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
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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
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MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
International Conference on 3D Vision (3DV), 2020
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4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
German Conference on Pattern Recognition (GCPR), 2020
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Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels
German Conference on Pattern Recognition (GCPR), 2020
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D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Oral Presentation
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DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
IEEE International Conference on Robotics and Automation (ICRA), 2020
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TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Conference on Robot Learning (CoRL), 2019
Full Oral Presentation
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Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
European Conference on Computer Vision (ECCV), 2018
Oral Presentation
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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
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Reviewer
- Computer Vision: CVPR, ECCV, ICCV
- Machine Learning: ICLR, AAAI, ICLR
- Robotics: ICRA, IROS, RA-L, AURO, ISPRS, T-RO
- Computer Graphics: SIGGRAPH