Xavier Giro-i-Nieto

research

∙ 07/22/2022

Hyper-Representations for Pre-Training and Transfer Learning

Learning representations of neural network weights given a model zoo is ...

Konstantin Schürholt, et al. ∙

research

∙ 01/07/2022

Sign Language Video Retrieval with Free-Form Textual Queries

Systems that can efficiently search collections of sign language videos ...

Amanda Duarte, et al. ∙

research

∙ 07/26/2021

H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

Recent learning approaches that implicitly represent surface geometry us...

Eduard Ramon, et al. ∙

research

∙ 07/18/2021

Unsupervised Skill-Discovery and Skill-Learning in Minecraft

Pre-training Reinforcement Learning agents in a task-agnostic manner has...

Juan Jose Nieto, et al. ∙

research

∙ 06/21/2021

Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation

Multiple object tracking faces several challenges that may be alleviated...

Andreu Girbau, et al. ∙

research

∙ 06/17/2021

PixInWav: Residual Steganography for Hiding Pixels in Audio

Steganography comprises the mechanics of hiding data in a host media tha...

Margarita Geleta, et al. ∙

research

∙ 06/08/2021

SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation

Recent advances in deep learning have brought significant progress in vi...

Ioannis Kazakos, et al. ∙

research

∙ 03/30/2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

Remote sensing and automatic earth monitoring are key to solve global-sc...

Oscar Manas, et al. ∙

research

∙ 12/20/2020

Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses

Recent work have addressed the generation of human poses represented by ...

Lucas Ventura, et al. ∙

research

∙ 10/01/2020

RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation

The task of video object segmentation with referring expressions (langua...

Miriam Bellver, et al. ∙

research

∙ 08/25/2020

Mask-guided sample selection for Semi-Supervised Instance Segmentation

Image segmentation methods are usually trained with pixel-level annotati...

Miriam Bellver, et al. ∙

research

∙ 08/18/2020

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

Sign Language is the primary means of communication for the majority of ...

Amanda Duarte, et al. ∙

research

∙ 08/15/2020

Curriculum Learning for Recurrent Video Object Segmentation

Video object segmentation can be understood as a sequence-to-sequence ta...

Maria Gonzalez-i-Calabuig, et al. ∙

research

∙ 06/01/2020

Transcription-Enriched Joint Embeddings for Spoken Descriptions of Images and Videos

In this work, we propose an effective approach for training unique embed...

Benet Oriol, et al. ∙

research

∙ 02/10/2020

Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

Acquiring abilities in the absence of a task-oriented reward function is...

Victor Campos, et al. ∙

research

∙ 11/05/2019

Recurrent Instance Segmentation using Sequences of Referring Expressions

The goal of this work is to segment the objects in an image that are ref...

Alba Herrera-Palacio, et al. ∙

research

∙ 10/25/2019

Automatic Reminiscence Therapy for Dementia

With people living longer than ever, the number of cases with dementia s...

Mariona Caros, et al. ∙

research

∙ 10/05/2019

Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation

This work addresses the challenge of hate speech detection in Internet m...

Benet Oriol Sabat, et al. ∙

research

∙ 08/23/2019

Assessing Knee OA Severity with CNN attention-based end-to-end architectures

This work proposes a novel end-to-end convolutional neural network (CNN)...

Marc Gorriz, et al. ∙

research

∙ 08/16/2019

Hyperparameter-Free Losses for Model-Based Monocular Reconstruction

This work proposes novel hyperparameter-free losses for single view 3D r...

Eduard Ramon, et al. ∙

research

∙ 07/03/2019

Temporal recurrences for video saliency prediction

This paper investigates modifying an existing neural network architectur...

Panagiotis Linardos, et al. ∙

research

∙ 07/03/2019

Simple vs complex temporal recurrences for video saliency prediction

This paper investigates modifying an existing neural network architectur...

Panagiotis Linardos, et al. ∙

research

∙ 05/14/2019

Budget-aware Semi-Supervised Semantic and Instance Segmentation

Methods that move towards less supervised scenarios are key for image se...

Miriam Bellver, et al. ∙

research

∙ 03/25/2019

Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks

Speech is a rich biometric signal that contains information about the id...

Amanda Duarte, et al. ∙

research

∙ 03/13/2019

RVOS: End-to-End Recurrent Network for Video Object Segmentation

Multiple object video object segmentation is a challenging task, special...

