Fengyi Shen

According to our database, Fengyi Shen authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation.

Fengyi Shen, Li Zhou, Kagan Kucukaytekin, Ziyuan Liu, He Wang, Alois C. Knoll

CoRR, 2024

2023

Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences.

Zador Pataki, Mohammad Altillawi, Menelaos Kanakis, Rémi Pautrat, Fengyi Shen, Ziyuan Liu, Luc Van Gool, Marc Pollefeys

CoRR, 2023

LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation.

Fengyi Shen, Zador Pataki, Akhil Gurram, Ziyuan Liu, He Wang, Alois C. Knoll

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation.

Fengyi Shen, Akhil Gurram, Ziyuan Liu, He Wang, Alois Knoll

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

2022

Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision.

Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen, Onay Urfalioglu, Antonio M. López

IEEE Trans. Intell. Transp. Syst., 2022

2021

TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation.

Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna, Onay Urfalioglu, Alois C. Knoll

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation.

Moritz Venator, Fengyi Shen, Selcuk Aklanoglu, Erich Bruns, Klaus-Jürgen Diepold, Andreas K. Maier

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.

Qin Wang, Fengyi Shen, Linyao Shen, Jia Huang, Weiguang Sheng

J. Digit. Imaging, 2019