Uddeshya Upadhyay

According to our database, Uddeshya Upadhyay authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unveiling the Ace in the Hole: Leveraging Uncertainty Quantification for Computer Vision Systems.

Uddeshya Upadhyay

PhD thesis, 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

CoRR, 2023

Posterior Annealing: Fast Calibrated Uncertainty for Regression.

Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata

CoRR, 2023

USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution.

Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee

Proceedings of the Uncertainty in Artificial Intelligence, 2023

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models.

Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Manifold Hypothesis for Gradient-Based Explanations.

Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.

Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Uncertainty-aware Generalized Adaptive CycleGAN.

Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata

CoRR, 2021

Robustness via Uncertainty-aware Cycle Consistency.

Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty-Guided Progressive GANs for Medical Image Translation.

Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement.

Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification.

Uddeshya Upadhyay, Biplab Banerjee

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Transformer Based Reinforcement Learning For Games.

Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe

CoRR, 2019

Removal of Batch Effects using Generative Adversarial Networks.

Uddeshya Upadhyay, Arjun Jain

CoRR, 2019

A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement.

Uddeshya Upadhyay, Suyash P. Awate

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Robust Super-Resolution Gan, with Manifold-Based and Perception Loss.

Uddeshya Upadhyay, Suyash P. Awate

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks.

Uddeshya Upadhyay, Badrinath Singhal, Meenakshi Singh

Proceedings of the International Joint Conference on Neural Networks, 2019