Uddeshya Upadhyay

34 papers A* 2A 1B 1Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Looking Beyond Language Priors: Enhancing Visual Comprehension and Attention in Multimodal Models. CoRR Aarti Ghatkesar, Uddeshya Upadhyay, Ganesh Venkatesh
2025	J	`jnl`	Uncertainty-aware Test-Time Training (UT CoRR Uddeshya Upadhyay
2023	J	`jnl`	HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms. Trans. Mach. Learn. Res. Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco Lopez-Jimenez, Samuel J. Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve
2023	J	`jnl`	HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms. CoRR Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco Lopez-Jimenez, Samuel J. Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve
2023	J	`jnl`	Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata
2023	A*	`conf`	ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. ICCV Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
2023	J	`jnl`	ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. CoRR Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
2023	—	`conf`	The Manifold Hypothesis for Gradient-Based Explanations. CVPR Workshops Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2023	—	`conf`	The Manifold Hypothesis for Gradient-Based Explanations. XAI4CV Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2023	A	`conf`	USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. UAI Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee
2023	J	`jnl`	USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. CoRR Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee
2023	—	`—`	Unveiling the Ace in the Hole: Leveraging Uncertainty Quantification for Computer Vision Systems. Uddeshya Upadhyay
2022	—	`conf`	BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. ECCV (12) Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
2022	J	`jnl`	BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. CoRR Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
2022	J	`jnl`	The Manifold Hypothesis for Gradient-Based Explanations. CoRR Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2022	J	`jnl`	Towards Automating Retinoscopy for Refractive Error Diagnosis. CoRR Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain
2022	J	`jnl`	Towards Automating Retinoscopy for Refractive Error Diagnosis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain
2021	J	`jnl`	A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. CoRR Uddeshya Upadhyay, Suyash P. Awate
2021	A*	`conf`	Robustness via Uncertainty-aware Cycle Consistency. NeurIPS Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
2021	J	`jnl`	Robustness via Uncertainty-aware Cycle Consistency. CoRR Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
2021	J	`jnl`	Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. CoRR Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
2021	J	`jnl`	Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. Medical Image Anal. Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
2021	—	`conf`	Uncertainty-Guided Progressive GANs for Medical Image Translation. MICCAI (3) Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
2021	J	`jnl`	Uncertainty-Guided Progressive GANs for Medical Image Translation. CoRR Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
2021	—	`conf`	Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. ICCVW Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
2021	J	`jnl`	Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. CoRR Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
2021	J	`jnl`	Uncertainty-aware Generalized Adaptive CycleGAN. CoRR Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
2020	—	`conf`	Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification. ISBI Uddeshya Upadhyay, Biplab Banerjee
2019	—	`conf`	A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. MICCAI (5) Uddeshya Upadhyay, Suyash P. Awate
2019	J	`jnl`	Removal of Batch Effects using Generative Adversarial Networks. CoRR Uddeshya Upadhyay, Arjun Jain
2019	J	`jnl`	Robust Super-Resolution GAN, with Manifold-based and Perception Loss. CoRR Uddeshya Upadhyay, Suyash P. Awate
2019	—	`conf`	Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. ISBI Uddeshya Upadhyay, Suyash P. Awate
2019	B	`conf`	Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks. IJCNN Uddeshya Upadhyay, Badrinath Singhal, Meenakshi Singh
2019	J	`jnl`	Transformer Based Reinforcement Learning For Games. CoRR Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe