Arjun Somayazulu

I'm a second-year Ph.D. student at UT Austin advised by Prof. Kristen Grauman. I'm broadly interested in computer vision and multi-modal perception, and my current line of research is in learning from video and audio.

Previously, I received B.S degrees in Computer Science and Biomedical Engineering from Johns Hopkins, where I was advised by Prof. Archana Venkataraman.

CV  /  Email  /  GitHub

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News
May 2024 Our IROS 2024 paper, ActiveRIR, is featured on TechXplore
May 2024 Joining FAIR NY for the summer!

Papers
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ActiveRIR: Active Audio-Visual Exploration for Acoustic Environment Modeling
Arjun Somayazulu, Sagnik Majumder, Changan Chen, Kristen Grauman,
IROS 2024
project | paper
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Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris M. Kitani, Jitendra Malik, ... Arjun Somayazulu, ... Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James Matthew Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray.
CVPR 2024 (Oral)
website | paper | video
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Self-Supervised Visual Acoustic Matching
Arjun Somayazulu, Changan Chen, Kristen Grauman,
NeurIPS 2023
project | paper
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A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition
Ravi Shankar, Abdouh Harouna, Arjun Somayazulu, Archana Venkataraman,
ArXiv 2023
paper

Teaching/Service
Spring 2021 - Course Assistant, EN.601.226 Data Structures
Fall 2021 - Course Assistant, EN.601.475/675 Machine Learning
Reviewer for CVPR 2024, IROS 2024