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- Université de MontréalCA34 papers
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- Centre National de la Recherche ScientifiqueFR19 papers
- École de Technologie SupérieureCA13 papers
- Louisiana State UniversityUS12 papers
- Stanford UniversityUS12 papers
- Georgia Institute of TechnologyUS11 papers
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6 papers · 2 filters
Memory Efficient Multi-Scale Line Detector Architecture for Retinal Blood Vessel Segmentation
Hamza Bendaoudi, Farida Cheriet, J. M. Pierre Langlois
This paper presents a memory efficient architecture that implements the Multi-Scale Line Detector (MSLD) algorithm for real-time retinal blood vessel detection in fundus images on…
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez, Jorge Bernal, F. Javier Sánchez +5
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for…
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
Tegan Maharaj, Nicolas Ballas, Anna Rohrbach +2
While deep convolutional neural networks frequently approach or exceed human-level performance at benchmark tasks involving static images, extending this success to moving images i…
SPiKeS: Superpixel-Keypoints Structure for Robust Visual Tracking
François-Xavier Derue, Guillaume-Alexandre Bilodeau, Robert Bergevin
In visual tracking, part-based trackers are attractive since they are robust against occlusion and deformation. However, a part represented by a rectangular patch does not account…
The Importance of Skip Connections in Biomedical Image Segmentation
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand +2
In this paper, we study the influence of both long and short skip connections on Fully Convolutional Networks (FCN) for biomedical image segmentation. In standard FCNs, only long s…
Prior-based Coregistration and Cosegmentation
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas +4
We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map o…