##### Workshop and challenge papers

Y. Chen,
Q. Yuan,
X. wu,
Z. Zhang, and
Y. Feng

**MCM: Multi-channel Context Model for Entropy in Generative Image Compression**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

C.-P. Chang,
C.-H. Lin,
W.-H. Peng, and
H.-M. Hang

**Learned Inter-frame Compression for CLIC 2021**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

Y. Ma,
Y. Zhai,
J. Yang,
C. Yang, and
R. Wang

**ROI Perceptual Metric**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

J. Bégaint,
F. Racape,
S. Feltman, and
A. Pushparaja

**Hierarchical Temporal Structure for End-to-End Neural Network-based Video Compression**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

D. Alexandre,
W.-H. Peng, and
H.-M. Hang

**Learning-based Video Coding for CLIC 2021**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

D. Alexandre,
W.-H. Peng, and
H.-M. Hang

**Hybrid Video Coding for CLIC 2021**

*4th Challenge on Learned Image Compression,
2021*

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RIS,
BibTex

J. Liu,
S. Sun,
Y. Lu,
X. Li, and
Z. Chen

**Learned Dual Perceptual Image Similarity for Compressed Image**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

P. Philippe and
T. Ladune

**Coding standards as anchors for the CVPR CLIC video track**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

T. Ladune,
P. Philippe,
W. Hamidouche,
L. Zhang, and
O. Deforges

**Conditional Coding and Variable Bitrate for Practical Learned Video Coding**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

C. Wu

**Approach of Team HHC: A Method for Low Bitrate Image Compression**

*4th Challenge on Learned Image Compression,
2021*

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RIS,
BibTex

T. Fu,
Z. Cheng,
J. Hu,
L. Guo,
S. Wang,
X. Zhao,
D. Zhou, and
Y. Song

**Quality enhancement of VVC intra-frame coding based on HGRDN**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

S. Gao,
Y. Shi,
T. Guo,
Z. Qiu,
Y. Ge,
Z. Cui,
Y. Feng,
J. Wang,
*et al.*

**Perceptual Learned Image Compression With Continuous Rate Adaptation**

*4th Challenge on Learned Image Compression,
2021*

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RIS,
BibTex

G. Gao,
R. Pan,
P. You,
S. Han,
Y. Zhang, and
H. Lee

**Attentional Multi-scale Back Projection Network for Low Bit-rate Image Compression**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

A. Lytchier,
J. Xu,
C. Finlay,
C. Cursio,
V. Koshkina,
C. Besenbruch, and
A. Zafar

**Perceptually-Guided Lossy Image Compression**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

Z. Guo,
R. Feng,
Y. Wu, and
Z. Chen

**Improved Neural Image Compression: A New Two-Stage Quantization Strategy**

*4th Challenge on Learned Image Compression,
2021*

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RIS,
BibTex

J. Zhang,
X. Zeng,
Z. Li,
X. Hu,
N. Wang, and
D. Zhang

**An Adaptive In-Loop Filter based on Neural Network for Video Coding**

*4th Challenge on Learned Image Compression,
2021*

PDF,
RIS,
BibTex

J. Zhao,
B. Li,
J. Li,
R. Xiong, and
Y. Lu

**A Universal Encoder Rate Distortion Optimization Framework for Learned Compression**

*Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops,
2021*

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RIS,
BibTex

Z. Huang,
K. Lin,
C. Jia,
S. Wang, and
S. Ma

**Beyond VVC: Towards Perceptual Quality Optimized Video Compression Using Multi-Scale Hybrid Approaches**

*Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops,
2021*

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RIS,
BibTex

B. Brummer and
C. D. Vleeschouwer

**End-to-End Optimized Image Compression With Competition of Prior Distributions**

*Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops,
2021*

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BibTex

N. Zou,
H. Zhang,
F. Cricri,
H. R. Tavakoli,
J. Lainema,
E. Aksu,
M. Hannuksela, and
E. Rahtu

**Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information**

PDF,
RIS,
BibTex

Y. Peng,
J. Xu,
Z. Luo,
W. Zhou, and
Z. Chen

**Multi-Metric Fusion Network for Image Quality Assessment**

PDF,
RIS,
BibTex

Y. Wu,
Z. Qi,
H. Zheng,
L. Tao, and
W. Gao

**Deep Image Compression With Latent Optimization and Piece-Wise Quantization Approximation**

PDF,
RIS,
BibTex

X. Wang,
T. Chen, and
Z. Ma

**Subjective Quality Optimized Efficient Image Compression**

PDF,
RIS,
BibTex

K. Islam,
L. M. Dang,
S. Lee, and
H. Moon

**Image Compression With Recurrent Neural Network and Generalized Divisive Normalization**

PDF,
RIS,
BibTex

Y. Ma,
Y. Zhai,
C. Yang,
J. Yang,
R. Wang,
J. Zhou,
K. Li,
Y. Chen,
*et al.*

**Variable Rate ROI Image Compression Optimized for Visual Quality**

PDF,
RIS,
BibTex

S. Katakol,
L. Herranz,
F. Yang, and
M. Mrak

**DANICE: Domain Adaptation Without Forgetting in Neural Image Compression**

URL,
PDF,
Supplemental,
RIS,
BibTex

Y.-H. Ho,
C.-C. Chan,
W.-H. Peng, and
H.-M. Hang

**End-to-End Learned Image Compression With Augmented Normalizing Flows**

PDF,
RIS,
BibTex

A. Suzuki,
H. Akutsu,
T. Naruko,
K. Tsubota, and
K. Aizawa

**Learned Image Compression With Super-Resolution Residual Modules and DISTS Optimization**

PDF,
RIS,
BibTex

Y. Gao,
Y. Wu,
Z. Guo,
Z. Zhang, and
Z. Chen

**Perceptual Friendly Variable Rate Image Compression**

PDF,
RIS,
BibTex

C. D. K. Pham,
C. Fu, and
J. Zhou

**Deep Learning Based Spatial-Temporal In-Loop Filtering for Versatile Video Coding**

PDF,
RIS,
BibTex

Z. Cheng,
T. Fu,
J. Hu,
L. Guo,
S. Wang,
X. Zhao,
D. Zhou, and
Y. Song

**Perceptual Image Compression Using Relativistic Average Least Squares GANs**

PDF,
RIS,
BibTex

F. Brand,
K. Fischer, and
A. Kaup

**Rate-Distortion Optimized Learning-Based Image Compression Using an Adaptive Hierachical Autoencoder With Conditional Hyperprior**

PDF,
RIS,
BibTex

S. Iwai,
T. Miyazaki,
Y. Sugaya, and
S. Omachi

**Self Texture Transfer Networks for Low Bitrate Image Compression**

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RIS,
BibTex