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Chang Liu's Projects

3dmm_cnn icon 3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

adaptsegnet icon adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

caffe icon caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

clan icon clan

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

cs231n-2017-summary icon cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

dta.pytorch icon dta.pytorch

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

examples icon examples

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

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

kittiseg icon kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

maxsquareloss icon maxsquareloss

Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.

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