Rohit Jena

I’m a second year Masters student at The Robotics Institute, Carnegie Mellon University advised by Prof. Katia Sycara.

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.

News

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.
Jun 2020 Our work on augmentating GAIL with BC is an “Invited Paper” in the RSS 2020 workshop on Advances & Challenges in Imitation Learning for Robotics.

Selected Publications

  1. CoRL
    Augmenting GAIL with BC for sample efficient imitation learning
    Jena, R., Liu, C., and Sycara, K.
    Conference on Robot Learning 2020
  2. IPMI
    A bayesian neural net to segment images with uncertainty estimates and good calibration
    Jena, R., and Awate, S.
    In International Conference on Information Processing in Medical Imaging 2019


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