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Université de Poitiers
- Poitiers, France
Highlights
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The State of Software Engineering in Algeria website
The Most Comprehensive Survey of Video Quality Assessment to Date.
Subjective quality scores recovery from noisy measurements.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A comprehensive collection of IQA papers
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
Measures and metrics for image2image tasks. PyTorch.
Latex code for making neural networks diagrams
Gaussian-Based Pooling for Convolutional Neural Networks
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images (IEEE ICME'2021))
Code and model for the paper "ScanGAN360: A Generative Model of Realistic Scanpaths for 360º Images"
Visual Scanpath Prediction using IOR-ROI Recurrent Mixture Density Network
Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
PyTorch Tutorials from my YouTube channel
Neural network visualization toolkit for tf.keras
Providing reproducibility in deep learning frameworks
Classification models trained on ImageNet. Keras.
Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos
Read subjective experiment data to suJSON format.
100 questions in image process
Video Saliency Prediction Based on Spatial- Temporal Two-Stream Network (TCSVT2019)
The fundamental package for scientific computing with Python.
A complete implementation of 10918-1 (JPEG) coming from jpeg.org (the ISO group) with extensions for HDR, lossless and alpha channel coding standardized as ISO/IEC 18477 (JPEG XT).
ChainerCV: a Library for Deep Learning in Computer Vision
A curated list of awesome Deep Learning tutorials, projects and communities.