We are Urban Spatial Intelligence (USI) Research Group at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. We focus on 3D Computer Vision, particularly including 3D reconstruction, scene understanding, and point cloud processing as well as their applications in intelligent transportation system, digital twin cities, urban sustainable development, and robotics. Check our works by topic:
Public datasets (click to expand):
- 📂 WHU-TLS
: TLS PC registration benchmark covering 11 scenarios;
- 📂 WHU-Helmet
: A helmet-based multi-sensor SLAM benchmark;
- 📂 WHU-Urban-3D : ALS/MLS semantic/instance segmentation benchmark;
- 📂 WHU-Railway3D
: Semantic segmentation benchmark for railway scenario;
Point Cloud Registration (click to expand):
- 📂 BSC (ISPRS J'17)
: A handcrafted point cloud local descriptor utilizing CPU;
- 📂 YOHO (ACM MM'22)
: A learning-based point cloud local rotation-equivariant descriptor;
- 📂 RoReg (TPAMI'23)
: Utilizing rotation-equivariance in the whole pipeline of pairwise registration;
- 📂 SGHR (CVPR'23)
: A simple multiview pc registration baseline;
- 📂 MSReg (IEEE TGRS'24)
: Fast 4DOF registration of MLS and stereo point clouds;
Image-to-point cloud Registration (click to expand):
- 📂 FreeReg (ICLR'24)
: FreeReg extracts cross-modality features from pretrained diffusion models and monocular depth estimators for accurate zero-shot image-to-point cloud registration;
- 📂 CoFiI2P (Arxiv'23)
: CoFiI2P is a coarse-to-fine framework for image-to-point cloud registration task;
Point Cloud Upsampling (click to expand):
- 📂 PC2-PU (ACM MM'22)
: A transformer-based point cloud upsampling baseline;
Point Cloud / Depth Completion (click to expand):
- 📂 KT-Net (AAAI'23)
: A transformer-based point cloud completion baseline;
- 📂 SparseDC (Information Fusion'24)
: Depth Completion from sparse and non-uniform inputs;
- 📂 EGIInet (ECCV'24)
: Single view image guided point cloud completion framework;
Point Cloud Localization (click to expand):
- 📂 PatchAugNet (ISPRS J'23)
: A cross-platform pc localization baseline;
- 📂 LAWS (ISPRS J'24)
: Regard point cloud localization as a classification problem;
Normal Estimation (click to expand):
- 📂 AdaFit (ICCV'21)
: Rethinking pc normal estimation;
Object Detection (click to expand):
- 📂 ME-Net (JAG'23)
: Objection detection utilizing both image and Lidar from mobile platform;
Image / Point Cloud Semantic Segmentation (click to expand):
- 📂 Mobile-Seed (RAL'24)
: An online framework for simultaneous semantic segmentation and boundary detection on compact robots;
Urban Morphology & Sustainable Development (click to expand):
- 📂 3DBIE-SolarPV (Applied Energy‘24)
: City-scale solar PV potential estimation on 3D buildings using multi-source RS data: A case study in Wuhan, China;
