Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Melissa Cote"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2023, Iss 1, Pp 1-26 (2023)
Abstract This paper investigates deep learning (DL)-based semantic segmentation of textured mosaics. Existing popular datasets for mosaic texture segmentation, designed prior to the DL era, have several limitations: (1) training images are single-tex
Externí odkaz:
https://doaj.org/article/665573eac6504bd7913ba44964b9ad58
Autor:
Tunai Porto Marques, Melissa Cote, Alireza Rezvanifar, Alex Slonimer, Alexandra Branzan Albu, Kaan Ersahin, Stéphane Gauthier
Publikováno v:
IEEE Journal of Oceanic Engineering. :1-21
Autor:
Alex L. Slonimer, Melissa Cote, Tunai Porto Marques, Alireza Rezvanifar, Stan E. Dosso, Alexandra Branzan Albu, Kaan Ersahin, Todd Mudge, Stephane Gauthier
Publikováno v:
2022 19th Conference on Robots and Vision (CRV).
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
Journal of Electronic Imaging. 30
We describe a method for symbol spotting in born-digital architectural floor plans, which are a particularly challenging application domain of graphics recognition. We propose a hybrid method that capitalizes on strengths of both vector-based and pix
Autor:
Tunai Porto Marques, Alireza Rezvanifar, Stéphane Gauthier, Alexandra Branzan Albu, Todd Mudge, Melissa Cote, Kaan Ersahin
Publikováno v:
CVPR Workshops
This paper addresses the automatic identification of pelagic species in acoustic backscatter data. Large quantities of data acquired during underwater acoustic surveys for environmental monitoring and resources management, visualized as echograms, ar
Publikováno v:
IPSJ Transactions on Computer Vision and Applications, Vol 11, Iss 1, Pp 1-22 (2019)
This review paper offers a contemporary literature survey on symbol spotting in architectural drawing images. Research on isolated symbol recognition is quite mature; the same cannot be said for recognizing a symbol in context. One important challeng
Autor:
Alexandra Branzan Albu, Melissa Cote
Publikováno v:
European Journal of Engineering Education. 44:688-701
Engineering education has traditionally focused on the development of technical skills and knowledge. Nowadays, the need for educating engineers in non-technical skills, such as reflective ...
Publikováno v:
J Med Imaging (Bellingham)
Purpose: Prosthetic heart valve designs must be rigorously tested using cardiovascular equipment. The valve orifice area over time constitutes a key quality metric which is typically assessed manually, thus a tedious and error-prone task. From a comp
Autor:
Melissa Cote, Stéphane Gauthier, Alexandra Branzan Albu, Tunai Porto Marques, Kaan Ersahin, Todd Mudge, Alireza Rezvanifar
Publikováno v:
ICPR
This paper provides a comprehensive comparative study of traditional, hybrid, and deep learning (DL) methods for detecting marine species in echograms. Acoustic backscatter data obtained from multi-frequency echosounders is visualized as echograms an