JingyuChan

JingyuChan's Stars

• shadowsocks/shadowsocks-windows

  A C# port of shadowsocks

  Language:C#58.7k2.4k2.9k16.4k

• ApolloAuto/apollo

  An open autonomous driving platform

  Language:C++25.6k1.1k4.5k9.8k

• openMVG/awesome_3DReconstruction_list

  A curated list of papers & resources linked to 3D reconstruction from images.

  4.2k30514833

• tzutalin/awesome-visual-slam

  :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

  2.3k1256442

• caogang/wgan-gp

  A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

  Language:Python1.5k1656348

• tjwei/GANotebooks

  wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

  Language:Jupyter Notebook1.5k9813370

• soeaver/caffe-model

  Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

  Language:Python1.3k10783621

• microsoft/caffe

  Caffe on both Linux and Windows

  Language:C++1.2k134143477

• lmb-freiburg/flownet2

  FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

  Language:C++1k57218317

• RoboMaster/RoboRTS

  An open source software stack for Real-Time Strategy research on mobile robots

  Language:C++8628044350

• nebula-beta/SLAM-Jobs

  这个一份SLAM/SFM求职指南，旨在帮助视觉SLAM/SFM的小伙伴们能够找到更好的工作。

  41018281

• Huangying-Zhan/Depth-VO-Feat

  Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

  Language:Python353133566

• SnailTyan/caffe-model-zoo

  caffe pretrained models and prototxt

  317148198

• frobelbest/BANet

  Source Code for the Paper BA-Net: Dense Bundle Adjustment Network

  Language:Python304361121

• USTCPCS/CVPR2018_attention

  Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark

  1746138

• happynear/SpatialTransformerLayer

  Language:Protocol Buffer347018

• JingyuChan/awesome-object-proposals

  A curated list of object proposals resources for object detection

  1200