alliecc

argoverse_baselinetracker

Baseline tracker code release for the paper Argoverse: 3D Tracking and Forecasting With Rich Maps, CVPR 2019.

HyperMap-Offline-3D-Feature-Map-for-Monocular-Camera-Registration

compressive_benchmark

This repo contains the released version of code and datasets used for our IROS 2021 paper: "Map Compressibility Assessment for LiDAR Registration.

NeRF-LiDAR-cGAN

This is the repo for the following paper: Ming-Fang Chang, Akash Sharma, Michael Kaess, and Simon Lucey. Neural Radiance Fields with LiDAR Maps. ICCV 2023

AB3DMOT

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking"

alliecc.github.io

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

argoverse-api

Official GitHub repository for Argoverse dataset

caffe

Caffe: a fast open framework for deep learning.

cmu-vision.github.io

D3Feat

Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

D3Feat.pytorch

[PyTorch] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

edge3d-paper

Source code for paper "Occlusions are Fleeting: Texture is Forever" by Ham et al.

FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Lena_Swift

Example of the Assignment 0 solution using Swift

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

nettailor

Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."

PointNetLK

PointRCNN

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

PWC-Net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

second.pytorch

SECOND for KITTI/NuScenes object detection

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)