Jason Zhaoxin Fan's repositories

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"

BAM

Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022).

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

CloserLook3D

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

deepgmr

PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)

Language:PythonLicense:NOASSERTIONStargazers:1Issues:1Issues:0

DH3D

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0
Language:PythonStargazers:1Issues:0Issues:0

MinkLocMultimodal

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Language:PythonLicense:NOASSERTIONStargazers:1Issues:0Issues:0

MOCO-Subtomograms

Subtomograms classification with unsupevised learning

Language:PythonStargazers:1Issues:0Issues:0

mprm

Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds

License:MITStargazers:1Issues:0Issues:0
License:MITStargazers:1Issues:0Issues:0

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

License:NOASSERTIONStargazers:1Issues:0Issues:0

pvcnn

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

License:MITStargazers:1Issues:0Issues:0

smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

License:NOASSERTIONStargazers:1Issues:0Issues:0

SPRIN

PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features

Language:PythonStargazers:1Issues:1Issues:0

SVTNet

Official implement for AAAI2022 "SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition"

License:MITStargazers:1Issues:0Issues:0
Stargazers:1Issues:0Issues:0

Weakly-Supervised-3D-Object-Detection

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

License:MITStargazers:1Issues:0Issues:0
Language:SCSSLicense:BSD-3-ClauseStargazers:1Issues:0Issues:0

-

对抗性分析机试题

Language:PythonStargazers:0Issues:2Issues:0

16720B-Fall2019

Computer Vision (16-720B), CMU

Stargazers:0Issues:0Issues:0

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

License:MITStargazers:0Issues:0Issues:0

CapelliniSpTRSV

A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs

License:MITStargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

License:MITStargazers:0Issues:0Issues:0

Radam_pytorch_classification

Radam implementation with pytorch in classification

Stargazers:0Issues:0Issues:0

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

License:MITStargazers:0Issues:0Issues:0

Web-20

DL models with PyTorch for Web contents processing

Language:Jupyter NotebookStargazers:0Issues:0Issues:0