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03/02/2022
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
In this paper, we consider two challenging issues in reference-based sup...
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08/18/2021
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
Learning RAW-to-sRGB mapping has drawn increasing attention in recent ye...
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06/09/2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Monte Carlo (MC) dropout is a simple and efficient ensembling method tha...
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11/10/2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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07/31/2020
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
Calibrated estimates of uncertainty are critical for many real-world com...
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06/09/2020
Self-Distillation as Instance-Specific Label Smoothing
It has been recently demonstrated that multi-generational self-distillat...
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05/19/2020
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering
In this paper, we propose a new Semi-Nonnegative Matrix Factorization me...
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05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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04/08/2020
Deep Adaptive Inference Networks for Single Image Super-Resolution
Recent years have witnessed tremendous progress in single image super-re...
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06/23/2019
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
In classification applications, we often want probabilistic predictions ...
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05/20/2018