activity
20222026
most citedEgo-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

20 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos

Arjun Somayazulu, Kristen Grauman

Visual feedback is critical for motor skill acquisition in sports and rehabilitation, and psychological studies show that observing near-perfect versions of one's own performance a…

cs.CV2025

ViewBridge: Curriculum Knowledge Distillation for Activity View-Invariance Under Extreme Viewpoint Changes

Arjun Somayazulu, Efi Mavroudi, Changan Chen +2

Traditional methods for view-invariant learning rely on controlled multi-view training data with minimal scene clutter. However, they struggle with in-the-wild videos that exhibit…

cs.CV2024

ActiveRIR: Active Audio-Visual Exploration for Acoustic Environment Modeling

Arjun Somayazulu, Sagnik Majumder, Changan Chen +1

An environment acoustic model represents how sound is transformed by the physical characteristics of an indoor environment, for any given source/receiver location. Traditional meth…

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.MM2023★ 2 cited

Self-Supervised Visual Acoustic Matching

Arjun Somayazulu, Changan Chen, Kristen Grauman

Acoustic matching aims to re-synthesize an audio clip to sound as if it were recorded in a target acoustic environment. Existing methods assume access to paired training data, wher…

eess.AS2022★ 3 cited

A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition

Ravi Shankar, Abdouh Harouna Kenfack, Arjun Somayazulu +1

Automated emotion recognition in speech is a long-standing problem. While early work on emotion recognition relied on hand-crafted features and simple classifiers, the field has no…