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12/11/2022
Learning Neural Volumetric Field for Point Cloud Geometry Compression
Due to the diverse sparsity, high dimensionality, and large temporal var...
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09/06/2022
Learning to Predict on Octree for Scalable Point Cloud Geometry Coding
Octree-based point cloud representation and compression have been adopte...
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03/09/2022
Neural Data-Dependent Transform for Learned Image Compression
Learned image compression has achieved great success due to its excellen...
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12/28/2021
Towards Low Light Enhancement with RAW Images
In this paper, we make the first benchmark effort to elaborate on the su...
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10/18/2021
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Video Coding for Machines (VCM) is committed to bridging to an extent se...
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06/16/2021
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Visual analytics have played an increasingly critical role in the Intern...
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02/10/2020
Learning End-to-End Lossy Image Compression: A Benchmark
Image compression is one of the most fundamental techniques and commonly...
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01/09/2020
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach
The past decades have witnessed the rapid development of image and video...
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01/28/2019
Bridging the Gap Between Computational Photography and Visual Recognition
What is the current state-of-the-art for image restoration and enhanceme...
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07/06/2018
Progressive Spatial Recurrent Neural Network for Intra Prediction
Intra prediction is an important component of modern video codecs, which...
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06/19/2018
A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding
Motion compensation is an important technology in video coding to remove...
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06/08/2018
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal
JPEG is one of the most commonly used standards among lossy image compre...
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03/22/2017
