| 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 | 37 | 2020 |
| 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 | 27 | 2019 |
| 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 | 15 | 2021 |
| 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 | 15 | 2019 |
| 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 | 14 | 2021 |
| 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 | 10 | 2013 |
| 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 | 6 | 2020 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
| Analyzing symbols in architectural floor plans via traditional computer vision and deep learning approaches A Rezvanifar University of Victoria, 2021 | 1 | 2021 |
| 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 |
| 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_Supplement), 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, ... | | |
Alexandra Branzan AlbuUniversity of VictoriaVerified email at uvic.ca
