Journal papers 

 M. Alizadeh, M. Cote, and A. Branzan Albu, "Automatic segmentation and tracking of biological prosthetic heart valves," Journal of Medical Imaging, vol. 8, no. 1, 015501, 2021. DOI: 10.1117/1.JMI.8.1.015501 
 T. Porto Marques, A. Branzan Albu, and M. Hoeberechts, "A contrast-guided approach for the enhancement of low-lighting underwater images," Journal of Imaging, vol. 5, no. 10, 79, 2019. DOI: 10.3390/jimaging5100079 
 A. Rezvanifar, M. Cote, and A. Branzan Albu, "Symbol spotting for architectural drawings: state-of-the-art and new industry-driven developments," IPSJ Transactions on Computer Vision and Applications, vol. 11, no. 2, 2019. DOI: 10.1186/s41074-019-0055-1 
 M. Cote and A. Branzan Albu, "Teaching socio-cultural impacts of technology in advanced technical courses: a case study," European Journal of Engineering Education, vol. 44, no. 5, pp. 688-701, 2019. DOI: 10.1080/03043797.2018.1551329 
M. Matabos, M. Hoeberechts, C. Doya, J. Aguzzi, J. Nephin, T.E. Reimchen, S. Leaver, R.M. Marx, A. Branzan Albu, R. Fier, U. Fernandez-Arcaya, S.K. Juniper, “Expert, Crowd, Students, or Algorithm: Who holds the key to deep-sea imagery ‘big data’ processing?”, Methods in Ecology and Evolution, 2017.
 
A. Agahchen and A. Branzan-Albu, "Chromatic modulation in visual art: a computational perspective," Journal of Electronic Imaging, vol. 26, no 1, 2017.

 
M.  Cote  and A. Branzan Albu, “Robust Texture Classification by Aggregating Pixel-Based LBP Statistics.” IEEE Signal Processing Letters. vol. 22, no. 11, pp. 2102-2106, 2015.

 		 
M. Cote and A. Branzan-Albu, "  Texture sparseness for pixel classification of business document images," International Journal of Document Image Analysis, vol. 17, n0. 3, pp. 257-273, 2014.
 		https://sites.google.com/a/albu.ca/alexandra-branzan-albu/publications/IJDAR2014.pdf
N.T. Nguyen, D. Laurendeau, and A. Branzan-Albu,  ‘A robust method for camera motion estimation in movies based on optical flow’, Int. J. Intelligent Systems Technologies and Applications, vol. 9, Nos. 3/4, pp. 228–238, 2010.
F. Jean, R. Bergevin and A. Branzan Albu, “ Computing and Evaluating View-Normalized body part trajectories,” Image and Vision Computing, Elsevier Science, vol. 27, no 9, pp. 1272–1284, 2009. 
F. Jean, A. Branzan Albu, and R. Bergevin, “Towards View-Invariant Gait Modelling: Computing View-Normalized Body Part Trajectories,” Pattern Recognition, Elsevier Science, vol. 42, no 11, pp. 2936-2949, 2009. 
F. Jean, and A. Branzan Albu, "The Visual Keyboard: Real-time feet tracking for the control of Meta-Instruments", Signal Processing: Image Communication (Elsevier), Special issue on Semantic Analysis for Interactive Multimedia Services, vol. 23, no 7, pp. 505-515, 2008.  
A. Branzan Albu, T. Beugeling, and D. Laurendeau, "A morphology-based approach for inter-slice interpolation of anatomical structures from volumetric images", IEEE Transactions of Biomedical Imaging, vol. 55, no 8, pp. 2022-2038, 2008.  
A. Branzan Albu, R. Bergevin, and S. Quirion, "Generic temporal segmentation of cyclic human motion", Pattern Recognition, Elsevier Science, vol. 41, pp. 6-21, 2008.  
A. Branzan Albu and T. Beugeling, "A three-dimensional spatiotemporal template for interactive human motion analysis", Journal of Multimedia, Academy Publishers, vol. 2, no 4, pp. 45-54, 2007.  
A. Branzan Albu, M. Yazdi, and R. Bergevin, "Detection of cyclic human activities based on the morphological analysis of the inter-frame similarity matrix", Real-Time Imaging Journal, Elsevier Science, Special Issue on Video Object Processing, vol.11, pp. 219-232, 2005. 
 
