Dai-z

Dai-z's Stars

• rohanpsingh/mc_mujoco

  MuJoCo interface for mc-rtc

  Language:C++7718

• tum-vision/LDSO

  DSO with SIM(3) pose graph optimization and loop closure

  Language:C++657235

• iptv-org/iptv

  Collection of publicly available IPTV channels from all over the world

  Language:JavaScript84.9k2.5k

• TRI-ML/DDAD

  Dense Depth for Autonomous Driving (DDAD) dataset.

  Language:Python48957

• eric-yyjau/pytorch-superpoint

  Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

  Language:Jupyter Notebook786166

• rpautrat/SuperPoint

  Efficient neural feature detector and descriptor

  Language:Jupyter Notebook1.9k416

• abenbihi/elf

  Official repo for `ELF: Embedded Localisation of Features in pre-trained CNN' (ICCV19)

  Language:Python284

• DuaneNielsen/keypoints

  Unsupervised learning of Object Landmarks through Conditional Image Generation

  Language:Python467

• fangchangma/self-supervised-depth-completion

  ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

  Language:Python625136

• XinJCheng/CSPN

  Convolutional Spatial Propagation Network

  Language:Python49793

• gengshan-y/high-res-stereo

  Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.

  Language:Python41481

• spring2go/cs_study_plan

  一份硬核(hardcore)计算机科学CS自学计划，偏向软件工程和系统架构方向

  4k477

• profLewis/geogg122

  Scientific Computing

  Language:Jupyter Notebook5144

• MPI-IS/Grassmann-Averages-PCA

  Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings

  Language:C++294

• zzangjinsun/NLSPN_ECCV20

  Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

  Language:Python32256

• fangchangma/sparse-to-dense.pytorch

  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

  Language:Python445100

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.1k953

• fangchangma/sparse-to-dense

  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

  Language:Lua41395

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.1k685

• corenel/zju-thesis

  LaTeX template for ZJU graduate student.

  Language:TeX72

• skychan/write_with_LaTeX

  A useful LaTeX template

  Language:TeX369

• timy90022/One-Shot-Object-Detection

  Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

  Language:Python42383

• apache/tvm

  Open deep learning compiler stack for cpu, gpu and specialized accelerators

  Language:Python11.7k3.5k

• STVIR/pysot

  SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

  Language:Python4.4k1.1k

• facebookresearch/pycls

  Codebase for Image Classification Research, written in PyTorch.

  Language:Python2.1k238

• poloclub/cnn-explainer

  Learning Convolutional Neural Networks with Interactive Visualization.

  Language:JavaScript8k1.2k

• leandromoreira/ffmpeg-libav-tutorial

  FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷

  Language:C9.9k956

• corenel/gitea-server

  Configurations and scripts for self-built gitea server.

  Language:Python2

• corenel/zju-beamer-theme

  Beamer theme for oral defense in Zhejiang University.

  Language:TeX202

• yangxue0827/R2CNN_FPN_Tensorflow

  R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

  Language:Python419139