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Mounir Bendali-Braham's Projects

crowd-counting-scnn icon crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-cascaded-mtl icon crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

idt icon idt

improved dense trajectories

keras-resnet3d icon keras-resnet3d

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

opticalflow-speedtest icon opticalflow-speedtest

This is a script which tests the speed of multiple optical flow extraction methods. support both single-thread and multi-thread

py-denseflow icon py-denseflow

Extract TVL1 optical flows in python (multi-process && multi-server)

r2plus1d icon r2plus1d

R(2+1)D and Mixed-Convolutions for Action Recognition.

statis-matlab icon statis-matlab

Fonctions pour calculer le methode STATIS sur matlab|| Functions for calculate the method STATIS in MatLAB

usthb icon usthb

A sample project to demonstrate git and github

vidaug icon vidaug

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

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