 

Conference papers

 
T. Porto Marques, M. Cote, A. Rezvanifar, A. Branzan Albu, K. Ersahin, T. Mudge, and S. Gauthier, "Instance segmentation-based identification of pelagic species in acoustic backscatter data," IEEE Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW 2021) 
 A. Branzan Albu and G. Nagy, "Imaging reality and abstraction an exploration of natural and symbolic patterns," Proc. 16th Int. Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4 VISAPP, virtual, Feb. 2021 
 T. Porto Marques, A. Branzan Albu, P. O'Hara, N. Serra, B. Morrow, L. McWhinnie, and R. Canessa, "Size-invariant detection of marine vessels from visual time series," Proc. IEEE/CVF Winter Conf. on Applications of Computer Vision (WACV 2021), virtual, Jan. 2021 
 T. Porto Marques, A. Rezvanifar, M. Cote, A. Branzan Albu, K. Ersahin, T. Mudge, and S. Gauthier, "Detecting marine species in echograms via traditional, hybrid, and deep learning frameworks," Proc. 25th Int. Conf. on Pattern Recognition (ICPR 2020), virtual, Jan. 2021 
 D. McIntosh, T. Porto Marques, A. Branzan Albu, R. Rountree, and F. De Leo, "Movement tracks for the automatic detection of fish behavior in videos," NeurIPS Workshops (Tackling Climate Change with Machine Learning), virtual, Dec. 2020. arXiv:2011.14070 
M. Cote, A. Rezvanifar, and A. Branzan Albu, "Automatic generation of electrical plan documents from architectural data," Proc. ACM Symposium on Document Engineering (DocEng 2020), virtual, Sept. 2020  
 A. Rezvanifar, M. Cote, and A. Branzan Albu, "Symbol spotting on digital architectural floor plans using a deep learning-based framework," Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW 2020), virtual, June 2020 
T. Porto Marques and A. Branzan Albu, "L2UWE: a framework for the efficient enhancement of low-light underwater images using local contrast and multi-scale fusion. Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW 2020), virtual, June 2020 
M. Cote and A. Branzan Albu, "Towards preserving the ephemeral: texture-based background modelling for capturing back-of-the-napkin notes," Proc. IEEE/CVF Winter Conf. on Applications of Computer Vision (WACV 2020), Snowmass Village, CO, United States, March 2020 
A. Rezvanifar, T. Porto Marques, M. Cote, A. Branzan Albu, A. Slonimer, T. Tolhurst, T., K. Ersahin, T. Mudge, and S. Gauthier, "A deep learning-based framework for the detection of schools of herring in echograms," NeurIPS Workshops (Tackling Climate Change with Machine Learning), Vancouver, BC, Canada, Dec. 2019. arXiv:1910.08215 
A. Burden, M. Cote, and A. Branzan Albu, "Rectification of camera-captured document images with mixed contents and varied layouts," IEEE Proc. 16th Conf. on Computer and Robot Vision (CRV), Kingston, ON, Canada, May 2019 
T. Porto Marques, A. Branzan Albu, and M. Hoeberechts, "Enhancement of low-lighting underwater images using dark channel prior and fast guided filters," Proc. Int. Conf. on Pattern Recognition Workshops (Computer Vision for Analysis of Underwater Imagery, CVAUI 2018), Beijing, China, Aug. 2018 
R. Prior, D. Capson, and A. Branzan Albu, "Real time continuous tracking of dynamic hand gestures on a mobile GPU," Proc. Int. Conf. on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017), Antwerpen, Belgium, Sept. 2017 
A. Dash and A. Branzan Albu, "A domain independent approach to video summarization," Proc. Int. Conf. on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017), Antwerpen, Belgium, Sept. 2017 
 A. Dash and A. Branzan Albu, "Counting large flocks of birds using videos acquired with hand-held devices," Proc. Int. Conf. on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017), Antwerpen, Belgium, Sept. 2017 
M. Cote and A. Branzan Albu, "Teaching computer vision and its societal effects: a look at privacy and security issues from the students’ perspective," IEEE Proc. Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, USA, July 2017 
M. Alizadeh, M. Cote, and A. Branzan-Albu, "Leaflet Free Edge Detection for the Automatic Analysis of Prosthetic Heart Valve Opening and Closing Motion Patterns from High Speed Video Recordings," Proc. of Scandinavian Conference on Image Analysis (SCIA), Tromso, Normay, June 2017.

