University of Alcalá

About: University of Alcalá is a education organization based out in Alcalá de Henares, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 10795 authors who have published 20718 publications receiving 410089 citations. The organization is also known as: University of Alcala & University of Alcala de Henares.

Bridging the Day and Night Domain Gap for Semantic Segmentation

Abstract: Perception in autonomous vehicles has progressed exponentially in the last years thanks to the advances of vision-based methods such as Convolutional Neural Networks (CNNs). Current deep networks are both efficient and reliable, at least in standard conditions, standing as a suitable solution for the perception tasks of autonomous vehicles. However, there is a large accuracy downgrade when these methods are taken to adverse conditions such as nighttime. In this paper, we study methods to alleviate this accuracy gap by using recent techniques such as Generative Adversarial Networks (GANs). We explore diverse options such as enlarging the dataset to cover these domains in unsupervised training or adapting the images on-the-fly during inference to a comfortable domain such as sunny daylight in a pre-processing step. The results show some interesting insights and demonstrate that both proposed approaches considerably reduce the domain gap, allowing IV perception systems to work reliably also at night.

Fusion and binarization of CNN features for robust topological localization across seasons

Abstract: The extreme variability in the appearance of a place across the four seasons of the year is one of the most challenging problems in life-long visual topological localization for mobile robotic systems and intelligent vehicles. Traditional solutions to this problem are based on the description of images using hand-crafted features, which have been shown to offer moderate invariance against seasonal changes. In this paper, we present a new proposal focused on automatically learned descriptors, which are processed by means of a technique recently popularized in the computer vision community: Convolutional Neural Networks (CNNs). The novelty of our approach relies on fusing the image information from multiple convolutional layers at several levels and granularities. In addition, we compress the redundant data of CNN features into a tractable number of bits for efficient and robust place recognition. The final descriptor is reduced by applying simple compression and binarization techniques for fast matching using the Hamming distance. An exhaustive experimental evaluation confirms the improved performance of our proposal (CNN-VTL) with respect to state-of-the-art methods over varied long-term datasets recorded across seasons.

Pityriasis rubra pilaris and human immunodeficiency virus infection.

Abstract: Recently, the occurrence of pityriasis rubra pilaris (PRP) has been reported in patients with HIV infection It presents different clinical features, and has a poorer prognosis, than the classical adult type of PRP We report the occurrence of severe PRP in an HIV-infected patient, and review the previously reported cases of this association We propose the designation of a new category of PRP (type 6), characterized by the presence of HIV infection, usually without immunosuppression, a poor prognosis and response to treatment, and the development of nodulocystic and lichen spinulosus lesions

Reflectionless Adaptive RF Filters: Bandpass, Bandstop, and Cascade Designs

Abstract: A class of frequency-reconfigurable input-reflectionless/absorptive RF/microwave filters is presented. They consist of tunable complementary-duplexer architectures that are composed of a main and an auxiliary channel with opposite filtering transfer functions. By loading the auxiliary channel with a reference-impedance resistor and by taking the output node of the main channel as the output terminal of the overall circuit, a filtering network of the same type of the main channel with theoretically perfect input-reflectionless behavior at all frequencies can be realized. This technique can be applied to design spectrally agile completely input-reflectionless filters with any kind of transfer function, such as low-pass, high-pass, and single/multiband bandpass/bandstop filters. The theoretical analysis of the first-order absorptive bandpass/bandstop filtering sections based on a coupling-matrix formulation is detailed. Furthermore, the synthesis of high-selectivity reflectionless filters either by cascading multiple first-order cells or using high-order channels in a single complementary duplexer is also described. For practical-demonstration purposes, frequency-tunable lumped-element and microstrip prototypes are manufactured and characterized. They correspond to first- and second-order bandpass/bandstop filters. In addition, their in-series cascade connection is used to implement a bandpass filter with spectrally controllable passband and out-of-band notches.

Sensitivity of Superoxide Dismutase Transcript Levels and Activities to Oxidative Stress Is Lower in Mature-Senescent Than in Young Barley Leaves

Abstract: Antioxidant enzyme activities are inducible by oxidative stress and decrease during senescence. To determine if the age-dependent decrease of superoxide dismutase (SOD) activities is due to decreased sensitivity to oxidative stress, we have investigated the changes in steady-state levels of transcripts and activities of mitochondrial Mn-SOD (SOD1), chloroplastic Fe-SOD (SOD2), and cytoplasmic Cu-Zn-SOD (SOD3) in young and mature-senescent detached barley (Hordeum vulgare L.) leaves in response to incubation in darkness, growth light (20 W m-2), and photooxidative stress conditions (100 W m-2 with 21 or 100% O2). For a comparison, changes in the mRNA for ribulose bisphosphate carboxylase were also measured. After leaf detachment, the abundance of all three SOD mRNAs increased, then decreased and eventually stabilized after 6 h of incubation. After 20 h of incubation under darkness SOD transcripts decreased in both young and mature-senescent leaves. While under strong photooxidative stress the levels of the three SOD transcripts significantly increased in young leaves; in mature-senescent leaves SOD2 and, to lesser extent, SOD1 and SOD3 transcripts decreased. Generally, SOD activity changes were similar to those of mRNAs. It is proposed that oxidative damage during senescence could be favored by the inability of senescing leaves to modulate the steady-state level of SOD mRNA, and probably those of other antioxidant enzymes, concomitant with the rate of oxyradical formation.