Stars
Skills for Real Engineers. Straight from my .claude directory.
(ICLR2025) Enhancing End-to-End Autonomous Driving with Latent World Model
A modular skill-based framework for writing, revising, and managing LaTeX academic papers with AI assistance.
Elevate your AI research writing, no more tedious polishing ✨
Predicting point-wise path loss through satellite images and height maps using deep learning.
Large-Scale Channel Prediction System | 1st Place at ICASSP 2023 Pathloss Radio Map Prediction Challenge
[NeurIPS 2025] Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning
The swiss army knife of lossless video/audio editing
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
The official PyTorch implementation of the paper: *Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma. "Fully Convolutional Line Parsing." *.
PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image
Implementation of the CVPR paper "Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks"
[CVPR 2025] Towards In-the-wild 3D Plane Reconstruction from a Single Image
[CVPR 2025 Best Paper Award Candidate & Oral] Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf
Neural Vanishing Point Scanning via Conic Convolution
Estimation of building heights with single street view images
Double 3 controller with RTC for ROS and ROS2
An open-sourced SLAM dataset that couples with BIM (Building Information Modeling).
Convolutional neural network for estimating radio maps in urban environments
WiFi RSSI Dataset from Mobile Robots in Indoor Environments