Rohit Jena

firstname [dot] rango [nospam at] gmail [dot] com

I’m a Ph.D. student in CIS at University of Pennsylvania advised by Prof. Pratik Chaudhari and Prof. James C. Gee.

I’m working on image registration, segmentation, 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.

News

Mar 2023 Our paper Beyond mAP: Towards better evaluation of instance segmentation is accepted as a highlight paper at CVPR 2023.
Oct 2022 I’m serving as a reviewer for ICLR 2023 and IJCV. I’m also recognized as an outstanding reviewer in ECCV 2022!
Mar 2022 I’m serving as a reviewer for ECCV 2022 and MICCAI 2022.
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.

Selected Publications

  1. CVPR
    Beyond mAP: Towards better evaluation of instance segmentation
    Jena, R., Zhornyak, L., Doiphode, N., Chaudhari, P., Buch, V., Gee, J., and Shi, J.
    Conference on Computer Vision and Pattern Recognition 2023
    Highlight paper
    Acceptance rate ∼2.5% of all papers, 10% of accepted papers
    Project page arXiv PDF Supp Code
  2. MICCAI
    Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
    Jena, R., Singla, S., and Batmanghelich, K.
    Medical Image Computing and Computer Assisted Intervention 2021
    MICCAI Student Travel Award
    Early accept, acceptance rate ~ 13%
    arXiv Reviews
  3. 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
    Oral talk, opening talk of conference, acceptance rate ~ 11%
    PDF


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