Uddeshya Upadhyay

Motto - to build cool stuff

prof_pic.jpg
Tübingen ⇄ Mumbai

uddeshya.upa@gmail.com

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I am a Ph.D. candidate at IMPRS-IS Program, Tübingen, where I am part of EML and MIDAS group, and I work closely with Prof. Zeynep Akata and Prof. Sergios Gatidis. I am fascinated by interdisciplinary R&D happening at the intersection of Computer Vision, Machine Learning, Biomedical and Healthcare Informatics. These days I am exploring Bayesian Deep Learning, Uncertainty Estimation, Generative models, Explainable AI (XAI).

I was an undergrad at Computer Science and Engineering@IIT-Bombay.

Here’s a video of Prof. R. Feynman talking about Mathematicians and Physicists. I believe a similar link exists between Researchers and Engineers.

(Best viewed on large-screen devices)

Updates

Jul 17, 2022 Our work titled “BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks” is accepted at European Conference on Computer Vision (ECCV) 2022! :sparkles:
Link to paper / Link to code
Sep 28, 2021 Our work titled “Robustness via Uncertainty-aware Cycle Consistency” is accepted at Neural Information Processing Systems (NeurIPS) 2021! :sparkles:
Link to paper / Link to code
Sep 2, 2021 Our work titled “Uncertainty-aware GAN with Adaptive Loss for Robust MRI Enhancement” is accepted at IEEE ICCV Workshop on CV for Automated Medical Diagnosis for oral presentation! :sparkles:
Link to paper
Jul 21, 2021 Our work “Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data” is accepted at Medical Image Analysis (MedIA) journal! :sparkles:
Link to paper
Jun 15, 2021 Our work on Uncertainty-guided Progressive GANs is accepted at MICCAI-21! :sparkles:
Link to paper / Link to code

Selected Publications

  1. BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
    Uddeshya U.*, Shyamgopal K.*, Yanbei C., Massimiliano M., Zeynep A.
    European Conference on Computer Vision (ECCV) 2022
  2. Robustness via Uncertainty-aware Cycle Consistency
    Uddeshya U., Yanbei C., Zeynep A.
    Advances in Neural Information Processing Systems (NeurIPS) 2021
  3. Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
    Uddeshya U., Viswanath P.S., Suyash P.A.
    ICCV workshop on CV for Automated Medical Diagnosis (ICCVw) 2021
  4. Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data (*joint first author)
    Viswanath P.S.*, Uddeshya U.*, Gary F.E., Zhaolin C., Suyash P.A.
    Medical Image Analysis (MedIA) 2021
  5. Uncertainty-Guided Progressive GANs for Medical Image Translation
    Uddeshya U., Yanbei C., Tobias H., Sergios G., Zeynep A.
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021
  6. QUEST for MEDISYN: Quasi-norm based Uncertainty ESTimation for MEDical Image SYNthesis
    Uddeshya U., Viswanath P.S., Suyash P.A.
    ICML Workshop on Uncertainty & Robustness in Deep Learning (ICMLw) 2020
  7. A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
    Uddeshya U., Suyash P.A.
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019