image codinglearning (artificial intelligence)minimisationThis paper studies the lossless compression of depth images realized by first transmitting contours of suitably chosen regions and subsequently performing predictive coding inside each region and transmitting the prediction residuals. For the large ...
[VUB] Ionut Schiopu, Adrian Munteanu: Deep-learning based Lossless Image Coding. Trans CSVT. [paper] [Waseda University] Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto: Learning Image and Video Compression through Spatial-Temporal Energy Compaction. CVPR 2019. [paper] [NJU] Haojie Liu...
为了倡导基于深度学习的视频编码研究,本文对我们开发的视频编解码器即深度学习视频编码(Deep Learning Video Coding,DLVC)进行了案例研究。DLVC具有两个深度工具,分别为基于CNN的环路滤波器(CNN-based in-loop filter,CNN-ILF)以及基于CNN的块自适应分辨率编码(CNN-based block adaptive resolution coding,CNN-BARC)。
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 ...
A novel multi-layered steganographic framework is proposed, integrating Huffman coding, Least Significant Bit (LSB) embedding, and a deep learning-based encoder–decoder to enhance imperceptibility, robustness, and security. Huffman coding compresses data and obfuscates statistical patterns, enabling ...
The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. While advances in deep learning and computer vision have enabled markerless pose estimation in
The estimated remaining time will be shown once the process starts. Based on the original size & enlarging configurations, the time needed is different. The actual processing time is usually much shorter than that estimated. This depends on server traffic/time of day, as well. ...
Collection of recent methods on (deep) neural network compression and acceleration. - MingSun-Tse/Efficient-Deep-Learning
The emergence of advanced 3D sensing technologies, such as LiDAR, has significantly increased the availability of point cloud data, driving the need for robust analytics through deep learning. Point clouds, with their detailed spatiotemporal structures,
25 Tasks Edit AddRemove Image Compression Datasets Edit ImageNetDIV2KImageNet-64 Results from the Paper Edit Submitresults from this paperto get state-of-the-art GitHub badges and help the community compare results to other papers. Methods ...