Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks. - Uddeshya Upadhyay; Badrinath Singhal; Meenakshi Singh (IJCNN, 2019)

Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. - Uddeshya Upadhyay; Suyash P. Awate (ISBI, 2019)

A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. - Uddeshya Upadhyay; Suyash P. Awate (MICCAI (5), 2019)

Removal of Batch Effects using Generative Adversarial Networks. - Uddeshya Upadhyay; Arjun Jain (CoRR, 2019)

Transformer Based Reinforcement Learning For Games. - Uddeshya Upadhyay; Nikunj Shah; Sucheta Ravikanti; Mayanka Medhe (CoRR, 2019)

Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification. - Uddeshya Upadhyay; Biplab Banerjee (ISBI, 2020)

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. - Uddeshya Upadhyay; Viswanath P. Sudarshan; Suyash P. Awate (ICCVW, 2021)

Uncertainty-Guided Progressive GANs for Medical Image Translation. - Uddeshya Upadhyay; Yanbei Chen; Tobias Hepp 002; Sergios Gatidis; Zeynep Akata (MICCAI (3), 2021)

Robustness via Uncertainty-aware Cycle Consistency. - Uddeshya Upadhyay; Yanbei Chen; Zeynep Akata (NeurIPS, 2021)

Uncertainty-aware Generalized Adaptive CycleGAN. - Uddeshya Upadhyay; Yanbei Chen; Zeynep Akata (CoRR, 2021)

Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. - Viswanath P. Sudarshan; Uddeshya Upadhyay; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (Medical Image Anal., 2021)

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. - Uddeshya Upadhyay; Shyamgopal Karthik; Yanbei Chen; Massimiliano Mancini; Zeynep Akata (ECCV (12), 2022)

Towards Automating Retinoscopy for Refractive Error Diagnosis. - Aditya Aggarwal; Siddhartha Gairola; Uddeshya Upadhyay; Akshay P. Vasishta; Diwakar Rao; Aditya Goyal; Kaushik Murali; Nipun Kwatra; Mohit Jain (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

The Manifold Hypothesis for Gradient-Based Explanations. - Sebastian Bordt; Uddeshya Upadhyay; Zeynep Akata; Ulrike von Luxburg (CVPR Workshops, 2023)

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. - Uddeshya Upadhyay; Shyamgopal Karthik; Massimiliano Mancini; Zeynep Akata (ICCV, 2023)

USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. - Vikrant Rangnekar; Uddeshya Upadhyay; Zeynep Akata; Biplab Banerjee (UAI, 2023)

Posterior Annealing: Fast Calibrated Uncertainty for Regression. - Uddeshya Upadhyay; Jae-Myung Kim; Cordelia Schmid; Bernhard Schölkopf; Zeynep Akata (CoRR, 2023)

HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms. - Uddeshya Upadhyay; Sairam Bade; Arjun Puranik; Shahir Asfahan; Melwin Babu; Francisco Lopez-Jimenez; Samuel J. Asirvatham; Ashim Prasad; Ajit Rajasekharan; Samir Awasthi; Rakesh Barve (Trans. Mach. Learn. Res., 2023)

Unveiling the Ace in the Hole: Leveraging Uncertainty Quantification for Computer Vision Systems. - Uddeshya Upadhyay (2023)

Looking Beyond Language Priors: Enhancing Visual Comprehension and Attention in Multimodal Models. - Aarti Ghatkesar; Uddeshya Upadhyay; Ganesh Venkatesh (CoRR, 2025)