34 citations · 93 across the 7 of their papers we have counts for
21 papers · 1 filter
Focal Length and Object Pose Estimation via Render and Compare
Georgy Ponimatkin, Yann Labbé, Bryan Russell +2
We introduce FocalPose, a neural render-and-compare method for jointly estimating the camera-object 6D pose and camera focal length given a single RGB input image depicting a known…
Image Collation: Matching illustrations in manuscripts
Ryad Kaoua, Xi Shen, Alexandra Durr +3
Illustrations are an essential transmission instrument. For an historian, the first step in studying their evolution in a corpus of similar manuscripts is to identify which ones co…
Single-view robot pose and joint angle estimation via render & compare
Yann Labbé, Justin Carpentier, Mathieu Aubry +1
We introduce RoboPose, a method to estimate the joint angles and the 6D camera-to-robot pose of a known articulated robot from a single RGB image. This is an important problem to g…
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier, Elliot Vincent, Jean Ponce +1
We present an unsupervised learning framework for decomposing images into layers of automatically discovered object models. Contrary to recent approaches that model image layers wi…
docExtractor: An off-the-shelf historical document element extraction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We present docExtractor, a generic approach for extracting visual elements such as text lines or illustrations from historical documents without requiring any real data annotation.…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…