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3d-geometric-features

3d_cascaded_seg

a cascaded framework for 3D mesh segmentation

3dshapecontexts

Accompanying source code for my 2003 paper 3D Shape Matching with 3D Shape Contexts

a-neural-algorithm-of-artistic-style

academic-kickstart

caffe

Caffe: a fast open framework for deep learning.

caffe-neural-style

Caffe implementation of the paper "A Neural Algorithm of Artistic Style" by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge.

cnn-and-dnn

Convolutional Neural Network and Multi Layer Perceptron in Pytorch

cnnmrf

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

cpdist

A MATLAB implementation of the Continuous Procrustes Distance

csd_lmnn

Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval

cse881_project

deep-image-analogy-pytorch

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

deepfunctionalmaps

deepnet

I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.

examples

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

feature-surface

Automatically exported from code.google.com/p/feature-surface

fgm

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

intrinsicshapecontext3d

This is an implementation of the work presented by Kokkinos et. al (Intrinsic Shape Context Descriptors for Deformable Shapes)

jjcao_code

l1-mesh-bilateral-filtering

labelmeshes_kalo

learning-dl

Learning Deep Learning

learning_geometry_images

matlab

matlab-toolboxes

Contains all my Matlab toolboxes.

meshviewer

The Mesh Viewer is an easy to use lightweight application for displaying three dimensional models (triangular meshes) with large poly counts. The Mesh Viewer is developed in OpenGL (with GLUT & GLUI) and reads models specified in Hugues Hoppe's M file format. The triangle meshes can be rendered as solid, wireframe or point clouds and the loaded models can be translated, rotated and scaled using mouse controls. The model can be lighted using one or two light sources and the model can be viewed in orthogonal or perspective projection. Efficient performance of the Mesh Viewer was validated when it took a few milliseconds to load and render the Stanford bunny.

metismex

Mex files for METIS