Image Compression
- Signal Processing 2022 Deep Architectures for Image Compression: A Critical Review [Paper]
- TPAMI 2021 Learning end-to-end lossy image compression: A benchmark [Paper]
Methods
- CVPR 2023 Raw Image Reconstruction with Learned Compact Metadata [Paper]
- CVPR 2023 Multi-Realism Image Compression with a Conditional Generator [Paper]
- CVPR 2023 AccelIR: Task-aware Image Compression for Accelerating Neural Restoration [Paper]
- CVPR 2023 Context-Based Trit-Plane Coding for Progressive Image Compression [Paper]
- CVPR 2023 LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression [Paper]
- CVPR 2023 Learned Image Compression with Mixed Transformer-CNN Architectures [Paper]
- ICLR 2023 Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve [Paper]
- CVPR 2022 LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network [Paper]
- CVPR 2022 The Devil Is in the Details: Window-Based Attention for Image Compression [Paper]
- CVPR 2022 ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding [Paper]
- ECCV 2022 Optimizing Image Compression via Joint Learning with Denoising [Paper]
- ECCV 2022 Content Adaptive Latents and Decoder for Neural Image Compression [Paper]
- ACMMM 2022 High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation [Paper]
- NIPS 2022 High-fidelity generative image compression [Paper] [Code]
- CVPR 2022 DPICT: Deep Progressive Image Compression Using Trit-Planes [Paper]
- CVPR 2022 Neural data-dependent transform for learned image compression [Paper]
- NIPS 2021 Lossy compression for lossless prediction [Paper] [Code]
- ICCV 2021 Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform [Paper]
- CVPR 2021 Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation [Paper]
- CVPR 2021 Slimmable Compressive Autoencoders for Practical Neural Image Compression [Paper]
- CVPR 2021 Checkerboard Context Model for Efficient Learned Image Compression [Paper] [Code]
- CVPR 2020 Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules [Paper] [code]
- SPL 2020 Variable rate deep image compression with modulated autoencoder [Paper]
- CVPR 2019 Practical Full Resolution Learned Lossless Image Compression [Paper]
- ICCV 2019 Variable Rate Deep Image Compression With a Conditional Autoencoder [Paper]
- NIPS 2018 Joint Autoregressive and Hierarchical Priors for Learned Image Compression [Paper]
- ICLR 2018 Variational image compression with a scale hyperprior [Paper]
Video Compression
- CVPR 2023 Hierarchical B-frame Video Compression Using Two-Layer CANF without Motion Coding [Paper]
- CVPR 2023 Motion Information Propagation for Neural Video Compression [Paper]
- CVPR 2023 Neural Video Compression with Diverse Contexts [Paper]
- CVPR 2023 Video Compression with Entropy-Constrained Neural Representations [Paper]
- ECCV 2022 CANF-VC: Conditional Augmented Normalizing Flows for Video Compression[Paper]
- ECCV 2022 Neural video compression using gans for detail synthesis and propagation [Paper]
- CVPR 2022 LSVC: a learning-based stereo video compression framework [Paper]
- CVPR 2021 FVC: A new framework towards deep video compression in feature space [Paper]
- ECCV 2020 Improving Deep Video Compression by Resolution-adaptive Flow Coding [Paper]
- ECCV 2020 Content Adaptive and Error Propagation Aware Deep Video Compression [Paper]
- CVPR 2020 Scale-space flow for end-to-end optimized video compression [Paper]
- CVPR 2020 Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement [Paper]
- CVPR 2020 M-LVC: Multiple Frames Prediction for Learned Video Compression [Paper]
- ICCV 2019 Learned video compression [Paper]
- ICCV 2019 Video Compression With Rate-Distortion Autoencoders [Paper]
- ICCV 2019 Non-Local ConvLSTM for Video Compression Artifact Reduction [Paper]
- ICCV 2019 Neural Inter-Frame Compression for Video Coding [Paper]
- CVPR 2019 Dvc: An end-to-end deep video compression framework [Paper]
- CVPR 2019 Learning Image and Video Compression through Spatial-Temporal Energy Compaction [Paper]
- IJCV 2019 Video Enhancement with Task-Oriented Flow [Paper]
Security
- CVPR 2023 Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger [Paper]
- Arxiv Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning [Paper]
相關的文章參考
幾種信号降噪算法（第一部分）
https://www.toutiao.com/article/7190201924820402721/
幾種信号降噪算法（第二部分）
https://www.toutiao.com/article/7190270349236683264/
機械故障診斷及工業工程故障診斷若幹例子（第一篇）
https://www.toutiao.com/article/7193957227231855163/
知乎咨詢:哥廷根數學學派
算法代碼位址，面包多首頁：
https://mbd.pub/o/GeBENHAGEN/work
擅長現代信号處理(改進小波分析系列，改進變分模态分解，改進經驗小波變換，改進辛幾何模态分解等等)，改進機器學習，改進深度學習，機械故障診斷，改進時間序列分析(金融信号，心電信号，振動信号等)
