Showing 1–17 of 17 results
/ Date/ Name
Apr 7, 20253DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy ModelMay 12, 2023ROI-based Deep Image Compression with Swin TransformersJun 21, 2022Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization FilteringJul 14, 2021Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesMar 9, 2025FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image CompressionSep 5, 2023Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge DistillationJul 15, 2019Improved Hybrid Layered Image Compression using Deep Learning and Traditional CodecsJan 20, 2024Learned Image Compression with Dual-Branch Encoder and Conditional Information CodingJul 13, 2024WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy ModelSep 7, 2022Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter EstimationApr 2, 2025SELIC: Semantic-Enhanced Learned Image Compression via High-Level Textual GuidanceSep 25, 2020Learned Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave ConvolutionJul 3, 2019A Deep Image Compression Framework for Face RecognitionSep 18, 2025LSTC-MDA: A Unified Framework for Long-Short Term Temporal Convolution and Mixed Data Augmentation in Skeleton-Based Action RecognitionAug 23, 2023Enhanced Residual SwinV2 Transformer for Learned Image CompressionMar 21, 2024S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention ContextDec 6, 2025Beyond Hallucinations: A Multimodal-Guided Task-Aware Generative Image Compression for Ultra-Low Bitrate