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3d-multi-object-detection-and-tracking

Multi-Object Detection and Tracking for Autonomous Driving / Robot Perception

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

adaptconfbytetrack

Source code for paper "Adaptive Confidence Threshold for ByteTrack in Multi-Object Tracking"

autowarearchitectureproposal.proj

This is the source code of the feasibility study for Autoware architecture proposal.

awesome-multimodal-object-tracking

A personal investigative project to track the latest progress in the field of multi-modal object tracking.

awesome-multiple-object-tracking

Resources for Multiple Object Tracking (MOT)

awesome-point-clouds

Awesome paper/code for point clouds with deep learning methods in detection and tracking

awesome-trajectory-motion-prediction-papers

bevcar

Camera-Radar Fusion for BEV Map and Object Segmentation

bevfusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

bevperception-survey-recipe

Awesome BEV perception papers and cookbook for achieving SOTA results

btcdet-aaai22-

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

casa

A Cascade Attention Network for 3D Object Detection from LiDAR point clouds

coda_neurips2023

Official code for NeurIPS2023 paper: CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection

codedvtr-cvpr22-

code of [CVPR22] CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance

codeformer-nips22-

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

crosspoint-cvpr22-

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

ctracker

cvml_project

Projects and application using computer vision and machine learning

cvpr-2023-papers

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. A star in the development of visual intelligence!

cvpr2023-3d-occupancy-prediction

CVPR2023-Occupancy-Prediction-Challenge

deep-reinforcement-learning-for-visual-object-tracking-in-videos

paper implementation for the Machine Learning for Computer Vision lecture

deep_mdp

Deep MDP

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

depthmot

detzero-arxiv2023-

DetZero

dgcnn

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

divide-and-merge-lidar-panoptic-cluster

A LiDAR point cloud cluster for panoptic segmentation