Caffe: a fast open framework for deep learning.

Point Cloud Library (PCL)

code for Holistically-Nested Edge Detection

Pyramid Scene Parsing Network, CVPR2017.

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

Caffe implementation of multiple popular object detection frameworks

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

RoIAlign & crop_and_resize for PyTorch

Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

Implementation of the Chamfer Distance as a module for pyTorch

CVPR2017 - an ultra-compact bilinear model for fine-grained classification

Learning Superpixels with Segmentation-Aware Affinity Loss

Fashion Cut in the Wild (Clothes Cutout System)

AutoDIAL Caffe Implementation

A compiler made in Bison, Flex and C++ which is made specifically for Decaf Programming Language