Nilesh Kulkarni

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Masters in Robotics (MSR),
Robotics Institute,
Carnegie Mellon University
Phone: +1 412 583 0992
E-mail: nileshk [@] cs [DOT] cmu [DOT] edu

About me

I am a Masters student at the Robotics Institute in CMU (2017-). Previously, I completed my undergraduate education from IIT Bombay in Computer Science.

I am currently advised by Abhinav Gupta on problems in 3D understanding. At Indian Institute of Technology, Bombay I was advised by Suyash Awate and Ganesh Ramakrishnan. Later, I spent two wonderful years at Samsung Research, South Korea with the Artificial Intelligence Lab headed by Dr. Jihie Kim. I have been fortunate to work and be guided by excellent mentors and advisors.

Research

My research interests include

  • Computer Vision

  • 3D Understanding

  • Representation Learning

  • Machine Learning

Recent Publications

  1. Nilesh Kulkarni, Shubham Tulsiani, and Abhinav Gupta, "Canonical Surface Mapping via Geometric Cycle Consistency" [paper], ICCV-2019

  2. Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, and Abhinav Gupta, "3D-RelNet: Joint Object and Relational Network for 3D Prediction", [paper], ICCV-2019

  3. Seunghak Yu*, Nilesh Kulkarni*, Haejun Lee, and Jihie Kim, "On-Device Neural Language Model based Word Prediction", In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pp. 128-131. 2018.[paper]

  4. Yu, Seunghak, Nilesh Kulkarni*, Haejun Lee, and Jihie Kim " Syllable-level Neural Language Model for Agglutinative Language", In Proceedings of the First Workshop on Subword and Character Level Models in NLP, pp. 92-96. 2017. [paper]

  5. Awate, Suyash P.*, Manik Dhar*, and Nilesh Kulkarni*. " Robust kernel principal nested spheres", In Pattern Recognition (ICPR), 2016 23rd International Conference on, pp. 402-407. IEEE, 2016. [paper]

* - shared authorship


CV, github