Image Classification

Shekoofeh Azizi, Basil Mustafa, Fiona Ryan +9

Self-supervised pretraining followed by supervised fine-tuning has seen success in image recognition, especially when labeled examples are scarce, but has received limited attentio…