Ponències/Comunicacions de congressos
Recent Submissions
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Linking media: adopting semantic technologies for multimodal media connection
Conference report
Open AccessToday's media and news organizations are constantly generating large amounts of multimedia content, majorly delivered online. As the online media market grows, the management and delivery of contents is becoming a challenge. ... -
SLAM-based 3D outdoor reconstructions from lidar data
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessThe use of depth (RGBD) cameras to reconstruct large outdoor environments is not feasible due to lighting conditions and low depth range. LIDAR sensors can be used instead. Most state of the art SLAM methods are devoted ... -
PathGAN: visual scanpath prediction with generative adversarial networks
(Springer, 2019)
Conference lecture
Restricted access - publisher's policyWe introduce PathGAN, a deep neural network for visual scanpath prediction trained on adversarial examples. A visual scanpath is defined as the sequence of fixation points over an image defined by a human observer with its ... -
Collaborative voting of 3D features for robust gesture estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference lecture
Open AccessHuman body analysis raises special interest because it enables a wide range of interactive applications. In this paper we present a gesture estimator that discriminates body poses in depth images. A novel collaborative ... -
Cross-modal embeddings for video and audio retrieval
(Springer, 2019)
Conference report
Open AccessIn this work, we explore the multi-modal information provided by the Youtube-8M dataset by projecting the audio and visual features into a common feature space, to obtain joint audio-visual embeddings. These links are used ... -
Action tube extraction based 3D-CNN for RGB-D action recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessIn this paper we propose a novel action tube extractor for RGB-D action recognition in trimmed videos. The action tube extractor takes as input a video and outputs an action tube. The method consists of two parts: spatial ... -
UPC multimodal speaker diarization system for the 2018 Albayzin challenge
(International Speech Communication Association (ISCA), 2018)
Conference report
Open AccessThis paper presents the UPC system proposed for the Multimodal Speaker Diarization task of the 2018 Albayzin Challenge. This approach works by processing individually the speech and the image signal. In the speech domain, ... -
Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease
(Springer International Publishing, 2018)
Conference lecture
Restricted access - publisher's policyIn this work, we identify meaningful latent patterns in MR images for patients across the Alzheimer’s disease (AD) continuum. For this purpose, we apply Projection to Latent Structures (PLS) method using cerebrospinal fluid ... -
Leishmaniasis parasite segmentation and classification using deep learning
(Springer, 2018)
Conference lecture
Restricted access - publisher's policyLeishmaniasis is considered a neglected disease that causes thousands of deaths annually in some tropical and subtropical countries. There are various techniques to diagnose leishmaniasis of which manual microscopy is ... -
Monte-Carlo sampling applied to multiple instance learning for histological image classification
(Springer, 2018)
Conference lecture
Restricted access - publisher's policyWe propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared with grid sampling and uniform sampling ... -
Monte-Carlo sampling applied to multiple instance learning for whole slide image classification
(2018)
Conference lecture
Open AccessIn this paper we propose a patch sampling strategy based on sequential Monte-Carlo methods for Whole Slide Image classification in the context of Multiple Instance Learning and show its capability to achieve high generalization ... -
Brain MRI super-resolution using generative adversarial networks
(2018)
Conference lecture
Open AccessIn this work we propose an adversarial learning approach to generate high resolution MRI scans from low resolution images. The architecture, based on the SRGAN model, adopts 3D convolutions to exploit volumetric information. ...
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