Nan Yang

About

I'm a Research Scientist at Meta Reality Labs Research working on Spatial AI research. I pursued my PhD at Technical University of Munich (TUM), supervised by Prof. Daniel Cremers. During my PhD, I was also a senior computer vision engineer at Artisense, a startup co-founded by Prof. Cremers. Prior to my PhD, I obtained my Master's degree at TUM and my Bachelor's degree at Beijing University of Posts and Telecommunications.

Updates

News

Jun 2026EgoExoMoCap is accepted at ECCV 2026.
Apr 2026LAMP accepted at CVPR 2026.
Mar 2025Sonata accepted at CVPR 2025 as a Highlight.
Mar 2023Behind the Scenes accepted at CVPR 2023.
Mar 2022I've joined Reality Labs Research as a Research Scientist.
Dec 2021TANDEM accepted at CoRL 2021 and won the Best Demo Award at 3DV 2021.
May 2021Received Outstanding Reviewer for CVPR 2021.

Selected Work

Publications

N. Yang, J. Straub, F. Zhang, R. Newcombe, J. Engel, and L. Ma

LAMP: Localization Aware Multi-camera People Tracking in Metric 3D World

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026

Project Video Code

X. Wu, D. DeTone, D. Frost, T. Shen, C. Xie, N. Yang, J. Engel, R. Newcombe, H. Zhao, and J. Straub

Sonata: Self-Supervised Learning of Reliable Point Representations

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Highlight

Project Paper Code

F. Wimbauer, N. Yang, C. Rupprecht, and D. Cremers

Behind the Scenes: Density Fields for Single View Reconstruction

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Project Paper Code Video

X. Zuo, N. Yang, N. Merrill, B. Xu, and S. Leutenegger

Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion

IEEE Robotics and Automation Letters (RA-L), 2023

L. Köstler*, N. Yang*, N. Zeller, and D. Cremers (*equal contribution)

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

Conference on Robot Learning (CoRL), 2021

Best Demo Award at 3DV 2021

Project Paper Code Video

F. Wimbauer*, N. Yang*, N. Zeller, and D. Cremers (*equal contribution)

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Project Paper Code Video

L. von Stumberg, P. Wenzel, N. Yang, and D. Cremers

LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization

International Conference on 3D Vision (3DV), 2020

P. Wenzel, R. Wang, N. Yang, Q. Khan, Q. Cheng, L. von Stumberg, N. Zeller, and D. Cremers

4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving

German Conference on Pattern Recognition (GCPR), 2020

L. Köstler, N. Yang, R. Wang, and D. Cremers

Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels

German Conference on Pattern Recognition (GCPR), 2020

N. Yang, L. von Stumberg, R. Wang, and D. Cremers

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Oral Presentation

R. Wang, N. Yang, J. Stückler, and D. Cremers

DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation

IEEE International Conference on Robotics and Automation (ICRA), 2020

E. Jung*, N. Yang*, and D. Cremers (*equal contribution)

Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light

Conference on Robot Learning (CoRL), 2019

Full Oral Presentation

N. Yang, R. Wang, J. Stückler, and D. Cremers

Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

European Conference on Computer Vision (ECCV), 2018

Oral Presentation

N. Yang*, R. Wang*, X. Gao, and D. Cremers (*equal contribution)

Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect

IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS), 2018

Community

Reviewer

Computer Vision: CVPR, ECCV, ICCV, T-PAMI
Machine Learning: ICLR, AAAI, NeurIPS, PR
Robotics: ICRA, IROS, RA-L, AURO, ISPRS, T-RO
Computer Graphics: SIGGRAPH

Organization

Workshops

Map-based Localization for Autonomous Driving Workshop, ICCV 2021
Map-based Localization for Autonomous Driving Workshop, ECCV 2020