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l1flattening

An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition

ladder-densenet

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

las2pcd

Convert .LAS point cloud to PCL-compatible .PCD format

lasagne

Lightweight library to build and train neural networks in Theano

laszip

learn_dl

Deep learning algorithms source code for beginners

learn_hook

learning2adaptforstereo

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

learnviorb

leastereo

An end-to-end nas stereo matching network.

lecarm

leetcode

LeetCode算法题典

lego

LEGO: Learning Edge with Geometry all at Once by Watching Videos

leo

Implementation of Meta-Learning with Latent Embedding Optimization

lgc-tensorflow

We propose to exploit nearby and farther clues available from image and disparity domains to obtain a more accurate confidence estimation. While local information is very effective for detecting high frequency patterns, it lacks insights from farther regions in the scene. On the other hand, enlarging the receptive field allows to include clues from farther regions but produces smoother uncertainty estimation, not particularly accurate when dealing with high frequency patterns. For these reasons, we propose a multi-stage cascaded network to combine the best of the two worlds.

lib_2d

A c++ library for paths defined by points within the 2d space

libcv

Library for basic computer vision tasks.

libelas

Fork of libelas for ASRL

libelas-gpu

Implementation of LIBELAS in cuda.

libgdx

Desktop/Android/HTML5/iOS Java game development framework

libpnmio

C library for reading and writing PNM (PBM/PGM/PPM) and PFM images.

librealsense

Intel® RealSense™ SDK

libsgm

Stereo Semi Global Matching by cuda

libsvm

libviso2

libviso2-1

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785

liegroups

Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch

lift

Code release for the ECCV 2016 paper