Pinned Repositories
BAM
Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022).
CloserLook3D
A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
deepgmr
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
DH3D
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
FuRPE
MinkLocMultimodal
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
MOCO-Subtomograms
Subtomograms classification with unsupevised learning
OLD_Net_release
This is the official resources for ECCV 2022 paper "Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image"
RPR-Net_release
FANzhaoxin666's Repositories
FANzhaoxin666/OLD_Net_release
This is the official resources for ECCV 2022 paper "Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image"
FANzhaoxin666/RPR-Net_release
FANzhaoxin666/BAM
Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022).
FANzhaoxin666/CloserLook3D
A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
FANzhaoxin666/deepgmr
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
FANzhaoxin666/DH3D
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
FANzhaoxin666/FuRPE
FANzhaoxin666/MinkLocMultimodal
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
FANzhaoxin666/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
FANzhaoxin666/MOCO-Subtomograms
Subtomograms classification with unsupevised learning
FANzhaoxin666/mprm
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
FANzhaoxin666/object-deformnet
FANzhaoxin666/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
FANzhaoxin666/pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
FANzhaoxin666/smplify-x
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
FANzhaoxin666/SPRIN
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
FANzhaoxin666/SVTNet
Official implement for AAAI2022 "SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition"
FANzhaoxin666/ttt
FANzhaoxin666/Weakly-Supervised-3D-Object-Detection
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
FANzhaoxin666/zhaoxin-team
FANzhaoxin666/-
对抗性分析机试题
FANzhaoxin666/16720B-Fall2019
Computer Vision (16-720B), CMU
FANzhaoxin666/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
FANzhaoxin666/CapelliniSpTRSV
A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs
FANzhaoxin666/HKUST-COMP5421-Computer-Vision
FANzhaoxin666/nut_distance
FANzhaoxin666/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
FANzhaoxin666/Radam_pytorch_classification
Radam implementation with pytorch in classification
FANzhaoxin666/votenet
Deep Hough Voting for 3D Object Detection in Point Clouds
FANzhaoxin666/Web-20
DL models with PyTorch for Web contents processing