Hello, I am Christos. I am a doctoral candidate at Computer Vision Lab, ETH Zurich, supervised by Prof. Luc Van Gool. My broad research fields are Computer Vision and Machine Learning, while my current focus is on Computer Vision for autonomous cars in adverse conditions, domain adaptation, and segmentation. Prior to joining Computer Vision Lab, I received my MSc in Computer Science from ETH Zurich in 2016 and my Diploma in Electrical & Computer Engineering from National Technical University of Athens in 2014, conducting my Diploma thesis at CVSP Group under the supervision of Prof. Petros Maragos.

Publications

Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
Christos Sakaridis, Dengxin Dai, and Luc Van Gool
International Conference on Computer Vision (ICCV), 2019
[PDF]   [Supplement]   [BibTeX]   [arXiv]   [Project]

Active Contour Methods on Arbitrary Graphs Based on Partial Differential Equations
Christos Sakaridis, Nikos Kolotouros, Kimon Drakopoulos, and Petros Maragos
in Handbook of Numerical Analysis, Volume 20: Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Ron Kimmel and Xue-Cheng Tai (Eds.), Ch. 4, pp. 149-190, Elsevier, 2019
[BibTeX]

Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
Dengxin Dai, Christos Sakaridis, Simon Hecker, and Luc Van Gool
International Journal of Computer Vision (IJCV), 2019
[PDF]   [BibTeX]   [arXiv]   [Project]
The PDF above is a post-peer-review, pre-copyedit version of the article published in IJCV. The final authenticated version is available online here.

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
Christos Sakaridis, Dengxin Dai, Simon Hecker, and Luc Van Gool
European Conference on Computer Vision (ECCV), 2018
[PDF]   [BibTeX]   [arXiv]   [Project]  
The final authenticated version is available online here.

Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, and Luc Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[arXiv]   [BibTeX]   [Code]

Semantic Foggy Scene Understanding with Synthetic Data
Christos Sakaridis, Dengxin Dai, and Luc Van Gool
International Journal of Computer Vision (IJCV), 2018
[PDF]   [Final PDF: view-only]   [BibTeX]   [arXiv]   [Project]  
The first PDF above is a post-peer-review, pre-copyedit version of the article published in International Journal of Computer Vision. The final authenticated version is available online here.

Theoretical Analysis of Active Contours on Graphs
Christos Sakaridis, Kimon Drakopoulos, and Petros Maragos
SIAM Journal on Imaging Sciences (SIIMS), 2017
[PDF]   [BibTeX]   [arXiv]   [Code]   [Project]