CLIC20
* *Learned Image Compression
* 3-D Context Entropy Model for Improved Practical Image Compression
* Adapting JPEG XS gains and priorities to tasks and contents
* Adversarial Distortion for Learned Video Compression
* Compression Artifact Removal with Ensemble Learning of Neural Networks
* Efficient Context-Aware Lossy Image Compression
* End-to-End Learning for Video Frame Compression with Self-Attention
* End-to-end Optimized Video Compression with MV-Residual Prediction
* Hybrid Image Codec with Learned Residual Coding, A
* Image Compression Framework with Learning-based Filter, An
* Image Compression with Encoder-Decoder Matched Semantic Segmentation
* Improve Image Codec's Performance By Variating Post Enhancing Neural Network: Submission of zxw for CLIC2020
* Joint Learned and Traditional Video Compression for P Frame
* Joint motion and residual information latent representation for P-frame coding
* Learned Low Bit-rate Image Compression with Adversarial Mechanism
* Learned Video Compression with Feature-level Residuals
* Lossy Compression with Distortion Constrained Optimization
* Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods
* Low-rate Image Compression with Super-resolution Learning
* Multi-scale Grouped Dense Network for VVC Intra Coding
* P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation
* Post-Processing Network Based on Dense Inception Attention for Video Compression
* SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation
* Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed Images
* Training Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions, A
* Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding
* Variable Rate Image Compression Method with Dead-zone Quantizer
* Variable Rate Image Compression with Content Adaptive Optimization
* Video Compression Framework Using an Overfitted Restoration Neural Network, A
29 for CLIC20
CLIC21
* *Learned Image Compression
* Beyond VVC: Towards Perceptual Quality Optimized Video Compression Using Multi-Scale Hybrid Approaches
* DANICE: Domain adaptation without forgetting in neural image compression
* Deep Image Compression with Latent Optimization and Piece-wise Quantization Approximation
* Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding
* End-to-End Learned Image Compression with Augmented Normalizing Flows
* End-to-end optimized image compression with competition of prior distributions
* Image Compression with Recurrent Neural Network and Generalized Divisive Normalization
* Learned Image Compression with Super-Resolution Residual Modules and DISTS Optimization
* Learned Video Compression with Intra-Guided Enhancement and Implicit Motion Information
* Multi-Metric Fusion Network for Image Quality Assessment
* Perceptual Friendly Variable Rate Image Compression
* Perceptual Image Compression using Relativistic Average Least Squares GANs
* Rate-Distortion Optimized Learning-Based Image Compression using an Adaptive Hierachical Autoencoder with Conditional Hyperprior
* Self Texture Transfer Networks for Low Bitrate Image Compression
* Subjective Quality Optimized Efficient Image Compression
* Universal Encoder Rate Distortion Optimization Framework for Learned Compression, A
* Variable Rate ROI Image Compression Optimized for Visual Quality
18 for CLIC21
CLIC22
* *Learned Image Compression
* Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression
* Focused Feature Differentiation Network for Image Quality Assessment
* Hybrid video coding scheme based on VVC and spatio-temporal attention convolution neural network
* Image Quality Assessment with Transformers and Multi-Metric Fusion Modules
* Learned Compression of High Dimensional Image Datasets
* Learned Low Bitrate Video Compression with Space-Time Super-Resolution
* Neural Face Video Compression using Multiple Views
* Neural Network-based In-Loop Filter for CLIC 2022
* Neural-network Enhanced Video Coding Framework beyond VVC, A
* Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions
* Perceptual in-Loop Filter for Image and Video Compression
* PO-ELIC: Perception-Oriented Efficient Learned Image Coding
* RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth
* Self-Supervised Variable Rate Image Compression using Visual Attention
* Slimmable Video Codec
* Soft-ranked Index Fusion Framework with Saliency Weighting for Image Quality Assessment, A
* Super-Resolution based Video Coding Scheme
* SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment
* User-Guided Variable Rate Learned Image Compression
20 for CLIC22