Chan Ming (sunstarchan)

sunstarchan

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Chan Ming's repositories

autograph-pub

Repository for the publication "AutoGraph: Predicting Lane Graphs from Traffic"

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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ColossalAI

Making big AI models cheaper, easier, and scalable

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DeepLSD

Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"

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DriveLM

DriveLM: Drive on Language

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Fast-BEV

Fast-BEV: Towards Real-time On-vehicle Bird’s-Eye View Perception

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Fast-Planner

A Robust and Efficient Trajectory Planner for Quadrotors

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Hierarchical-Localization

Visual localization made easy with hloc

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HiVT

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

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lanegnn

[CVPR 2023] Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach

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LENet

LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

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MetaBEV

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation

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MonoScene

MonoScene: Monocular 3D Semantic Scene Completion. CVPR 2022

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occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

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Online-HD-Map-Construction-CVPR2023

Online HD Map Construction CVPR2023

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OpenOccupancy

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

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PointNeXt

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

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PWC-Net

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

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pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

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RNGDetPlusPlus

Official repo of paper RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement

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TNT-Trajectory-Prediction

A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

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UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

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VAD

[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

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vectormapnet

VectorMapNet: End-to-end Vectorized HD map learning

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VOLDOR

VOLDOR-SLAM is a real-time dense-indirect SLAM system takes dense optical flows as input that supports monocular, stereo and RGB-D video sequence.

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