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对抗性分析机试题

16720b-fall2019

Computer Vision (16-720B), CMU

3dmfv-net

Point cloud classification in Real-time using 3DmFV representation and CNNs

academicpages.github.io

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

bam

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

capellinisptrsv

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

chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

closerlook3d

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

computer-vision-cmu-16720b

cylinder_fitting

Fit a set of 3D points to a cylinder surface.

deepgmr

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

dgcnn

dh3d

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

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

furpe

hkust-comp5421-computer-vision

icp

iterative closest point

kitti-2d-object-detection

The goal of this project is to detect objects from a number of object classes in realistic scenes for the KITTI 2D dataset.

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

mprm

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

nut_distance

object-deformnet

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

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"

pointnet_pointnet2_pytorch

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

pvcnn

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

radam_pytorch_classification

Radam implementation with pytorch in classification

rpr-net_release