ElizabethSF

ElizabethSF's Stars

• fudan-zvg/GS-LiDAR

  [ICLR 2025] GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting

  Language:Python531

• ywher/SAM4UDASS

  SAM for unsupervised domain adaptive semantic segmentation

  Language:Jupyter Notebook211

• ywher/TUFL

  The implementation of my paper "Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation"

  Language:Python134

• caizhongang/waymo_kitti_converter

  A toolkit for Waymo Open Dataset <-> KITTI conversions

  Language:Python16131

• VisualComputingInstitute/ShapePriors_GCPR16

  Language:C++487

• Merealtea/Mono3d

  Language:Python21

• yuxumin/PoinTr

  [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

  Language:Python666113

• HengyiWang/Co-SLAM

  [CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM

  Language:Python43540

• AIR-DISCOVER/LODE

  [ICRA 2023] LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR

  Language:Python1594

• jianglongye/implicit-tracking

  Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild, RA-L 2022

  Language:Python312

• qintonguav/ParkingE2E

  Language:Python38581

• prs-eth/Dynamic-LiDAR-Resimulation

  [CVPR 2024, highlight] Dynamic LiDAR Re-simulation using Compositional Neural Fields

  Language:Python845

• PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving

  3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

  57268

• jiamiya/HOPE

  Reinforcement Learning-based Hybrid Policy Path Planning in Diverse Parking Scenarios

  Language:Python279

• ywher/SS-ADA

  The official code for my paper SS-ADA

  Language:Python111

• tusen-ai/LiDAR_SOT

  Language:Python11918

• facontidavide/CPP_Optimizations_Diary

  Tips and tricks to optimize your C++ code

  Language:C++1.2k85

• lkeab/gsnet

  Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.

  Language:Python15725

• Ghostish/Open3DSOT

  Open source library for Single Object Tracking in point clouds.

  Language:Python26441

• praveen-palanisamy/multiple-object-tracking-lidar

  C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

  Language:C++819228

• Livox-SDK/livox_detection_simu

  Trained on Simulated Data, Tested in the Real World

  Language:Python8310

• weili1457355863/OD_AVI

  2

• telmo-correa/all-of-statistics

  Self-study on Larry Wasserman's "All of Statistics"

  Language:Jupyter Notebook1.1k286

• bannedbook/fanqiang

  翻墙-科学上网

  Language:Kotlin39.4k7.3k

• Pointcept/Pointcept

  Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)

  Language:Python1.9k219

• HMX2013/CH-MOA-ROS

  A ROS implementation of "An Efficient Convex Hull-Based Vehicle Pose Estimation Method for 3D LiDAR"

  Language:C++152

• HMX2013/RANSAC-L-Shape-Fitting

  An ROS implementation of "L-Shape Fitting-Based Vehicle Pose Estimation and Tracking Using 3D-LiDAR"

  Language:C++345

• jiaweizzhao/GaLore

  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

  Language:Python1.5k153

• ethz-asl/dynablox

  Real-time detection of diverse dynamic objects in complex environments.

  Language:C++48662

• All-Hands-AI/OpenHands

  🙌 OpenHands: Code Less, Make More

  Language:Python51.1k5.6k