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lucas-kanade-object-tracking

Lucas-Kanade Object Tracking and Background Subtraction in Videos

major-project-driver-drowsiness-attention-detection

Final Year Major , an Efficient Driver Drowsiness and attention detection System

maplab

An open visual-inertial mapping framework.

mar

Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning

market-1501_attribute

27 hand-annotated attributes of Market-1501

market1501_body_point

market1501evaluation

Evaluation codes for Market-1501 Person Re-ID Dataset

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

matlab_tripletloss

Matlab_TripletLoss

mcfts

Deep Convolutional Neural Networks for Thermal Infrared Object Tracking (MCFTS)

melm

Min-Entropy Latent Model for Weakly Supervised Object Detection

miadeepssl

This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.

micmac

Free open-source photogrammetry software tools

mimlca

Efficient Multiple Instance Metric Learning using Weakly Supervised Data

miniplaces

MiniPlaces Challenge: an Educational Tool for Deep Learning in Computer Vision

mmt

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

morphology

Advanced morphological filtering algorithms for OpenCV.

moving-objects-detector

Optical Flow-Based moving Object Detection and Tracking using MATLAB which is based on the Lucas Kanade method and also modified in the manner to reduce the effect of noise and increase the precision

mspfn

Multi-Scale Progressive Fusion Network for Single Image Deraining

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

multi_view_stereo_benchmark

A small 3D reconstruction benchmark for industrial applications.

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

multiview_dataset_mnist

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

netdissect-lite

Light version of Network Dissection for Quantifying Interpretability of Networks

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nlo_code

Nonlinear Optics Code

nonlinear-3d-face-morphable-model

Project that I worked on during my internship of 4th year at INSA Toulouse

nonlinear-deformation