DavidHuang's repositories

awesome-deep-vision

A curated list of deep learning resources for computer vision

binary_net

experimental binary net implementation in chainer

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caffe-googlenet-bn

re-implementation of googlenet batch normalization

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caffe-rta

Modified caffe distribution to provide real-time augmentation

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deep-landmark

Predict facial landmarks with Deep CNNs powered by Caffe.

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Deep-Semi-NMF

Theano-based implementation of Deep Semi-NMF.

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EnsembleSVM

A Library for Ensemble Learning Using Support Vector Machines

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finegrained-cvpr2014

Nonparametric part-transfer for fine-grained recognition

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impHumanDetectionAndTracking

A C/C++ implementation of pedestrian detection and tracking.

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k-poselets

k-poselets CVPR2014 code

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lpo

Implementation of the CVPR 2015 paper: Learning to propose objects

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MDPM

Mid-level Deep Pattern Mining

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part_constellation_models

Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."

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PartDetectorDisovery

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

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PartsBasedDetector

C++ implementation of Deva Ramanan's "Articulated Pose Estimation with Flexible Mixtures of Parts"

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PedestrianDetector

C++ re-implementation of Piotr Dollar's pedestrian detection library for matlab

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PyReID

Flexible and extensible Framework for Person Re-identification problem, built with Python and OpenCV.

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rcnn

R-CNN: Regions with Convolutional Neural Network Features

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SparseConvNet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

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Tracking-Pose-by-Particle-Filter

HPE in video by using Particle Filter

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transformer_network

Spatial Transformer network

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video-splitter

Simple Python script to split video into equal length chunks

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voc-dpm

Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.

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