aalbu at uvic dot ca

I am a Professor In Electrical and Computer Engineering at the University of Victoria, BC, Canada. My work involves teaching, research, and service within academic, professional and local communities.

I teach undergraduate and graduate courses related to signal processing, image processing, and computer vision. Read more...

My research is about Computer Vision, which is a field of Artificial Intelligence that focuses on pattern recognition from image and video data. Read more...


Recent Publications (2022-2023)

Conference Papers

Rico Espinosa A*, McIntosh D*, Branzan-Albu A. (2023). 

An Efficient Approach for Underwater Image Improvement: Deblurring, Dehazing, and Color Correction. 

Winter Conference on Applications of Computer Vision (WACV 2023) Workshops, Waikoloa, Big Island, Hawaii, US


McIntosh D*, Porto-Marques T*, Branzan-Albu A, Rountree R, De Leo F. (2022). 

TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos. 

International Conference on Pattern Recognition (ICPR 2022), Montreal


Slonimer A*, Cote M*, Porto Marques T*, Rezvanifar A*, Dosso S, Branzan-Albu A, Ersahin K, Mudge T and Gauthier S. (2022). 

Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net. 

IEEE Canadian Conference on Computer and Robot Vision (CRV 2022), Toronto, (8-15)


Dash A* and Branzan-Albu A*. (2022). 

Classification of Handwritten Annotations in Mixed-Media Documents. 

19th Conference on Robots and Vision (CRV 2022), Toronto, (151-158)


Alizadeh M*, Cote M*, Branzan-Albu A. (2022). 

Towards Durability Estimation of Bioprosthetic Heart Valvesvia Motion Symmetry Analysis. 

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022)

Journal Articles


Slonimer A*, Dosso S, Branzan-Albu A, Cote M*, Porto Marques T*, Rezvanifar A*, Ersahin K, Mudge T and Gauthier S. (2022). 

Classification of Herring, Salmon, and Bubbles in Multi-Frequency Echograms using U-Net Neural Networks.

IEEE Journal of Oceanic Engineering.


Cote, M*, Dash A*, and Branzan-Albu A. (2022). 

Semantic Segmentation of Textured Mosaics. 

EURASIP Journal on Image and Video Processing.


Porto-Marques T*, Cote M*, Rezvanifar A*, Slonimer A*, Branzan-Albu A, Ersahin K., Gauthier S. (2022).

U-MSAA-Net: a Multi-Scale Additive Attention-Based Network for Pixel-Level Identification of Finfish and Krill in Echograms. 

IEEE Journal of Oceanic Engineering.


Cote M* and Branzan-Albu A. (2022). 

Attribute-Based Document Image Retrieval. 

Int. Journal on Document Analysis and Recognition (IJDAR).