
I am a second-year PhD student at Columbia University advised by Carl Vondrick. I am interested in representing, estimating and synthesizing 3D humans in the context of their 3D surroundings. In the past, I have worked on creative AI (see my Masters thesis) and making vision-language models consistent. My research is supported by the Columbia Presidential Fellowship. At Columbia, I co-organize the Vision, Interaction, Graphics & Robotics (VIGR) seminar.
I completed my Masters in Computer Science from Georgia Tech in 2020 where I was advised by Devi Parikh. During my Masters I also collaborated with Ani Kembhavi at Allen AI. In 2018, I obtained my Bachelor's Degree in Computer Science from College of Engineering Pune (COEP) in India.
I have been fortunate to intern at UC San Diego (2020) with Xiaolong Wang, AiBee (2019) with Chunhui Gu, and NTU Singapore (2017) with Arvind Easwaran. In my free time, I enjoy listening to and practicing Indian classical music and playing boardgames. I also enjoy hiking, photography and sketching!
Research
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FLEX: Full-Body Grasping Without Full-Body Grasps Purva Tendulkar, Dídac Surís, Carl Vondrick
Paper Project Page
CVPR 2023 -
Affective Faces for Goal-Driven Dyadic Communication Scott Geng*, Revant Teotia*, Purva Tendulkar, Sachit Menon, Carl Vondrick
Paper Project Page
Pre-print 2023 -
Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
Paper
Pre-print 2022 -
Revealing Occlusions with 4D Neural Fields Basile Van Hoorick, Purva Tendulkar, Dídac Surís, Dennis Park, Simon Stent, Carl Vondrick
Paper Project Page
CVPR 2022 (Oral) -
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Feel The Music: Automatically Generating A Dance For An Input Song Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh
Paper Talk Code Press Coverage Tech@Meta Article
ICCC 2020 (Oral) -
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Teaching & Mentorship
Courses
Teaching AssistantColumbia University
Mentorship
Columbia University
Barnard College
Amazon & Colubmia University