yifanzhang713

yifanzhang713's Stars

• The-Learning-And-Vision-Atelier-LAVA/ArbSR

  [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

  Language:Python30340

• lucasjinreal/CenterNet_Pro_Max

  Experiments based on CenterNet (more backbones, TensorRT deployment and mask head)

  22256

• facebookresearch/votenet

  Deep Hough Voting for 3D Object Detection in Point Clouds

  Language:Python1.7k376

• WeijingShi/Point-GNN

  Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

  Language:Python549114

• LordLiang/FVNet

  FVNet is proposed for 3D object front-view proposal generation and detection from point cloud

  Language:Python198

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.7k1.3k

• mit-han-lab/pvcnn

  [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

  Language:Python646130

• yqyao/FCOS_PLUS

  Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).

  Language:Python32146

• luuuyi/RefineDet.PyTorch

  A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection

  Language:Python23564

• godspeed1989/kitti-velodyne-viewer

  view kitti lidar point cloud with bounding box label

  Language:Python5534

• mileyan/Pseudo_Lidar_V2

  (ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

  Language:Python603126

• mileyan/pseudo_lidar

  (CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

  Language:Jupyter Notebook979216

• Angzz/awesome-panoptic-segmentation

  Panoptic Segmentation Resources List

  55299

• 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:Python3.2k690

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.4k1.9k

• nondanee/UnblockNeteaseMusic

  Revive unavailable songs for Netease Cloud Music

  Language:JavaScript17.4k2.5k

• Benzlxs/tDBN

  Language:Python5213

• happinesslz/TANet

  The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

  Language:Python25349

• QingyongHu/SoTA-Point-Cloud

  🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

  1.6k191

• V2AI/Det3D

  World's first general purpose 3D object detection codebse.

  Language:Python1.5k298

• vacancy/PreciseRoIPooling

  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).

  Language:C++772152

• Zzh-tju/DIoU

  Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

  Language:MATLAB31250

• demuxin/pytorch_tricks

  some tircks for PyTorch

  57888

• fatedier/frp

  A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

  Language:Go86.3k13.4k

• hkust-vgd/shellnet

  ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

  Language:Python8723

• PRBonn/lidar-bonnetal

  Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

  Language:Python958206

• beedotkiran/Lidar_For_AD_references

  A list of references on lidar point cloud processing for autonomous driving

  752219

• DylanWusee/pointconv

  Language:Python49598

• ericyi/GSPN

  GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

  Language:Python9119

• muhanzhang/DGCNN

  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

  Language:Matlab17444