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Jiangangyang_CAS's Projects

cdan icon cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

coco_foryolo icon coco_foryolo

Extract training data set suitable for YOLO darknet from COCO database

cvpr2014 icon cvpr2014

Code for "Efficient feature extraction, aggregation and classification for action recognition" (Kantorov, Laptev, CVPR'14)

da icon da

Unsupervised Domain Adaptation Papers and Code

deblur-gan icon deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

deblurganv2 icon deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

decision-boundaries icon decision-boundaries

code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-

depth-aware-motion-deblurring icon depth-aware-motion-deblurring

Mirror from https://square-src.de/gitlab/franzi/study-thesis. This is my study thesis - a reference implementation of the depth-aware motion deblurring algorithm by Xu and Jia.

df-net icon df-net

[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

edsr-pytorch icon edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

edvr icon edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

flownet2-pytorch icon flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

hdrnet-pytorch icon hdrnet-pytorch

Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

image-contrast-enhancement icon image-contrast-enhancement

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

keras-yolo2 icon keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

kinetics-i3d icon kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

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