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04/13/2023
Sign Language Translation from Instructional Videos
The advances in automatic sign language translation (SLT) to spoken lang...
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03/09/2023
Towards Robust Image-in-Audio Deep Steganography
The field of steganography has experienced a surge of interest due to th...
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12/02/2022
Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22
This paper describes the system developed at the Universitat Politècnica...
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09/29/2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
In the last years, neural networks (NN) have evolved from laboratory env...
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09/29/2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Learning representations of neural network weights given a model zoo is ...
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09/01/2022
Topic Detection in Continuous Sign Language Videos
Significant progress has been made recently on challenging tasks in auto...
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07/22/2022
Hyper-Representations for Pre-Training and Transfer Learning
Learning representations of neural network weights given a model zoo is ...
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01/07/2022
Sign Language Video Retrieval with Free-Form Textual Queries
Systems that can efficiently search collections of sign language videos ...
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07/26/2021
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
Recent learning approaches that implicitly represent surface geometry us...
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07/18/2021
Unsupervised Skill-Discovery and Skill-Learning in Minecraft
Pre-training Reinforcement Learning agents in a task-agnostic manner has...
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06/21/2021
Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation
Multiple object tracking faces several challenges that may be alleviated...
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06/17/2021
PixInWav: Residual Steganography for Hiding Pixels in Audio
Steganography comprises the mechanics of hiding data in a host media tha...
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06/08/2021
SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
Recent advances in deep learning have brought significant progress in vi...
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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...
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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 ...
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10/01/2020
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
The task of video object segmentation with referring expressions (langua...
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08/25/2020
Mask-guided sample selection for Semi-Supervised Instance Segmentation
Image segmentation methods are usually trained with pixel-level annotati...
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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 ...
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08/15/2020
Curriculum Learning for Recurrent Video Object Segmentation
Video object segmentation can be understood as a sequence-to-sequence ta...
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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...
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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...
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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...
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10/25/2019
Automatic Reminiscence Therapy for Dementia
With people living longer than ever, the number of cases with dementia s...
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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...
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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)...
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08/16/2019
Hyperparameter-Free Losses for Model-Based Monocular Reconstruction
This work proposes novel hyperparameter-free losses for single view 3D r...
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07/03/2019
Temporal recurrences for video saliency prediction
This paper investigates modifying an existing neural network architectur...
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07/03/2019
Simple vs complex temporal recurrences for video saliency prediction
This paper investigates modifying an existing neural network architectur...
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05/14/2019
Budget-aware Semi-Supervised Semantic and Instance Segmentation
Methods that move towards less supervised scenarios are key for image se...
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03/25/2019
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
Speech is a rich biometric signal that contains information about the id...
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03/13/2019
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Multiple object video object segmentation is a challenging task, special...
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12/14/2018
Inverse Cooking: Recipe Generation from Food Images
People enjoy food photography because they appreciate food. Behind each ...
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11/12/2018
Importance Weighted Evolution Strategies
Evolution Strategies (ES) emerged as a scalable alternative to popular R...
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09/03/2018
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks
We introduce PathGAN, a deep neural network for visual scanpath predicti...
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08/28/2018
Temporal Saliency Adaptation in Egocentric Videos
This work adapts a deep neural model for image saliency prediction to th...
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03/21/2018
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks (ACT) is one of ...
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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...
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01/07/2018
Cross-modal Embeddings for Video and Audio Retrieval
The increasing amount of online videos brings several opportunities for ...
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12/02/2017
Recurrent Neural Networks for Semantic Instance Segmentation
We present a recurrent model for semantic instance segmentation that seq...
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11/29/2017
Detection-aided liver lesion segmentation using deep learning
A fully automatic technique for segmenting the liver and localizing its ...
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11/29/2017
Saliency Weighted Convolutional Features for Instance Search
This work explores attention models to weight the contribution of local ...
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11/24/2017
Cost-Effective Active Learning for Melanoma Segmentation
We propose a novel Active Learning framework capable to train effectivel...
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08/22/2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Recurrent Neural Networks (RNNs) continue to show outstanding performanc...
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08/21/2017
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs
The increasing availability of affect-rich multimedia resources has bols...
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07/13/2017
Disentangling Motion, Foreground and Background Features in Videos
This paper introduces an unsupervised framework to extract semantically ...
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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...
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07/09/2017
Class-Weighted Convolutional Features for Visual Instance Search
Image retrieval in realistic scenarios targets large dynamic datasets of...
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01/04/2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
We introduce SalGAN, a deep convolutional neural network for visual sali...
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11/11/2016
Hierarchical Object Detection with Deep Reinforcement Learning
We present a method for performing hierarchical object detection in imag...
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10/09/2016