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followers: 72.0 following: 2.0 repos: 30.0 gists: 0.0

Name: Chenhan Jiang

Type: User

Company: Hong Kong University of Science and Technology

Bio: Research interest includes 3D computer vision and self-/semi-/unsupervised learning.

Chenhan Jiang's Projects

3dpose_ssl

3D Human Pose Machines with Self-supervised Learning

benchmark_results

visual tracker benchmark results

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

caffe

Caffe: a fast open framework for deep learning.

caffe_ssl

caffe for Self-supervised Structure-sensitive Learning, CVPR'17

chanyn.github.io

Chenhan Jiang's homepage.

common

caffe/MXNet env without opencv

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_q_rl

Theano-based implementation of Deep Q-learning

deepcut-cnn

CNN architecture for articulated human pose estimation

deepqlearning

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

depthmap_dataset

Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

dl-setup

Instructions for setting up the software on your deep learning machine

dqn-in-the-caffe

An implementation of Deep Q-Network using Caffe

electronic-wechat

:speech_balloon: A better WeChat on macOS and Linux. Fewer bugs, more features. Built with Electron by Zhongyi Tong.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gfw_whitelist

hkrm

Hybrid Knowledge Routed Module for Large-scale Object Detection (NerIPS2018)

kinect2.0-opencv

Using Kinect 2.0 + OpenCV to get Depth Data, Body Data, Hand State and Body Index Data.

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

mmdetection

Open MMLab Detection Toolbox and Benchmark

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

reasoning-rcnn

Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection (CVPR2019 Oral)

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

stereoconvnet

Stereo convolutional neural network for depth map prediction from stereo images

stereodepthcnn

Summer Research Fellowship Work at IITD

tensorflow-vgg16

conversation of caffe vgg16 model to tensorflow

virtualmirror

Kinect Depth and RGB camera calibration and Virtual Mirror application - CS6240, CS, NUS, 2011

zed-opencv

ZED SDK interface sample with OpenCV 3.1

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