5.2k citations · 8.2k across the 49 of their papers we have counts for
4 papers · 1 filter
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Chen Sun, Manohar Paluri, Ronan Collobert +2
This paper aims to classify and locate objects accurately and efficiently, without using bounding box annotations. It is challenging as objects in the wild could appear at arbitrar…
"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
Rémi Lebret, Ronan Collobert
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information ab…
Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar
Recent object detection systems rely on two critical steps: (1) a set of object proposals is predicted as efficiently as possible, and (2) this set of candidate proposals is then p…
Phrase-based Image Captioning
Rémi Lebret, Pedro O. Pinheiro, Ronan Collobert
Generating a novel textual description of an image is an interesting problem that connects computer vision and natural language processing. In this paper, we present a simple model…