269 citations · 550 across the 34 of their papers we have counts for
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cs.CV2017
Learning 3D Object Categories by Looking Around Them
David Novotny, Diane Larlus, Andrea Vedaldi
Traditional approaches for learning 3D object categories use either synthetic data or manual supervision. In this paper, we propose a method which does not require manual annotatio…
cs.CV2017
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
David Novotny, Diane Larlus, Andrea Vedaldi
Despite significant progress of deep learning in recent years, state-of-the-art semantic matching methods still rely on legacy features such as SIFT or HoG. We argue that the stron…