Ronggang Wang | DeepAI

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Jian Zhang
226 publications
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114 publications
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113 publications
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93 publications
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90 publications
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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...

0 Wei Jiang, et al. ∙

∙ 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...

0 Peirong Ning, et al. ∙

∙ 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...

0 Wei Jiang, et al. ∙

∙ 03/06/2023

Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression

Using more reference frames can significantly improve the compression ef...

0 Feng Wang, et al. ∙

∙ 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...

0 Yongqi Zhai, et al. ∙

∙ 11/14/2022

Multi-Reference Entropy Model for Learned Image Compression

Recently, learned image compression has achieved remarkable performance....

0 Wei Jiang, et al. ∙

∙ 10/31/2022

Improving Multi-generation Robustness of Learned Image Compression

Benefit from flexible network designs and end-to-end joint optimization ...

0 Litian Li, et al. ∙

∙ 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...

0 Wei Gao, et al. ∙

∙ 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 ...

10 Rui Peng, et al. ∙

∙ 01/04/2022

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression

Scalable coding, which can adapt to channel bandwidth variation, perform...

22 Yi Ma, et al. ∙

∙ 09/29/2021

Multi-frame Joint Enhancement for Early Interlaced Videos

Early interlaced videos usually contain multiple and interlacing and com...

0 fcq, et al. ∙

∙ 09/26/2021

Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

Self-supervised methods play an increasingly important role in monocular...

4 Rui Peng, et al. ∙

∙ 03/26/2021

Super-Resolving Compressed Video in Coding Chain

Scaling and lossy coding are widely used in video transmission and stora...

0 Dewang Hou, et al. ∙

∙ 03/10/2021

COLA-Net: Collaborative Attention Network for Image Restoration

Local and non-local attention-based methods have been well studied in va...

18 Chong Mou, et al. ∙

∙ 11/27/2020

Deinterlacing Network for Early Interlaced Videos

With the rapid development of image restoration techniques, high-definit...

0 fcq, et al. ∙

∙ 10/10/2017

An Innovative Salient Object Detection Using Center-Dark Channel Prior

Saliency detection aims to detect the most attractive objects in images,...

0 Chunbiao Zhu, et al. ∙

∙ 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...

0 Jinzhuo Wang, et al. ∙

∙ 03/13/2017

GUN: Gradual Upsampling Network for single image super-resolution

In this paper, we propose an efficient super-resolution (SR) method base...

0 fcq, et al. ∙

∙ 03/12/2017

Local Patch Classification Based Framework for Single Image Super-Resolution

Recent learning-based super-resolution (SR) methods often focus on the d...

0 fcq, et al. ∙

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