I’m working on segmentation, contrastive learning, and computer vision problems in general.
I completed my Masters in Robotics at The Robotics Institute, Carnegie Mellon University where I was advised by Prof. Katia Sycara. I also worked with Prof. Kayhan Batmanghelich on segmentation for medical images.
I completed my bachelors in Computer Science and Engineering from Indian Institute of Technology, Bombay in 2019. My undergraduate thesis is based on Perfect Sampling and Uncertainty Estimation in Deep Networks where I was advised by Prof. Suyash P. Awate.
|Jun 2021||I have received the MICCAI 2021 Student Travel Award for our paper.|
|May 2021||Our paper on Self Supervised vessel segmentation has been accepted at MICCAI 2021 (Early accept).|
|Apr 2021||I’m serving as a reviewer for NeurIPS 2021.|
|Mar 2021||I am an incoming PhD student at UPenn CIS. My research will be supported by the UPenn CIS department fellowship.|
|Jan 2021||Our work on self-supervised learning for vessel segmentation is now on Arxiv.|
|Jan 2021||I’m serving as a reviewer for ICML and MICCAI 2021.|
|Nov 2020||Our work on predicting human strategies in SnR tasks has been accepted at AI+HADR Workshop, NeurIPS 2020.|
|Oct 2020||Our work on self-supervised inpainting has been accepted at ICPR 2020.|
|Oct 2020||Our work on augmenting GAIL with behavior cloning was accepted at CoRL 2020.|
|Jun 2020||Received the “Best Paper Award” in VL3 workshop in CVPR2020.|
- MICCAISelf-Supervised Vessel Enhancement Using Flow-Based ConsistenciesInternational Conference on Medical Image Computing and Computer Assisted Intervention 2021MICCAI Student Travel Award
Early accept, acceptance rate ~ 13%
- IPMIA bayesian neural net to segment images with uncertainty estimates and good calibrationIn International Conference on Information Processing in Medical Imaging 2019Oral talk, opening talk of conference, acceptance rate ~ 11%