 
A. Burden, M. Cote, and A. Branzan-Albu, " Fast and Accurate Tracking of Highly Deformable Heart Valves With Locally Constrained Level Sets," IEEE Proc. of the Canadian Conference on Computer and Robot Vision (CRV 2017), Edmonton, AB, Canada, May 2017.

 
 M. Cote, A. Dash and A. Branzan-Albu, “Look Who is NOT Talking: Assessing Engagement Levels in Panel Conversations,” IEEE Proc. Int. Conf. on Pattern Recognition (ICPR 2016), Cancun, Mexico, Dec. 2016.

 
M. Cote and A. Branzan-Albu, “Layered Ground Truth: Conveying Structural and Statistical Information for Document Image Analysis and Evaluation,” IEEE Proc. Int. Conf. on Pattern Recognition (ICPR 2016), Cancun, Mexico, Dec. 2016.

 
T. Sadhu, A. Branzan-Albu, M. Hoeberechts, E. Wisernig, B. Wyvill, “Obstacle Detection for Image- Guided Surface Water Navigation,” IEEE Proc. of the Canadian Conference on Computer and Robot Vision (CRV 2016), Victoria, BC, Canada, June 2016.

 
M. Cote and A. Branzan-Albu , “A Comparative Study of Sparseness Measures for Segmenting Textures,” IEEE Proc. of the Canadian Conference on Computer and Robot Vision (CRV 2016), Victoria, BC, Canada, June 2016.

 
K. Moria, A. Branzan Albu, and K. Wu, “Computer Vision-Based Detection of Violent Individual Actions Witnessed by Crowds,” IEEE Proc. of the Canadian Conference on Computer and Robot Vision (CRV 2016), Victoria, BC, Canada, June 2016.

 
A. Kalmbach, M. Hoeberechts, A. Branzan-Albu, H. Glotin, S. Paris, and Y. Girdhar,"Learning Deep-Sea Substrate Types with Visual Topic Models,"  Proc. of the 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016.

 
M. Cote, F. Jean, A. Branzan-Albu and D. Capson, "Video summarization for remote invigilation of online exams," Proc of the 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016, pp. 1-9.

 
 A. Dash, M. Cote, and A. Branzan-Albu, “Automatic Speaker Identification from Interpersonal Synchrony of Body Motion Behavioral Patterns in Multi-Person Videos,” ACM Proceedings of Workshop on Interpersonal Synchrony (INTERPERSONAL) in conjunction with the 17th Int. ACM Conf. on Multimodal Interaction (ICMI 2015), Seattle, United States, Nov. 2015.

 
J. Svendsen and A. Branzan-Albu, “Change Classification in Graphics-Intensive Digital Documents,” Proceedings of. ACM Symposium on Document Engineering (DocEng 2015), Lausanne, Switzerland, Sept. 2015.

 
K. Moria, A. Branzan Albu, and K. Wu, “Fire Detection in Videos of Violent Crowds Acquired with Handheld Devices,” IEEE Proc. of the Canadian Conference on Computer and Robot Vision (CRV 2015), Halifax, NS, Canada, June 2015

 
N. Wang, S. Cullis-Suzuki, and A. Branzan-Albu, “Automated Analysis of Wild Fish Behaviour in a Natural Habitat,” Proceedings of the 2nd ACM Int. Workshop on Environmental Multimedia Retrieval (EMR 2015), in conjunction with the ACM Int. Conf. on Multimedia Retrieval (ICMR 2015), Shanghai, China, June 2015

F. Jean, A. Branzan Albu, D. Capson, et al , “Visualizing Category-Specific Changes in Oblique Photographs of Mountain Landscapes,” ACM Proc. of Eurographics  Workshop on Visualization in Environmental Sciences, (Envirvis) , Cagliari, Italy, May 2015.
 
 
A. Mendes, M. Hoeberechts, and A. Branzan-Albu, "Evolutionary computational methods for optimizing the classification of sea
stars in underwater images," Proc of the 2016 IEEE Winter Conference on Applications of Computer Vision Workshops (WACV), Kona, Hawaii, 2015.		 


 F. Jean, A. Branzan-Albu, D. Capson, et al, "The Mountain Habitats Segmentation and Change Detection Dataset”, Proc. of the IEEE Winter Conference on Applications of Computer Vision (WACV), Kona, Hawaii, US, Jan 2015.
 
 
M. Cote and A. Branzan Albu, "Sparseness-based descriptors for texture segmentation," IEEE Proc. Int. Conf. on Pattern Recognition (ICPR 2014), Stockholm, Sweden, Aug. 2014.
 
