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07/12/2023
Efficient Convolution and Transformer-Based Network for Video Frame Interpolation
Video frame interpolation is an increasingly important research task wit...
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05/13/2022
Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture
Video frame interpolation involves the synthesis of new frames from exis...
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03/16/2022
Complexity Reduction of Learned In-Loop Filtering in Video Coding
In video coding, in-loop filters are applied on reconstructed video fram...
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04/23/2020
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression
With the increasing demand for video content at higher resolutions, it i...
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03/13/2020
Estimation of Rate Control Parameters for Video Coding Using CNN
Rate-control is essential to ensure efficient video delivery. Typical ra...
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12/14/2018
Advanced Super-Resolution using Lossless Pooling Convolutional Networks
In this paper, we present a novel deep learning-based approach for still...
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09/26/2018
Convolutional Neural Networks for Video Quality Assessment
Video Quality Assessment (VQA) is a very challenging task due to its hig...
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10/04/2017
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Sketch portrait generation benefits a wide range of applications such as...
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07/28/2017
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning
Aiming at improving performance of visual classification in a cost-effec...
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07/06/2016
CUNet: A Compact Unsupervised Network for Image Classification
In this paper, we propose a compact network called CUNet (compact unsupe...
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03/18/2016
Approximated Robust Principal Component Analysis for Improved General Scene Background Subtraction
The research reported in this paper addresses the fundamental task of se...
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06/08/2015