mrqrs

mrqrs's Stars

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.1k547

• ucla-mobility/V2V4Real

  [CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"

  Language:Python19913

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.4k411

• Fudan-ProjectTitan/OpenAnnotate3D

  OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data

  Language:Jupyter Notebook792

• Haiyang-W/UniTR

  [ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

  Language:Python29516

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  Language:Python3.6k410

• NVIDIA-AI-IOT/Lidar_AI_Solution

  A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

  Language:Python1.4k239

• kafeiyin00/WHU-HelmetDataset

  Werable Mapping Dataset

  Language:C++2216

• pengsida/learning_research

  本人的科研经验

  6.1k360

• dvlab-research/3D-Box-Segment-Anything

  We extend Segment Anything to 3D perception by combining it with VoxelNeXt.

  Language:Jupyter Notebook54225

• WHU-USI3DV/WHU-TLS

  [ESI highly cited] TLS point cloud registration benchmark consists of 115 scans collected from 11 different scenarios

  62

• WHU-USI3DV/SGHR

  [CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting

  Language:Python19716

• skyhehe123/MSF

  MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)

  Language:Python564

• Pointcept/Pointcept

  Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

  Language:Python1.7k187

• dvlab-research/VoxelNeXt

  VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

  Language:Python74065

• hailanyi/VirConv

  Virtual Sparse Convolution for Multimodal 3D Object Detection

  Language:Python28739

• mrqrs/CG-SSD

  Language:Python351

• dvlab-research/spconv-plus

  Language:Python1557

• TuSimple/centerformer

  Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

  Language:Python29428

• YoushaaMurhij/FMFNet

  Pytorch implementation for the paper: "FMFNet: Improve the 3D Object Detection and Tracking via Feature Map Flow" [IJCNN-2022]

  Language:Python383

• sshaoshuai/MTR

  MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

  Language:Python703115

• stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus

  Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

  Language:Python37973

• MCG-NJU/CamLiFlow

  [CVPR 2022 Oral & TPAMI 2023] Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion

  Language:Python22923

• dvlab-research/LargeKernel3D

  LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)

  Language:Python1979

• VISION-SJTU/PillarNet-LTS

  Language:Python20516

• fundamentalvision/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.

  Language:Python3.4k551

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55k15.9k

• dvlab-research/FocalsConv

  Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

  Language:Python36935

• tusen-ai/SST

  Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

  Language:Python806102

• isl-org/Open3D

  Open3D: A Modern Library for 3D Data Processing

  Language:C++11.6k2.3k