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07/28/2023
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Recently, multi-reference entropy model has been proposed, which capture...
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05/12/2023
HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform
In recent years, there has been rapid development in learned image compr...
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04/19/2023
SLIC: Self-Conditioned Adaptive Transform with Large-Scale Receptive Fields for Learned Image Compression
Learned image compression has achieved remarkable performance. Transform...
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03/06/2023
Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression
Using more reference frames can significantly improve the compression ef...
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12/01/2022
Disparity-based Stereo Image Compression with Aligned Cross-View Priors
With the wide application of stereo images in various fields, the resear...
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11/14/2022
Multi-Reference Entropy Model for Learned Image Compression
Recently, learned image compression has achieved remarkable performance....
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10/31/2022
Improving Multi-generation Robustness of Learned Image Compression
Benefit from flexible network designs and end-to-end joint optimization ...
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07/30/2022
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding
Consistent quality oriented rate control in video coding has attracted m...
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01/05/2022
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss
Depth estimation is solved as a regression or classification problem in ...
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01/04/2022
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Scalable coding, which can adapt to channel bandwidth variation, perform...
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09/29/2021
Multi-frame Joint Enhancement for Early Interlaced Videos
Early interlaced videos usually contain multiple and interlacing and com...
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09/26/2021
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Self-supervised methods play an increasingly important role in monocular...
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03/26/2021
Super-Resolving Compressed Video in Coding Chain
Scaling and lossy coding are widely used in video transmission and stora...
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03/10/2021
COLA-Net: Collaborative Attention Network for Image Restoration
Local and non-local attention-based methods have been well studied in va...
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11/27/2020
Deinterlacing Network for Early Interlaced Videos
With the rapid development of image restoration techniques, high-definit...
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10/10/2017
An Innovative Salient Object Detection Using Center-Dark Channel Prior
Saliency detection aims to detect the most attractive objects in images,...
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06/13/2017
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Monte Carlo tree search (MCTS) is extremely popular in computer Go which...
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03/13/2017
GUN: Gradual Upsampling Network for single image super-resolution
In this paper, we propose an efficient super-resolution (SR) method base...
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03/12/2017