Nan Yang / 杨楠

I’m a final-year PhD student at Technical University of Munich (TUM), supervised by Prof. Daniel Cremers. In the meanwhile, I’m also a senior computer vision & AI engineer at Artisense, a startup co-founded by Daniel. Prior to my PhD, I obtained my Master’s degree at TUM and my Bachelor’s degree at Beijing University of Posts and Telecommunications.

My research interest is to leverage the power of Deep Neural Networks to overcome the limitations in traditional 3D computer vision and visual SLAM, such as visual odometry, relocalization, and dense mapping.

News

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.
Dec 2020: Finished my internship at Reality Labs.
May 2018: Started PhD at CVAI of TUM supervised by Prof. Daniel Cremers.
Mar 2018: Joined Artisense as a senior computer vision & AI engineer.

Publications

	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* Paper / Code / YouTube / Project page
	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 Paper / Code / YouTube / Project page
	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 Paper / Project page
	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 Paper / Project page
	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 Paper / Project page
	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 Paper / Project page
	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 Paper / Project page
	E. Jung, N. Yang, and D. Cremers (*equal contribution) TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo Conference on Robot Learning (CoRL), 2019 Full Oral Presentation Paper / YouTube
	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 Paper / Project page
	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 Paper / Project page