Tanmay Agarwal

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I am a second-year Masters Student at Stanford University advised by Prof. Fei-Fei Li and Prof. Jiajun Wu. At Stanford, I closely work with Dr. Ruohan Gao and Dr. Ruohan Zhang on multisensory robotics, developing embodied AI applications using vision, audio and touch.

Previously, I was a Computer Vision Engineer at Sentera where I worked on anomaly detection in plants, and an undergraduate research assistant at Interactive Robotics and Vision Lab, advised by Prof. Junaed Sattar, where I conducted research in underwater robotics. In a previous life, I also hunted for dark matter in the Super Cryogenic Dark Matter Search (SCDMS) lab advised by Dr. Priscilla Cushman.

Outside of research, I previously co-authored the bi-weekly newsletter for Gradient, a community-led publication focused on reporting the latest in AI. I also spent 2 years on the Board of the National Association of Engineering Student Councils (NAESC), where I helped develop the DE&I strategy of the national student-run non-profit. I also love hiking, films, and standup comedy.

selected publications

  1. ICML
    Modeling Dynamic Environments with Scene Graph Memory
    Kurenkov, Andrey, Lingelbach, Michael, Agarwal, Tanmay, Jin, Emily, Li, Chengshu, Zhang, Ruohan, Fei-Fei, Li, Wu, Jiajun, Savarese, Silvio, and Martín-Martín, Roberto
    2023 International Conference on Machine Learning (ICML) 2023
    Abs
  2. CVPR
    The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects
    Gao, Ruohan, Dou, Yiming, Li, Hao, Agarwal, Tanmay, Bohg, Jeannette, Li, Yunzhu, Fei-Fei, Li, and Wu, Jiajun
    Conference on Computer Vision and Pattern Recognition (CVPR), 2023 2023
    Abs
  3. IROS
    Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration
    Agarwal, Tanmay, Fulton, Michael, and Sattar, Junaed
    2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
    Abs