 J. Svendsen, T. Beugeling, and A. Branzan Albu, “Computer Vision-based Assessment of Hand-Eye Coordination in Young Gamers: A Baseline Approach”, in Computer Vision and Pattern Recognition Workshops, CVPRW 2012, Providence, RI, June 2012. 
 C. Gat, A. Branzan Albu, D. German, and E. Higgs, “A Comparative Evaluation of Feature Detectors on Historic Repeat Photography”, 7th International Symposium on Visual Computing, ISVC 2011, Las Vegas, Sept 2011.  
 P. Reimer, A. Branzan Albu, and G. Tzanetakis, “Raydiance: A Tangible Interface for Teaching Computer Vision”, ”, 7th International Symposium on Visual Computing, ISVC 2011, Las Vegas, Sept 2011.  
F. Jean, R. Bergevin, and A. Branzan Albu, “Human Gait Characteristics from Unconstrained Walks and Viewpoints ”, 11th IEEE Int Workshop on Visual Surveillance with ICCV 2011, Barcelona, October 2011. 
F. Jean, A. Branzan-Albu, and C. Dumoulin, “Feature-Based Tracking of Urethral Motion in Low-Resolution Trans-Perineal Ultrasound”, Proc. Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC 2011), Boston, US, Sept. 2011.  
J. Svendsen, A. Branzan-Albu, and N. Virji-Babul, “Analysis of Patterns of Motor Behaviour in Gamers with Down Syndrome”, Proc. IEEE Int Workshop on Computer Vision for Computer Games with CVPR 2011, Colorado Springs, June 2011. 
P. Bonneau, A. Branzan Albu, and M. Hilts, “Local Image Enhancement for Fiducial Marker Detection in Electronic Portal Images”, Proc. Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC 2010), Buenos Aires, Argentina, August 2010. 
K. Malakuti and A. Branzan Albu, “Towards an Intelligent Bed Sensor: Non-Intrusive Monitoring of Sleep Irregularities with Computer Vision Techniques”, Proc. IEEE Int. Conf. on Pattern Recognition (ICPR 2010), Istanbul, Turkey, August 2010, pp. 4004-4007.  
F. Jean, R. Bergevin, and A. Branzan Albu, “Trajectories Normalization for Viewpoint Invariant Gait Recognition”, in Proc. of IEEE Int. Conf. on Pattern Recognition (ICPR’08), Tampa, Dec. 2008. 
G. Rivet-Sabourin, A. Branzan Albu, L. Beaulieu, and D. Laurendeau, "Automatic contour retrieval in annotated TRUS prostate images", In Proc. of the 5th IEEE Int. Symposium on Biomedical Imaging (ISBI’08), Paris, May 2008.

 
 A. Branzan Albu, B. Widsten, T. Wang, J. Lan, and J. Mah, "A computer vision-based system for real-time detection of sleep in fatigued drivers", in Proc. of the 5th IEEE Intelligent Vehicles Symposium (IV 2008), Eindhoven, June 2008.

 
  F. Jean, A. Branzan Albu, A. Schloss, and P. Driessen, "Computer vision-based interface for the control of musical meta-instruments", 12th Conference on Human Computer Interaction (HCII International), Beijing, pp. 428-432, July 2007.

 
  N. T. Nguyen, D. Laurendeau, and A. Branzan Albu, "A new segmentation method for MRI images of the shoulder joint", in Proc. of the 4th IEEE Canadian Conference of Computer and Robot Vision, Montreal, pp. 329-338, May 2007.

 
  F. Jean, R. Bergevin, and A. Branzan Albu, "Computing View-Normalized Body Part Trajectories", in Proc. of the 4th IEEE Canadian Conference of Computer and Robot Vision, Montreal, pp. 89-96, May 2007.

 
  A. Branzan Albu, T. Beugeling, N. Virji-Babul, and C. Beach, "Analysis of Irregularities in Human Actions with Volumetric Motion History Images", in Proc. of IEEE Workshop on Motion and Video Computing (WMVC 2007), Austin, TX, USA, pp. 16-23, Feb. 2007.

 
  A. Branzan Albu, "Vision-based user interfaces for health applications: a survey", in Proc. of Advanced Visual Computing, 2nd International Symposium, Lake Tahoe, USA, pp. 771-782, Nov. 2006.