Efkleidis Katsaros
Employment
Keywords Help
- multi-task learning
- coarse-to-fine
- computer vision
- deblurring, denoising, multi-task learning, video enhancement
- deep learning
- dental interventions
- low-latency video denoising, real-time, poisson-gaussian noise, gaussian noise
- motion estimation
- multi-task learning, instrument segmentation, video deblurring, dental microscope, spatio-temporal features
- vehicle re-identification
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
- efkleidis.katsaros@pg.edu.pl
Publication showcase
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BP-EVD: Forward Block-Output Propagation for Efficient Video Denoising
Denoising videos in real-time is critical in many applications, including robotics and medicine, where varying light conditions, miniaturized sensors, and optics can substantially compromise image quality. This work proposes the first video denoising method based on a deep neural network that achieves state-of-the-art performance on dynamic scenes while running in real-time on VGA video resolution with no frame latency. The backbone...
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Multi-task Video Enhancement for Dental Interventions
A microcamera firmly attached to a dental handpiece allows dentists to continuously monitor the progress of conservative dental procedures. Video enhancement in video-assisted dental interventions alleviates low-light, noise, blur, and camera handshakes that collectively degrade visual comfort. To this end, we introduce a novel deep network for multi-task video enhancement that enables macro-visualization of dental scenes. In particular,...
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Concurrent Video Denoising and Deblurring for Dynamic Scenes
Dynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning pixel-to-pixel mappings, which is commonly enhanced by larger region awareness. This is a difficult yet simplified scenario because noise is neglected when it is omnipresent in a wide...
General description
Efklidis Katsaros received the B.Sc. degree in mathematics from the Aristotle University of Thessaloniki, Greece, in 2016, and the M.Sc. degree (cum laude) in data science: statistical science from Leiden University, The Netherlands, in 2019. He is currently pursuing the Ph.D. degree in deep video multi-task learning with the Department of Biomedical Engineering, Gdańsk University of Technology, Poland. Since 2020, he has been a Researcher at the Cameras and Algorithms Laboratory, at the Gdańsk University of Technology. His main research interests include multi-task learning, neural architecture search and video processing.
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