Automatic Rooftop Extraction in Nadir Aerial Imagery of Suburban Regions Using Corners and Variational Level Set Evolution. - Melissa Cote; Parvaneh Saeedi (IEEE Trans. Geosci. Remote. Sens., 2013)

Sparseness-Based Descriptors for Texture Segmentation. - Melissa Cote; Alexandra Branzan Albu (ICPR, 2014)

Texture sparseness for pixel classification of business document images. - Melissa Cote; Alexandra Branzan Albu (Int. J. Document Anal. Recognit., 2014)

Automatic Speaker Identification from Interpersonal Synchrony of Body Motion Behavioral Patterns in Multi-Person Videos. - Amanda Dash; Melissa Cote; Alexandra Branzan Albu (INTERPERSONAL@ICMI, 2015)

Robust Texture Classification by Aggregating Pixel-Based LBP Statistics. - Melissa Cote; Alexandra Branzan Albu (IEEE Signal Process. Lett., 2015)

A Comparative Study of Sparseness Measures for Segmenting Textures. - Melissa Cote; Alexandra Branzan Albu (CRV, 2016)

Layered ground truth: Conveying structural and statistical information for document image analysis and evaluation. - Melissa Cote; Alexandra Branzan Albu (ICPR, 2016)

Look who is not talking: Assessing engagement levels in panel conversations. - Melissa Cote; Amanda Dash; Alexandra Branzan Albu (ICPR, 2016)

Video summarization for remote invigilation of online exams. - Melissa Cote; Frédéric Jean; Alexandra Branzan Albu; David W. Capson (WACV, 2016)

Fast and Accurate Tracking of Highly Deformable Heart Valves with Locally Constrained Level Sets. - Alexander Burden; Melissa Cote; Alexandra Branzan Albu (CRV, 2017)

Teaching Computer Vision and Its Societal Effects: A Look at Privacy and Security Issues from the Students' Perspective. - Melissa Cote; Alexandra Branzan Albu (CVPR Workshops, 2017)

Leaflet Free Edge Detection for the Automatic Analysis of Prosthetic Heart Valve Opening and Closing Motion Patterns from High Speed Video Recordings. - Maryam Alizadeh; Melissa Cote; Alexandra Branzan Albu (SCIA (2), 2017)

Rectification of Camera-Captured Document Images with Mixed Contents and Varied Layouts. - Alexander Burden; Melissa Cote; Alexandra Branzan Albu (CRV, 2019)

A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms. - Alireza Rezvanifar; Tunai Porto Marques; Melissa Cote; Alexandra Branzan Albu; Alex L. Slonimer; Thomas Tolhurst; Kaan Ersahin; Todd Mudge; Stéphane Gauthier (CoRR, 2019)

Symbol spotting for architectural drawings: state-of-the-art and new industry-driven developments. - Alireza Rezvanifar; Melissa Cote; Alexandra Branzan Albu (IPSJ Trans. Comput. Vis. Appl., 2019)

Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework. - Alireza Rezvanifar; Melissa Cote; Alexandra Branzan Albu (CVPR Workshops, 2020)

Automatic Generation of Electrical Plan Documents from Architectural Data. - Melissa Cote; Alireza Rezvanifar; Alexandra Branzan Albu (DocEng, 2020)

Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep Learning Frameworks. - Tunai Porto Marques; Alireza Rezvanifar; Melissa Cote; Alexandra Branzan Albu; Kaan Ersahin; Todd Mudge; Stéphane Gauthier (ICPR, 2020)

Towards Preserving the Ephemeral: Texture-Based Background Modelling for Capturing Back-of-the-Napkin Notes. - Melissa Cote; Alexandra Branzan Albu (WACV, 2020)

Instance Segmentation-Based Identification of Pelagic Species in Acoustic Backscatter Data. - Tunai Porto Marques; Melissa Cote; Alireza Rezvanifar; Alexandra Branzan Albu; Kaan Ersahin; Todd Mudge; Stéphane Gauthier (CVPR Workshops, 2021)

Geometry-based symbol spotting in born-digital architectural floor plans. - Alireza Rezvanifar; Melissa Cote; Alexandra Branzan Albu (J. Electronic Imaging, 2021)

Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net. - Alex L. Slonimer; Melissa Cote; Tunai Porto Marques; Alireza Rezvanifar; Stan E. Dosso; Alexandra Branzan Albu; Kaan Ersahin; Todd Mudge; Stéphane Gauthier (CRV, 2022)

Towards Durability Estimation of Bioprosthetic Heart Valves Via Motion Symmetry Analysis. - Maryam Alizadeh; Melissa Cote; Alexandra Branzan Albu (WACV, 2022)

Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation. - Rhythm Vohra; Femina Senjaliya; Melissa Cote; Amanda Dash; Alexandra Branzan Albu; Julek Chawarski; Steve Pearce; Kaan Ersahin (CVPR Workshops, 2023)

WEATHERGOV+: A Table Recognition and Summarization Dataset to Bridge the Gap Between Document Image Analysis and Natural Language Generation. - Amanda Dash; Melissa Cote; Alexandra Branzan Albu (DocEng, 2023)

Semantic segmentation of textured mosaics. - Melissa Cote; Amanda Dash; Alexandra Branzan Albu (EURASIP J. Image Video Process., 2023)

Deep Learning-Based Identification of Arctic Ocean Boundaries and Near-Surface Phenomena in Underwater Echograms. - Femina Senjaliya; Melissa Cote; Amanda Dash; Alexandra Branzan Albu; Andrea Niemi; Stéphane Gauthier; Julek Chawarski; Steve Pearce; Kaan Ersahin; Keath Borg (CVPR Workshops, 2024)

Attribute-based document image retrieval. - Melissa Cote; Alexandra Branzan Albu (Int. J. Document Anal. Recognit., 2024)

Exploring text-to-image generation for historical document image retrieval. - Melissa Cote; Alexandra Branzan Albu (CoRR, 2025)