guangmingw

guangmingw's Stars

• yfeng95/SCARF

  Language:Python250171610

• IRMVLab/RegFormer

  [ICCV2023]RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration

  Language:Python931165

• guangmingw/DOPlearning

  Code for T-ITS paper "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry" and for ICRA paper "Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks".

  Language:Python815813

• conorhennessy/SLAM-Course-Solutions

  Solutions to assignments for Robot Mapping / SLAM Course WS 2013/14, Uni of Freiburg. Please see to linked website and README for YouTube videos & further resources.

  Language:MATLAB772421

• IRMVLab/EfficientLO-Net

  EfficientLO-Net: Efficient 3D Deep LiDAR Odometry (PAMI 2022)

  Language:Python66044

• IRMVLab/PWCLONet

  Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"

  Language:Python60467

• IRMVLab/3DFlow

  Codes for ECCV2022 paper "What matters in supervised 3D scene flow"

  Language:Python43244

• IRMVLab/RLSAC

  This is the official code repository for the ICCV2023 paper RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation.

  22330

• IRMVLab/HALFlow

  Codes for TIP2021 paper "Hierarchical Attention Learning of Scene Flow in 3D Point Clouds"

  Language:Python16111

• IRMVLab/I2PNet

  Codes for "End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization"

  13510

• IRMVLab/DELFlow

  [ICCV 2023] DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds

  Language:Python12300

• IRMVLab/Pseudo-LiDAR-for-Visual-Odometry

  Language:Python9020

• IRMVLab/NccFlow

  Codes for T-ITS 2022 paper "Unsupervised Learning of Optical Flow With Non-occlusion from Geometry"

  Language:Python8012

• IRMVLab/3DUnMonoFlow

  Codes for ICRA2021 paper "Unsupervised Learning of 3D Scene Flow from Monocular Camera"

  Language:Python5514

• IRMVLab/ASTA3DConv

  Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

  Language:Python5000

• IRMVLab/BCLearning

  Codes of TNNLS2022 paper "Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers"

  Language:Python5000

• IRMVLab/HRANet

  Codes for TCSVT2022 paper "3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose fromMonocular Video"

  Language:Python5011

• IRMVLab/SFGAN

  SFGAN: Unsupervised generative adversarial learning of 3D scene flow from the 3D scene self (Advanced Intelligent Systems 2022)

  Language:Python5000

• IRMVLab/3DSF-PL

  3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion (TII 2022)

  Language:Python400

• guangmingw/3DUnMonoFlow

  Codes for ICRA2021 paper "Unsupervised Learning of 3D Scene Flow from Monocular Camera"

  3200

• IRMVLab/CARFlow

  Codes for TIM 2022 paper "Residual 3D Scene Flow Learning with Context-Aware Feature Extraction"

  Language:Python3000

• IRMVLab/DetFlowTrack

  Codes for "DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation"

  Language:Python2000

• IRMVLab/InterMOT

  Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking (TITS 2023)

  Language:Python2000

• IRMVLab/SIConv

  IEEE TRANSACTIONS ON CYBERNETICS 2021 paper "Spherical Interpolated Convolutional Network With Distance–Feature Density for 3-D Semantic Segmentation of Point Clouds"

  Language:Python2000

• IRMVLab/DOPlearning

  Code for "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry"

  Language:Python110

• IRMVLab/MPC-VB-3DPose

  IEEE Transactions on Cognitive and Developmental Systems, 2022 paper "Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos"

  Language:Python100

• zhangciiiii/AU332-Artificial-Intelligence-Principles-and-Techniques

  the homework, reports, and projects of AU 332 in SJTU

  Language:Python1200