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Saliency Prediction aims to predict the attention distribution of human eyes given an RGB image. Most of the recent state-of-the-art methods are based on deep image feature representations from traditional CNNs. However, the traditional…

Computer Vision and Pattern Recognition · Computer Science 2023-01-27 Shuo Zhang

The structure tensor method is often used for 2D and 3D analysis of imaged structures, but its results are in many cases very dependent on the user's choice of method parameters. We simplify this parameter choice in first order structure…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Pawel Tomasz Pieta , Anders Bjorholm Dahl , Jeppe Revall Frisvad , Siavash Arjomand Bigdeli , Anders Nymark Christensen

First principles approaches have revolutionized our ability in using computers to predict, explore and design materials. A major advantage commonly associated with these approaches is that they are fully parameter free. However, numerically…

Materials Science · Physics 2025-12-25 Jan Janssen , Edgar Makarov , Tilmann Hickel , Alexander V. Shapeev , Jörg Neugebauer

Accurately controlling object count in text-to-image generation remains a key challenge. Supervised methods often fail, as training data rarely covers all count variations. Methods that manipulate the denoising process to add or remove…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Oz Zafar , Yuval Cohen , Lior Wolf , Idan Schwartz

Semantic segmentation has been widely investigated in the community, in which the state of the art techniques are based on supervised models. Those models have reported unprecedented performance at the cost of requiring a large set of high…

Computer Vision and Pattern Recognition · Computer Science 2022-01-11 Rihuan Ke , Angelica Aviles-Rivero , Saurabh Pandey , Saikumar Reddy , Carola-Bibiane Schönlieb

While supervised object detection and segmentation methods achieve impressive accuracy, they generalize poorly to images whose appearance significantly differs from the data they have been trained on. To address this when annotating data is…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Isinsu Katircioglu , Helge Rhodin , Victor Constantin , Jörg Spörri , Mathieu Salzmann , Pascal Fua

Although convolutional neural networks (CNNs) are now widely used in various computer vision applications, its huge resource demanding on parameter storage and computation makes the deployment on mobile and embedded devices difficult.…

Computer Vision and Pattern Recognition · Computer Science 2019-09-26 Zhe Xu , Ray C. C. Cheung

Cooperative spectrum sensing is a robust strategy that enhances the detection probability of primary licensed users. However, a large number of detectors reporting to a fusion center for a final decision causes significant delay and also…

Information Theory · Computer Science 2015-05-28 Laila Hesham , Ahmed Sultan , Mohammed Nafie

Fine-grained action detection is an important task with numerous applications in robotics and human-computer interaction. Existing methods typically utilize a two-stage approach including extraction of local spatio-temporal features…

Computer Vision and Pattern Recognition · Computer Science 2019-11-11 Khoi-Nguyen C. Mac , Dhiraj Joshi , Raymond A. Yeh , Jinjun Xiong , Rogerio S. Feris , Minh N. Do

The demand for accurate food quantification has increased in the recent years, driven by the needs of applications in dietary monitoring. At the same time, computer vision approaches have exhibited great potential in automating tasks within…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Valasia Vlachopoulou , Ioannis Sarafis , Alexandros Papadopoulos

Existing supervised action segmentation methods depend on the quality of frame-wise classification using attention mechanisms or temporal convolutions to capture temporal dependencies. Even boundary detection-based methods primarily depend…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Kamel Aouaidjia , Wenhao Zhang , Aofan Li , Chongsheng Zhang

The requirements for accurate numerical simulation are increasing constantly. Modern high precision physics experiments now exceed the achievable numerical accuracy of standard commercial and scientific simulation tools. One example are…

Computational Physics · Physics 2015-05-28 M. Andres , L. Banz , A. Costea , E. Hackmann , S. Herrmann , C. Lämmerzahl , L. Nesemann , B. Rievers , E. P. Stephan

3D scene understanding is a critical yet challenging task in autonomous driving due to the irregularity and sparsity of LiDAR data, as well as the computational demands of processing large-scale point clouds. Recent methods leverage…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Bin Yang , Alexandru Paul Condurache

Recent efforts in deploying Deep Neural Networks for object detection in real world applications, such as autonomous driving, assume that all relevant object classes have been observed during training. Quantifying the performance of these…

Computer Vision and Pattern Recognition · Computer Science 2021-11-29 Yimeng Li , Jana Kosecka

Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. One common way to extract multi-scale features is to feed…

Computer Vision and Pattern Recognition · Computer Science 2016-06-03 Liang-Chieh Chen , Yi Yang , Jiang Wang , Wei Xu , Alan L. Yuille

We propose a simple and effective method for designing approximation formulas for weighted analytic functions. We consider spaces of such functions according to weight functions expressing the decay properties of the functions. Then, we…

Numerical Analysis · Mathematics 2018-08-31 Ken'ichiro Tanaka , Masaaki Sugihara

We propose a simple technique that, if combined with algorithms for computing functions of triangular matrices, can make them more efficient. Basically, such a technique consists in a specific scaling similarity transformation that reduces…

Numerical Analysis · Mathematics 2021-11-18 João R. Cardoso , Amir Sadeghi

With the increasingly availability of digital microscopy imagery equipments there is a demand for efficient execution of whole slide tissue image applications. Through the process of sensitivity analysis it is possible to improve the output…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-29 Willian de Oliveira Barreiros Junior , George Teodoro

We develop a geometrical interpretation of ternary probabilistic forecasts in which forecasts and observations are regarded as points inside a triangle. Within the triangle, we define a continuous colour palette in which hue and colour…

Applications · Statistics 2015-05-27 Tim E. Jupp , Rachel Lowe , Caio A. S. Coelho , David B. Stephenson

We propose a method for the approximation of high- or even infinite-dimensional feature vectors, which play an important role in supervised learning. The goal is to reduce the size of the training data, resulting in lower storage…

Machine Learning · Statistics 2021-04-06 Patrick Gelß , Stefan Klus , Ingmar Schuster , Christof Schütte