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chenbangfeng's Projects

siggraph2016_colorization icon siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

sketchsynthesis icon sketchsynthesis

A generative method to synthesize free-hand styled sketches from images

sky-generator icon sky-generator

Generate images of skies, clouds and sunsets with neural networks.

spynet icon spynet

Spatial Pyramid Network for Optical Flow

srgan icon srgan

Implementation of [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2]

ss-gan icon ss-gan

Style and Structure GAN (ECCV 2016)

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector.

stnbhwd icon stnbhwd

Modules for spatial transformer networks (BHWD layout)

style-swap icon style-swap

code for Fast Patch-based Style Transfer of Arbitrary Style

style-transfer-algorithm icon style-transfer-algorithm

TensorFlow implementation of "A Neural Algorithm of Artistic Style" using total variation denoising as a regularizer. Apply artistic style to an image given some artwork as a source.

texture_nets icon texture_nets

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

torch-residual-networks icon torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

torch-twrl icon torch-twrl

Torch-twrl is a package that enables reinforcement learning in Torch.

trans-torch icon trans-torch

Translating Torch model to other framework such as Caffe, MxNet ...

turbo icon turbo

Turbo is a framework built for LuaJIT 2 to simplify the task of building fast and scalable network applications. It uses a event-driven, non-blocking, no thread design to deliver excellent performance and minimal footprint to high-load applications while also providing excellent support for embedded uses.

vad icon vad

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

vanillacnn icon vanillacnn

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

vehicle_detection_recognition icon vehicle_detection_recognition

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html

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