Uddeshya Upadhyay

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 30

Top Topics

Adaptive Regularization

Image Enhancement

Energy Minimization Framework

Top Venues

Publications

Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco Lopez-Jimenez, Samuel J. Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve
HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms. Trans. Mach. Learn. Res. 2023 (2023)
Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
The Manifold Hypothesis for Gradient-Based Explanations. CVPR Workshops (2023)
Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco Lopez-Jimenez, Samuel J. Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms. CoRR (2023)
Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. CoRR (2023)
Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. ICCV (2023)
Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. UAI (2023)
Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. CoRR (2023)
Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata
Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR (2023)
Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain
Towards Automating Retinoscopy for Refractive Error Diagnosis. CoRR (2022)
Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
The Manifold Hypothesis for Gradient-Based Explanations. CoRR (2022)
Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain
Towards Automating Retinoscopy for Refractive Error Diagnosis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (3) (2022)
Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. CoRR (2022)
Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. ECCV (12) (2022)
Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
Robustness via Uncertainty-aware Cycle Consistency. NeurIPS (2021)
Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
Uncertainty-Guided Progressive GANs for Medical Image Translation. MICCAI (3) (2021)
Uddeshya Upadhyay, Suyash P. Awate
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. CoRR (2021)
Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. CoRR (2021)
Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
Robustness via Uncertainty-aware Cycle Consistency. CoRR (2021)
Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. Medical Image Anal. 73 (2021)
Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. ICCVW (2021)
Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
Uncertainty-aware Generalized Adaptive CycleGAN. CoRR (2021)
Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. CoRR (2021)
Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
Uncertainty-Guided Progressive GANs for Medical Image Translation. CoRR (2021)
Uddeshya Upadhyay, Biplab Banerjee
Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification. ISBI (2020)
Uddeshya Upadhyay, Suyash P. Awate
Robust Super-Resolution GAN, with Manifold-based and Perception Loss. CoRR (2019)
Uddeshya Upadhyay, Suyash P. Awate
Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. ISBI (2019)
Uddeshya Upadhyay, Suyash P. Awate
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. MICCAI (5) (2019)
Uddeshya Upadhyay, Badrinath Singhal, Meenakshi Singh
Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks. IJCNN (2019)
Uddeshya Upadhyay, Arjun Jain
Removal of Batch Effects using Generative Adversarial Networks. CoRR (2019)
Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe
Transformer Based Reinforcement Learning For Games. CoRR (2019)