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3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

acfnet

This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

adaptive-sampling

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries

adm-seg

Beyond Gradient Descent for Regularized Segmentation Losses

aesthetics

Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

autumn_2017

杭州电子科技大学 CAMALAB 2017 秋季学期 学习组

awesome-human-pose-estimation

Human Pose Estimation Related Publication

awesome-person-re-identification

Awesome person re-identification

awesome-reid-dataset

Collection of public available person re-identification datasets

beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

bigdata-project

实现大数据的加减乘除四项基本操作

bingham-rotation-learning

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

boxx

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

bts-pytorch

PyTorch implementation of BTS Depth Estimator

camconvs

Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

cnc_remastered_collection

coding-interview-university

A complete computer science study plan to become a software engineer.

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

conics

An interactive conic visualization app used to record this video.

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

course-collaboration-travel-plans

cs231n

cs231n assignments

cspn

Convolutional Spatial Propagation Network

cspn_monodepth

Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network

cudapcl

depth image processing using CUDA