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07/26/2023
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
We propose MAMo, a novel memory and attention frame-work for monocular v...
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09/20/2022
NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images
In recent years, deep neural network-based restoration methods have achi...
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07/07/2022
Learning to restore images degraded by atmospheric turbulence using uncertainty
Atmospheric turbulence can significantly degrade the quality of images a...
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04/23/2022
Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
Existing approaches for restoring weather-degraded images follow a fully...
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03/17/2022
ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images
In recent years, convolutional neural network-based single image adverse...
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03/09/2022
3SD: Self-Supervised Saliency Detection With No Labels
We present a conceptually simple self-supervised method for saliency det...
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11/29/2021
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
Removing adverse weather conditions like rain, fog, and snow from images...
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05/13/2021
Network Architecture Search for Face Enhancement
Various factors such as ambient lighting conditions, noise, motion blur,...
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10/20/2020
Exploring Overcomplete Representations for Single Image Deraining using CNNs
Removal of rain streaks from a single image is an extremely challenging ...
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09/25/2020
Semi-Supervised Image Deraining using Gaussian Processes
Recent CNN-based methods for image deraining have achieved excellent per...
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08/06/2020
Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas
Data-driven automatic approaches have demonstrated their great potential...
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07/16/2020
Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs
Atmospheric turbulence significantly affects imaging systems which use l...
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07/07/2020
Learning to Count in the Crowd from Limited Labeled Data
Recent crowd counting approaches have achieved excellent performance. ho...
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04/07/2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Due to its variety of applications in the real-world, the task of single...
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12/18/2019
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Automatic segmentation of anatomical landmarks from ultrasound (US) play...
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11/29/2019
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions
Adverse weather conditions such as rain and haze corrupt the quality of ...
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10/28/2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
In this work, we propose a novel crowd counting network that progressive...
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09/10/2019
Confidence Measure Guided Single Image De-raining
Single image de-raining is an extremely challenging problem since the ra...
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07/30/2019