Carles Ventura, et al. ∙

research

∙ 12/14/2018

Inverse Cooking: Recipe Generation from Food Images

People enjoy food photography because they appreciate food. Behind each ...

Amaia Salvador, et al. ∙

research

∙ 11/12/2018

Importance Weighted Evolution Strategies

Evolution Strategies (ES) emerged as a scalable alternative to popular R...

Victor Campos, et al. ∙

research

∙ 09/03/2018

PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks

We introduce PathGAN, a deep neural network for visual scanpath predicti...

Marc Assens, et al. ∙

research

∙ 08/28/2018

Temporal Saliency Adaptation in Egocentric Videos

This work adapts a deep neural model for image saliency prediction to th...

Panagiotis Linardos, et al. ∙

research

∙ 03/21/2018

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Adaptive Computation Time for Recurrent Neural Networks (ACT) is one of ...

Daniel Fojo, et al. ∙

research

∙ 02/19/2018

Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation

The goal of Online Action Detection (OAD) is to detect action in a timel...

Zheng Shou, et al. ∙

research

∙ 01/07/2018

Cross-modal Embeddings for Video and Audio Retrieval

The increasing amount of online videos brings several opportunities for ...

Dídac Surís, et al. ∙

research

∙ 12/02/2017

Recurrent Neural Networks for Semantic Instance Segmentation

We present a recurrent model for semantic instance segmentation that seq...

Amaia Salvador, et al. ∙

research

∙ 11/29/2017

Detection-aided liver lesion segmentation using deep learning

A fully automatic technique for segmenting the liver and localizing its ...

Miriam Bellver, et al. ∙

research

∙ 11/29/2017

Saliency Weighted Convolutional Features for Instance Search

This work explores attention models to weight the contribution of local ...

Eva Mohedano, et al. ∙

research

∙ 11/24/2017

Cost-Effective Active Learning for Melanoma Segmentation

We propose a novel Active Learning framework capable to train effectivel...

Marc Gorriz, et al. ∙

research

∙ 08/22/2017

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

Recurrent Neural Networks (RNNs) continue to show outstanding performanc...

Victor Campos, et al. ∙

research

∙ 08/21/2017

More cat than cute? Interpretable Prediction of Adjective-Noun Pairs

The increasing availability of affect-rich multimedia resources has bols...

Delia Fernandez, et al. ∙

research

∙ 07/13/2017

Disentangling Motion, Foreground and Background Features in Videos

This paper introduces an unsupervised framework to extract semantically ...

Xunyu Lin, et al. ∙

research

∙ 07/11/2017

SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes

We introduce SaltiNet, a deep neural network for scanpath prediction tra...

Marc Assens, et al. ∙

research

∙ 07/09/2017

Class-Weighted Convolutional Features for Visual Instance Search

Image retrieval in realistic scenarios targets large dynamic datasets of...

Albert Jimenez, et al. ∙

research

∙ 01/04/2017

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

We introduce SalGAN, a deep convolutional neural network for visual sali...

Junting Pan, et al. ∙

research

∙ 11/11/2016

Hierarchical Object Detection with Deep Reinforcement Learning

We present a method for performing hierarchical object detection in imag...

Miriam Bellver, et al. ∙

research

∙ 10/09/2016

Open-Ended Visual Question-Answering

This thesis report studies methods to solve Visual Question-Answering (V...

Issey Masuda, et al. ∙

research

∙ 08/29/2016

Where is my Phone ? Personal Object Retrieval from Egocentric Images

This work presents a retrieval pipeline and evaluation scheme for the pr...

Cristian Reyes, et al. ∙

research

∙ 08/29/2016

Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks

This thesis explore different approaches using Convolutional and Recurre...

Alberto Montes, et al. ∙

research

∙ 04/15/2016

Bags of Local Convolutional Features for Scalable Instance Search

This work proposes a simple instance retrieval pipeline based on encodin...

Eva Mohedano, et al. ∙

research

∙ 04/12/2016

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

Visual multimedia have become an inseparable part of our digital social ...

Victor Campos, et al. ∙

research

∙ 03/02/2016

Shallow and Deep Convolutional Networks for Saliency Prediction

The prediction of salient areas in images has been traditionally address...

Junting Pan, et al. ∙

research

∙ 07/06/2015

End-to-end Convolutional Network for Saliency Prediction

The prediction of saliency areas in images has been traditionally addres...

Junting Pan, et al. ∙

Xavier Giro-i-Nieto

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