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Short Bio

On 27th March 2020, I defended my PhD thesis (online) at the Department of Computer Science, Norwegian University of Science and Technology, supervised by Prof. F. A. Cheikh, Prof. O. J. Elle and Prof. A. Beghdadi. Before that, I received a Bachelor degree in electronic engineering from Shandong University (Jinan, China) in 2011 and a master degree in Erasmus Mundus master programme of media technology from CIMET (Colour in Informatics and Media Technology) in 2014. Before joining the Norwegian Colour and Visual Computing Laboratory at NTNU in 2016, I worked in the R&D institute of Ericsson China as a telecommunication engineer. Therefore, I hold knowledge in optics, color science, spectral imaging, hardware, signal processing, computer vision and image processing algorithms. Though those topics are diverse, they are all necessary for a better machine vision.

My goal is to using computer vision/image processing techniques to solve real-world problems. My research interests include image processing, medical image analysis, computer vision and applied deep learning. Especially, I would like to work more on 3D reconstruction and understanding for computer/machine vision.

I am open to collaborations for new research ideas and open-source projects. Interested? The best way to reach me is via Email or Linkedin.

Publications

Adaptive context encoding module for semantic segmentation
Congcong Wang , Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jakob Elle.
[Paper] [Presentation]
In Electronic Imaging 2020: Image Processing: Algorithms and Systems. Society for Imaging Science and Technology, 2020.

Multiscale deep desmoking for laparoscopic surgery.
Congcong Wang *, Ahmed Kedir Mohammed*, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle. (* denotes equal contribution.)
[Paper] [Presentation][Source code]
In Medical Imaging 2019: Image Processing. International Society for Optics and Photonics, 2019.

Generative Smoke Removal.
Oleksii Sidorov, Congcong Wang , Faouzi Alaya Cheikh.
[Paper][Source code]
NeurIPS ML4H 2019 workshop, 2019

Variational based smoke removal in laparoscopic images.
Congcong Wang , Faouzi Alaya Cheikh, Mounir Kaaniche, Azeddine Beghdadi, Ole Jacob Elle.
[Paper] [Presentation]
Biomedical engineering online, 2018.

Liver surface reconstruction for image guided surgery.
Congcong Wang , Faouzi Alaya Cheikh, Mounir Kaaniche, Ole Jacob Elle.
[Paper] [Presentation]
In Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. International Society for Optics and Photonics, 2018.

Validation of stereo vision based liver surface reconstruction for image guided surgery.
Teatini Andrea* , Wang Congcong*, Palomar Rafael, Alaya Cheikh Faouzi, Beghdadi Azeddine, Edwin Bjørn, Elle Ole Jakob. (* denotes equal contribution.)
[Paper] [Presentation]
In Colour and Visual Computing Symposium. IEEE, 2018.

Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?
Congcong Wang*, Vivek Sharma*, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, Rainer Stiefelhagen. (* denotes equal contribution.)
[Paper] [Presentation]
In 26th Color and Imaging Conference. Society for Imaging Science and Technology, 2018.

Deep smoke removal from minimally invasive surgery videos.
Sabri Bolkar , Congcong Wang, Faouzi Alaya Cheikh, Sule Yildirim.
[Paper] [Source code]
In International Conference on Image Processing. IEEE, 2018.

Stereo video analysis for instrument tracking in image-guided surgery.
Congcong Wang , Rafael Palomar, Faouzi Alaya Cheikh.

In European Workshop on Visual Information Processing. IEEE, 2014.

A linear interpolation algorithm for spectral filter array demosaicking.
Congcong Wang , Xingbo Wang, Jon Yngve Hardeberg.

In International Conference on Image and Signal Processing. IEEE, 2014.


Others

Presentation on PhD thesis defense "Intra-operative Image Enhancement and Registration for Image Guided Laparoscopic Liver Resection"
[Slides][Recorded Presentation]

Presentation on "Use of Deep Learning for Image/Video Compression" (Trial Lecture Topic for PhD defense)
[Slides][Recorded Presentation]

Last updated date: Apr. 2020.