Nan Yang

According to our database, Nan Yang authored at least 17 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions.

Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers

Int. J. Comput. Vis., April, 2025

2024

FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions.

Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Incremental Dense Reconstruction From Monocular Video With Guided Sparse Feature Volume Fusion.

Xingxing Zuo, Nan Yang, Nathaniel Merrill, Binbin Xu, Stefan Leutenegger

IEEE Robotics Autom. Lett., June, 2023

Behind the Scenes: Density Fields for Single View Reconstruction.

Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering.

Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers

CoRR, 2022

2021

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

Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

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

Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels.

Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

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

Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization.

Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

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

Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers

CoRR, 2019

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

Eunah Jung, Nan Yang, Daniel Cremers

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

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

Nan Yang, Rui Wang, Xiang Gao, Daniel Cremers

IEEE Robotics Autom. Lett., 2018

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

Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Feature-based or Direct: An Evaluation of Monocular Visual Odometry.

Nan Yang, Rui Wang, Daniel Cremers

CoRR, 2017