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Adria Recasens

8 accepted papers

2020

Self-Supervised MultiModal Versatile Networks

NeurIPS 2020poster

Videos are a rich source of multi-modal supervision. In this work, we learn representations using self-supervision by leveraging three modalities naturally present in videos: visual, audio and language streams. To this end, we introduce the notion of a multimodal versatile network -- a network that…

2019

Gaze360: Physically Unconstrained Gaze Estimation in the Wild

ICCV 2019poster

Understanding where people are looking is an informative social cue. In this work, we present Gaze360, a large-scale remote gaze-tracking dataset and method for robust 3D gaze estimation in unconstrained images. Our dataset consists of 238 subjects in indoor and outdoor environments with labelled 3D…

Cited by 475PDFScholar
2018

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input

ECCV 2018poster

In this paper, we explore neural network models that learn to associate segments of spoken audio captions with the semantically relevant portions of natural images that they refer to. We demonstrate that these audio-visual associative localizations emerge from network-internal representations learne…

Cited by 254SourcePDFScholar
2018

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

ECCV 2018poster

We introduce a saliency-based distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task. Our differentiable layer can be added as a preprocessing block to existing task networks and trained altogether in an end-to-end fashion. The ef…