I am a second-year PhD student at Columbia University advised by Carl Vondrick. My research aims to create machines that understand and generate human behavior in a dynamic world. 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

  • Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
    Paper
    arXiv 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)
  • SOrT-ing VQA Models: Contrastive Gradient Learning for Improved Consistency Sameer Dharur, Purva Tendulkar, Dhruv Batra, Devi Parikh, Ramprasaath R. Selvaraju
    Paper Talk Code Poster
    NAACL 2021
    NeurIPS 2020 Workshop on Interpretable Inductive Biases and Physically Structured Learning
  • 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)
  • SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Tulio Ribeiro, Besmira Nushi, Ece Kamar
    Paper Talk Dataset
    CVPR 2020 (Oral)
  • Trick or TReAT: Thematic Reinforcement for Artistic Typography Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh
    Paper Talk Code Demo
    ICCC 2019 (Oral; Best Presentation Award)

Teaching & Mentorship

Courses
Representation Learning (COMS 6998 - Fall '21, '22)
Teaching Assistant
Columbia University
Mentorship
Women in Science (Fall '21, Spring '22)
Columbia University
BEARS Mentorship (Spring '22)
Barnard College
Amazon-SURE Mentorship (Summer '22)
Amazon & Colubmia University