François Darmon

NeuralWarp. Code release of paper Improving neural implicit surfaces geometry with patch warping

wild_deep_mvs. Code release of paper "Deep Multi-View Stereo gone wild"

Generalized_ICP. Project on the Generalized ICP method for point cloud matching. (Part of MVA point cloud course)

ITS. Project on Intelligent Tutoring Systems. Part of RL course in MVA (ENS Cachan)

yolo_adaptation. Implementation on Python/Tensorflow of YOLO algorithm for object detection on single channel images

VQA. Visual Question Answering (Master MVA Object Recognition course)

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

colmap. COLMAP - Structure-from-Motion and Multi-View Stereo

vision. Datasets, Transforms and Models specific to Computer Vision

image-matching-benchmark. Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge

pytorch3d. PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

kernels. Data challenge for MVA course kernels methods (WIP)

GMS-Feature-Matcher. GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 19)

d2-net. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features