Követés
Alireza Rezvanifar
Cím
Hivatkozott rá
Hivatkozott rá
Év
Symbol spotting on digital architectural floor plans using a deep learning-based framework
A Rezvanifar, M Cote, AB Albu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
332020
Symbol spotting for architectural drawings: state-of-the-art and new industry-driven developments
A Rezvanifar, M Cote, A Branzan Albu
IPSJ Transactions on Computer Vision and Applications 11, 2019
242019
Instance segmentation-based identification of pelagic species in acoustic backscatter data
TP Marques, M Cote, A Rezvanifar, AB Albu, K Ersahin, T Mudge, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
A deep learning-based framework for the detection of schools of herring in echograms
A Rezvanifar, TP Marques, M Cote, AB Albu, A Slonimer, T Tolhurst, ...
arXiv preprint arXiv:1910.08215, 2019
142019
Detecting marine species in echograms via traditional, hybrid, and deep learning frameworks
TP Marques, A Rezvanifar, M Cote, AB Albu, K Ersahin, T Mudge, ...
2020 25th International Conference on Pattern Recognition (ICPR), 5928-5935, 2021
122021
Including the size of regions in image segmentation by region-based graph
A Rezvanifar, M Khosravifard
IEEE Transactions on Image Processing 23 (2), 635-644, 2013
102013
Automatic generation of electrical plan documents from architectural data
M Cote, A Rezvanifar, AB Albu
Proceedings of the ACM Symposium on Document Engineering 2020, 1-4, 2020
62020
Geometry-based symbol spotting in born-digital architectural floor plans
A Rezvanifar, M Cote, AB Albu
Journal of Electronic Imaging 30 (4), 043015-043015, 2021
22021
Instance segmentation of herring and salmon schools in acoustic echograms using a hybrid u-net
AL Slonimer, M Cote, TP Marques, A Rezvanifar, SE Dosso, AB Albu, ...
2022 19th Conference on Robots and Vision (CRV), 8-15, 2022
12022
Classification of Herring, Salmon, and Bubbles in Multifrequency Echograms Using U-Net Neural Networks
AL Slonimer, SE Dosso, AB Albu, M Cote, TP Marques, A Rezvanifar, ...
IEEE Journal of Oceanic Engineering, 2023
2023
U-MSAA-Net: A Multiscale Additive Attention-Based Network for Pixel-Level Identification of Finfish and Krill in Echograms
TP Marques, M Cote, A Rezvanifar, A Slonimer, AB Albu, K Ersahin, ...
IEEE Journal of Oceanic Engineering, 2023
2023
Analyzing symbols in architectural floor plans via traditional computer vision and deep learning approaches
A Rezvanifar
University of Victoria, 2021
2021
Classification with U-Net neural networks of herring, salmon, and bubbles in multifrequency echograms
AL Slonimer, S Dosso, AB Albu, M Cote, TP Marques, A Rezvanifar, ...
The Journal of the Acoustical Society of America 150 (4), A256-A256, 2021
2021
Computer vision-based detection of schools of herring from acoustic backscatter time series
A Rezvanifar, TP Marques, M Cote, AB Albu, A Slonimer, ...
PICES 2019 Annual Meeting, Connecting Science and Communities in a Changing …, 2019
2019
Classification of Herring, Salmon, and Bubbles in Multifrequency Echograms with a U-Net Neural Network
AL Slonimer, SE Dosso, AB Albu, M Cote, TP Marques, A Rezvanifar, ...
Aarabi, Parham 58 Abad, Andres G. 67 Abdollahzadeh, Sakineh 213 Abedi, Ali 16
AB Albu, MS Allili, D Asmar, M Baradaran, G Bathla, R Bergevin, ...
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Cikkek 1–16