161 citations · 498 across the 15 of their papers we have counts for
18 papers
Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
Amaia Salvador, Erhan Gundogdu, Loris Bazzani +1
Cross-modal recipe retrieval has recently gained substantial attention due to the importance of food in people's lives, as well as the availability of vast amounts of digital cooki…
Mask-guided sample selection for Semi-Supervised Instance Segmentation
Miriam Bellver, Amaia Salvador, Jordi Torres +1
Image segmentation methods are usually trained with pixel-level annotations, which require significant human effort to collect. The most common solution to address this constraint…
WiCV 2019: The Sixth Women In Computer Vision Workshop
Irene Amerini, Elena Balashova, Sayna Ebrahimi +3
In this paper we present the Women in Computer Vision Workshop - WiCV 2019, organized in conjunction with CVPR 2019. This event is meant for increasing the visibility and inclusion…
Budget-aware Semi-Supervised Semantic and Instance Segmentation
Miriam Bellver, Amaia Salvador, Jordi Torres +1
Methods that move towards less supervised scenarios are key for image segmentation, as dense labels demand significant human intervention. Generally, the annotation burden is mitig…
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Pineda, Amaia Salvador, Michal Drozdzal +1
In this paper, we identify an important reproducibility challenge in the image-to-set prediction literature that impedes proper comparisons among published methods, namely, researc…
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
Amanda Duarte, Francisco Roldan, Miquel Tubau +7
Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker. In this work, we explore its potential to generate face i…
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Carles Ventura, Miriam Bellver, Andreu Girbau +3
Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the o…
Inverse Cooking: Recipe Generation from Food Images
Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto +1
People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we…
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Javier Marin, Aritro Biswas, Ferda Ofli +5
In this paper, we introduce Recipe1M+, a new large-scale, structured corpus of over one million cooking recipes and 13 million food images. As the largest publicly available collec…
Cross-modal Embeddings for Video and Audio Retrieval
Didac Surís, Amanda Duarte, Amaia Salvador +2
The increasing amount of online videos brings several opportunities for training self-supervised neural networks. The creation of large scale datasets of videos such as the YouTube…
Recurrent Neural Networks for Semantic Instance Segmentation
Amaia Salvador, Miriam Bellver, Victor Campos +4
We present a recurrent model for semantic instance segmentation that sequentially generates binary masks and their associated class probabilities for every object in an image. Our…
Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks
Alberto Montes, Amaia Salvador, Santiago Pascual +1
This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation t…
Faster R-CNN Features for Instance Search
Amaia Salvador, Xavier Giro-i-Nieto, Ferran Marques +1
Image representations derived from pre-trained Convolutional Neural Networks (CNNs) have become the new state of the art in computer vision tasks such as instance retrieval. This w…
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano, Amaia Salvador, Kevin McGuinness +3
This work proposes a simple instance retrieval pipeline based on encoding the convolutional features of CNN using the bag of words aggregation scheme (BoW). Assigning each local ar…
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction
Victor Campos, Amaia Salvador, Brendan Jou +1
Visual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment a…
Quality Control in Crowdsourced Object Segmentation
Ferran Cabezas, Axel Carlier, Amaia Salvador +2
This paper explores processing techniques to deal with noisy data in crowdsourced object segmentation tasks. We use the data collected with "Click'n'Cut", an online interactive seg…
Cultural Event Recognition with Visual ConvNets and Temporal Models
Amaia Salvador, Matthias Zeppelzauer, Daniel Manchon-Vizuete +2
This paper presents our contribution to the ChaLearn Challenge 2015 on Cultural Event Classification. The challenge in this task is to automatically classify images from 50 differe…
Exploring EEG for Object Detection and Retrieval
Eva Mohedano, Amaia Salvador, Sergi Porta +5
This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. We investigate if it is possible to…