Search Results - "Proceedings of the ... International Symposium on Image and Signal Processing and Analysis"

Face Attribute Detection with MobileNetV2 and NasNet-Mobile by Saxen, Frerk, Werner, Philipp, Handrich, Sebastian, Othman, Ehsan, Dinges, Laslo, Al-Hamadi, Ayoub

“…In this paper, we propose two simple yet effective methods to estimate facial attributes in unconstrained images. We use a straight forward and fast face…”
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Automatic Crack Detection using Mask R-CNN by Attard, Leanne, Debono, Carl James, Valentino, Gianluca, Di Castro, Mario, Masi, Alessandro, Scibile, Luigi

“…In order to avoid possible failures and prevent damage in civil infrastructures, such as tunnels and bridges, inspection should be done on a regular basis…”
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Flaw Detection from Ultrasonic Images using YOLO and SSD by Posilovic, Luka, Medak, Duje, Subasic, Marko, Petkovic, Tomislav, Budimir, Marko, Loncaric, Sven

“…Non-destructive ultrasonic testing (UT) of materials is used for monitoring critical parts in power plants, aeronautics, oil and gas industry, and space…”
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Improving YOLOv8 with Scattering Transform and Attention for Maritime Awareness by Carrillo-Perez, Borja, Rodriguez, Angel Bueno, Barnes, Sarah, Stephan, Maurice

“…Ship recognition and georeferencing using monitoring cameras are crucial to many applications in maritime situational awareness. Although deep learning…”
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Underwater Color Restoration Using U-Net Denoising Autoencoder by Hashisho, Yousif, Albadawi, Mohamad, Krause, Tom, von Lukas, Uwe Freiherr

“…Visual inspection of underwater structures by vehicles, e.g. remotely operated vehicles (ROVs), plays an important role in scientific, military, and commercial…”
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A convolutional neural network based approach to QRS detection by Sarlija, Marko, Jurisic, Fran, Popovic, Sinisa

“…In this paper we present a QRS detection algorithm based on pattern recognition as well as a new approach to ECG baseline wander removal and signal…”
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Ultrasound Anomaly Detection Based on Variational Autoencoders by Milkovic, Fran, Filipovic, Branimir, Subasic, Marko, Petkovic, Tomislav, Loncaric, Sven, Budimir, Marko

“…Analysis of ultrasonic testing (UT) data is a time-consuming assignment. In order to make it less demanding we propose an approach based on a variational…”
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Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities by Temerinac-Ott, M., Forestier, G., Schmitz, J., Hermsen, M., Bräsen, J. H., Feuerhake, F., Wemmert, C.

“…We evaluate the detection of glomerular structures in whole slide images (WSIs) of histopathological slides stained with multiple histochemical and…”
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Conventional Cervical Cytology Image Dataset with Cell Outline Annotations by Pater, Antonina, Siemion, Krzysztof, Deptuch, Karol, Roszkowiak, Lukasz, Zak, Jakub, Jakubowska, Katarzyna, Sulkowski, Stanislaw, Baltaziak, Marek, Koda, Mariusz, Korzynska, Anna

“…Here we describe our new Bialystok dataset of 162 Papanicolaou cervical smear images containing 2419 cells with annotations in form of cell cytoplasm maps. The…”
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Diabetic retinopathy image database(DRiDB): A new database for diabetic retinopathy screening programs research by Prentasic, Pavle, Loncaric, Sven, Vatavuk, Zoran, Bencic, Goran, Subasic, Marko, Petkovic, Tomislav, Dujmovic, Lana, Malenica-Ravlic, Maja, Budimlija, Nikolina, Tadic, Raseljka

“…Diabetic retinopathy is one of the leading disabling chronic diseases, and one of the leading causes of preventable blindness in the world. Early diagnosis of…”
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No Reference 3D Mesh Quality Assessment Using Deep Convolutional Features by Ibork, Zaineb, Nouri, Anass, Lezoray, Olivier, Charrier, Christophe, Touahni, Raja

“…3D meshes have gained significant interest in computer vision community due to their use in several applications such as virtual reality, gaming, heritage…”
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The EXtended Reality Quality Riddle: A Technological and Sociological Survey by Panarese, Paola, Baiocchi, Andrea, Colonnese, Stefania

“…This position paper surveys recent research on the latest findings regarding the Quality of Experience in XR from two distinct angles. Firstly, we present…”
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Impact of Measurement Conditions on Classification of ADL using Surface EMG Signals by Sagar Venna, Vidya, Turlapaty, Anish, Naidu, Surya

“…Studying Activities of Daily Living (ADL) is crucial for evaluating an individual's health and well-being, quantifying their functional status, and identifying…”
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A Light-Weight Deep Learning Model for Remote Sensing Image Classification by Pham, Lam, Le, Cam, Ngo, Dat, Nguyen, Anh, Lampert, Jasmin, Schindler, Alexander, McLoughlin, Ian

“…In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the…”
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Cross-Database Evaluation of Pain Recognition from Facial Video by Othman, Ehsan, Werner, Philipp, Saxen, Frerk, Al-Hamadi, Ayoub, Walter, Steffen

“…So far, all studies investigating the facial expression of pain have validated methods on the same database, whereas the cross-database performance is less…”
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Distributed Kalman Filtering for Temporal Resolution Enhancement of Thermal Images by Kanagasingham, Sabeethan, Mills, Andrew R., Kadirkamanathan, Visakan

“…This paper presents a novel method for enhancing temporal resolution of thermal image sequences. The proposed approach employs the Kalman filter, which…”
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Online Class Incremental Learning with One-Vs-All Classifiers for Resource Constrained Devices by Baptiste, Wagner, Denis, Pellerin, Serge, Olympieff, Sylvain, Huet

“…Online Class Incremental Learning (OCIL) aims to learn new classes from a data stream where samples arrive in batches, one after the other. Avoiding…”
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Optimizing Computational Complexity: Real-Time Speech Enhancement Using an Efficient Convolutional Recurrent Dense Neural Network by Rajabi, Amir, Krini, Mohammed

“…Real-time communication through cell phones and telephones often involves challenging acoustic environments where the original speech signal is contaminated by…”
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Finding Hamiltonian Cycles with Graph Neural Networks by Bosnic, Filip, Sikic, Mile

“…We train a small message-passing graph neural network to predict Hamiltonian cycles on Erdos-Renyl random graphs in a critical regime. It outperforms existing…”
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Evaluation of 2D and 3D Deep Learning Approaches For Predicting Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes In Spectral Domain Optical Coherence Tomography Images by Kucukgoz, Burak, Yapici, M. Mutlu, Steel, David H, Obara, Boguslaw

“…In this work, we compared the performance of 2D and 3D versions of four state-of-the-art deep learning neural networks on predicting visual acuity following…”
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