Wei Liu

Caffe: a fast open framework for deep learning.

http://host.robots.ox.ac.uk/pascal/VOC/index.html

PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

No description provided.

LeetCode Problems' Solutions

MS COCO API - http://mscoco.org/

No description provided.

vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.

SelectiveSearch code for Object Detection

http://web.engr.illinois.edu/~dhoiem/projects/detectionAnalysis/

A simple, concise, and Pythonic computer vision toolkit.

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

This is currently an experimental refactoring of Caffe.

No description provided.

deformable part model for detection in video

Ensemble of Exemplar-SVMs for Object Detection and Beyond

A simple framework to manage Mechanical Turk jobs.

No description provided.

Deep Residual Learning for Image Recognition

Open source software library for numerical computation using data flow graphs.

Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.

R-CNN: Regions with Convolutional Neural Network Features

Solutions for the book: Cracking the coding interview V4. Written in C++.

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Collection and a development kit of matlab mex functions for OpenCV library

SSE2 Optimized GLSL-like math library

The Release Code for our CVPR 2013 Submission "Self-paced learning for long-term tracking".