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05/05/2023
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions
In recent years, videos and images in 720p (HD), 1080p (FHD) and 4K (UHD...
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10/15/2022
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution
Online processing of compressed videos to increase their resolutions att...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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05/17/2021
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
Image super-resolution is one of the most popular computer vision proble...
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02/03/2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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11/01/2019
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
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10/07/2019
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images
Cell detection and cell type classification from biomedical images play ...
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10/01/2019
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
Imaging-based early diagnosis of Alzheimer Disease (AD) has become an ef...
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03/03/2019
