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Wang Pengfei's Projects

l1flattening icon l1flattening

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

lambda-networks icon lambda-networks

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

las2pcd icon las2pcd

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

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

learn_dl icon learn_dl

Deep learning algorithms source code for beginners

lego icon lego

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

leo icon leo

Implementation of Meta-Learning with Latent Embedding Optimization

lgc-tensorflow icon 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 icon lib_2d

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

libcv icon libcv

Library for basic computer vision tasks.

libgdx icon libgdx

Desktop/Android/HTML5/iOS Java game development framework

libpnmio icon libpnmio

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

libsgm icon libsgm

Stereo Semi Global Matching by cuda

lidar_camera_calibration icon 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 icon liegroups

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

lift icon lift

Code release for the ECCV 2016 paper

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