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ZheJiang University
- Hangzhou
- https://qiukuz.github.io/
Stars
Common used path planning algorithms with animations.
[ICCV'23] Hidden Biases of End-to-End Driving Models
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again and A framework for Binary Segmentation Experienments
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
C++ Implementation of PyTorch Tutorials for Everyone
[CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.
[ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
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).
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
🛋️ [ICCV2023] RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing