Nan Xue I'm a staff research scientist at Ant Research. My current research mainly lies on developing general learning algorithms for the computation of structured visual geometry in computer vision. Here is a research statement about my work. My profile photo is computed by my HAWPv3. Google Scholar / Github / Email |
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Recent News
2024. 12: | The paper, PlanarSplatting for indoor scene reconstruction, is available on arXiv. |
2024. 08: | Served as an Area Chair for WACV 2025. |
2024. 04: | SAGE has been selected as an oral paper, and SpatialTracker has been selected as a highlight at CVPR 2024. |
2024. 03: | Four papers (NEAT, SpatialTracker, SAGE, MvaCon) are accepted to CVPR 2024. |
2023. 09: | Two papers (NOPE-SAC and HAWP) are accepted to IEEE TPAMI. Congrats to Bin Tan for his first PAMI paper! |
Selected Publications






NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2023

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2023










Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021


Unmixing Convolutional Features for Crisp Edge Detection
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021

Learning Regional Attraction for Line Segment Detection
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021


A Functional Representation for Graph Matching
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020




Learning to Calibrate Straight Lines for Fisheye Image Rectification
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019



Anisotropic-Scale Junction Detection and Matching for Indoor Images
IEEE Trans. on Image Processing (TIP), 2018