Uddeshya Upadhyay
According to our database1,
Uddeshya Upadhyay
authored at least 19 papers
between 2019 and 2023.
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Bibliography
2023
Unveiling the Ace in the Hole: Leveraging Uncertainty Quantification for Computer Vision Systems.
PhD thesis, 2023
HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms.
Trans. Mach. Learn. Res., 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.
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.
Medical Image Anal., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019