GitHub topics: ieee-transactions
klb2/ieee-special-issue-tracker
Simple website that lists call for papers for special issues of IEEE journals
Language: Python - Size: 70.3 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
min-tang/home
tangmin's homepage
Language: HTML - Size: 720 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 28 - Forks: 2
chakravarthi589/Event-based-Vision_Resources
Resources Related to Event-based Vision | Event Cameras | DVS
Size: 27.8 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 163 - Forks: 23
RuijieZhu94/mmdepth
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]
Language: Python - Size: 4.51 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 67 - Forks: 5
LorenzoAgnolucci/Keyframes-GAN
[IEEE TMM 2023] This is the official repo of the paper "Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN".
Language: Python - Size: 92.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 14 - Forks: 0
klb2/ieee-paper-template
LaTeX template for IEEE papers (including Bash script for easy setup)
Language: TeX - Size: 42 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
klb2/secret-key-budget-ruin
This repository belongs to the paper "Reliability and Latency Analysis for Wireless Communication Systems with a Secret-Key Budget" (K.-L. Besser, R. F. Schaefer, H. V. Poor, IEEE Transactions on Communications, vol. 72, no. 2, pp. 1033-1044, Feb. 2024).
Language: Python - Size: 37.1 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0
bobye/GLBA
R code for Gated Latent Beta Allocation described in paper "Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data", TAFFC
Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2
lllllllllllll-llll/TwoStreamIQA
Pytorch version of IEEE Transactions on Image Processing 2019 : "Two-Stream Convolutional Networks for Blind Image Quality Assessment"
Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
lllllllllllll-llll/NSSADNN_IQA
Pytorch version of IEEE Transactions on Multimedia 2019: "Naturalness-Aware Deep No-Reference Image Quality Assessment."
Language: Python - Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 6
lllllllllllll-llll/DIQA
Pytorch version of the CVPR2014 paper: "Deep CNN-Based Blind Image Quality Predictor."
Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4
firasl/BoCF
Official implementation of 'Bag of Color Features For Color Constancy' (BoCF) accepted in IEEE Transactions on Image Processing (TIP) 2020
Language: Python - Size: 2.66 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 3
bobye/WBC_Matlab
Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)
Language: MATLAB - Size: 544 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 14
yanqingan/Illumination_Decomposition
Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources.
Language: C++ - Size: 23.4 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 2
mamurciac/DocumentsTemplates_PublicVersion
Proposed templates to document projects, exercises, class notebooks, presentations, etc. These templates are specially prepared to work in the context of systems engineering and mathematics, although they may be used in other topics, too. These templates are made in Latex & Beamer, P5 JS and Jupyter Notebook.
Language: TeX - Size: 799 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
ccq1n/Pairwise_Gaussian_Loss
Pairwise Gaussian Loss for Convolutional Neural Networks, IEEE Transactions on Industrial Informatics
Language: Python - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 2
