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10 papers · 2 filters
docExtractor: An off-the-shelf historical document element extraction
Tom Monnier, Mathieu Aubry
We present docExtractor, a generic approach for extracting visual elements such as text lines or illustrations from historical documents without requiring any real data annotation.…
Learning to Guide Local Feature Matches
François Darmon, Mathieu Aubry, Pascal Monasse
We tackle the problem of finding accurate and robust keypoint correspondences between images. We propose a learning-based approach to guide local feature matches via a learned appr…
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
Giorgia Pitteri, Aurélie Bugeau, Slobodan Ilic +1
We present an approach for detecting and estimating the 3D poses of objects in images that requires only an untextured CAD model and no training phase for new objects. Our approach…
Cuid: A new study of perceived image quality and its subjective assessment
Lucie Lévêque, Ji Yang, Xiaohan Yang +5
Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or train…
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
Marie-Morgane Paumard, David Picard, Hedi Tabia
We tackle the image reassembly problem with wide space between the fragments, in such a way that the patterns and colors continuity is mostly unusable. The spacing emulates the ero…
Semantic Signatures for Large-scale Visual Localization
Li Weng, Valerie Gouet-Brunet, Bahman Soheilian
Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images a…