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ORCIDUddeshya Upadhyay
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Books and Theses
- 2023
[b1]Uddeshya Upadhyay:
Unveiling the Ace in the Hole: Leveraging Uncertainty Quantification for Computer Vision Systems. University of Tübingen, Germany, 2023
Journal Articles
- 2023
- [j3]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) - 2022
- [j2]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): 97:1-97:26 (2022) - 2021
- [j1]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: 102187 (2021)
Conference and Workshop Papers
- 2023
- [c11]Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg:
The Manifold Hypothesis for Gradient-Based Explanations. CVPR Workshops 2023: 3697-3702 - [c10]Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. ICCV 2023: 1899-1910 - [c9]Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee:
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. UAI 2023: 1707-1717 - 2022
- [c8]Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. ECCV (12) 2022: 299-317 - 2021
- [c7]Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate:
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. ICCVW 2021: 3248-3257 - [c6]Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata:
Uncertainty-Guided Progressive GANs for Medical Image Translation. MICCAI (3) 2021: 614-624 - [c5]Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Robustness via Uncertainty-aware Cycle Consistency. NeurIPS 2021: 28261-28273 - 2020
- [c4]Uddeshya Upadhyay, Biplab Banerjee:
Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification. ISBI 2020: 1266-1270 - 2019
- [c3]Uddeshya Upadhyay, Badrinath Singhal, Meenakshi Singh:
Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks. IJCNN 2019: 1-8 - [c2]Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. ISBI 2019: 1372-1376 - [c1]Uddeshya Upadhyay, Suyash P. Awate:
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. MICCAI (5) 2019: 556-564
Informal and Other Publications
- 2023
- [i16]Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata:
Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR abs/2302.11012 (2023) - [i15]Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee:
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. CoRR abs/2305.17520 (2023) - [i14]Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. CoRR abs/2307.00398 (2023) - [i13]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 abs/2311.13821 (2023) - 2022
- [i12]Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg:
The Manifold Hypothesis for Gradient-Based Explanations. CoRR abs/2206.07387 (2022) - [i11]Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. CoRR abs/2207.06873 (2022) - [i10]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 abs/2208.05552 (2022) - 2021
- [i9]Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Uncertainty-aware Generalized Adaptive CycleGAN. CoRR abs/2102.11747 (2021) - [i8]Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata:
Uncertainty-Guided Progressive GANs for Medical Image Translation. CoRR abs/2106.15542 (2021) - [i7]Uddeshya Upadhyay, Suyash P. Awate:
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. CoRR abs/2106.15575 (2021) - [i6]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 abs/2107.09892 (2021) - [i5]Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate:
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. CoRR abs/2110.03343 (2021) - [i4]Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Robustness via Uncertainty-aware Cycle Consistency. CoRR abs/2110.12467 (2021) - 2019
- [i3]Uddeshya Upadhyay, Arjun Jain:
Removal of Batch Effects using Generative Adversarial Networks. CoRR abs/1901.06654 (2019) - [i2]Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution GAN, with Manifold-based and Perception Loss. CoRR abs/1903.06920 (2019) - [i1]Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe:
Transformer Based Reinforcement Learning For Games. CoRR abs/1912.03918 (2019)
Coauthor Index
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