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07/01/2023
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
Large-scale vision-language models (VLMs) like CLIP successfully find co...
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05/27/2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Dense regression is a widely used approach in computer vision for tasks ...
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02/21/2023
Posterior Annealing: Fast Calibrated Uncertainty for Regression
Bayesian deep learning approaches that allow uncertainty estimation for ...
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08/10/2022
Towards Automating Retinoscopy for Refractive Error Diagnosis
Refractive error is the most common eye disorder and is the key cause be...
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07/14/2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
High-quality calibrated uncertainty estimates are crucial for numerous r...
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06/15/2022
The Manifold Hypothesis for Gradient-Based Explanations
When do gradient-based explanation algorithms provide meaningful explana...
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10/24/2021
Robustness via Uncertainty-aware Cycle Consistency
Unpaired image-to-image translation refers to learning inter-image-domai...
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10/07/2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Image-to-image translation is an ill-posed problem as unique one-to-one ...
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07/21/2021
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data
Radiation exposure in positron emission tomography (PET) imaging limits ...
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06/29/2021
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
Deep neural networks for image quality enhancement typically need large ...
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06/29/2021
Uncertainty-Guided Progressive GANs for Medical Image Translation
Image-to-image translation plays a vital role in tackling various medica...
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02/23/2021
Uncertainty-aware Generalized Adaptive CycleGAN
Unpaired image-to-image translation refers to learning inter-image-domai...
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12/09/2019
Transformer Based Reinforcement Learning For Games
Recent times have witnessed sharp improvements in reinforcement learning...
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03/16/2019
Robust Super-Resolution GAN, with Manifold-based and Perception Loss
Super-resolution using deep neural networks typically relies on highly c...
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01/20/2019