Nan Yang / 杨楠

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.

News

Feb 2026: One paper accepted at CVPR 2026. Stay tuned for more details.
Mar 2025: Sonata accepted at CVPR 2025 as a Highlight.
Mar 2023: Behind the Scenes accepted at CVPR 2023.
Mar 2022: I've joined Reality Labs Research as a Research Scientist.
Dec 2021: TANDEM accepted at CoRL 2021 and won the Best Demo Award at 3DV 2021!
May 2021: Received Outstading Reviewer for CVPR 2021.

Publications

	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 Paper / Video
	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 Project / Paper
	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 Project / Paper
	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 Project / Paper
	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 Project / Paper
	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 Project / Paper
	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 Paper / Video
	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 Project / Paper
	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 Project / Paper

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

Workshop Organizer

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