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Optical flow estimation is a basic task in self-driving and robotics systems, which enables to temporally interpret traffic scenes. Autonomous vehicles clearly benefit from the ultra-wide Field of View (FoV) offered by 360{\deg} panoramic…

Computer Vision and Pattern Recognition · Computer Science 2022-11-30 Hao Shi , Yifan Zhou , Kailun Yang , Xiaoting Yin , Ze Wang , Yaozu Ye , Zhe Yin , Shi Meng , Peng Li , Kaiwei Wang

Ensuring and validating the safe operation of automated vehicles are key challenges for their market launch. Scenario-based development and test approaches are currently being pursued as possible solutions. An essential prerequisite for…

Software Engineering · Computer Science 2021-11-23 Markus Steimle , Till Menzel , Markus Maurer

The view and the view update are known mechanism for controlling access of data and for integrating data of different schemas. Despite intensive and long research on them in both the database community and the programming language…

Software developers often rely on natural language text that appears in software engineering artifacts to access critical information as they build and work on software systems. For example, developers access requirements documents to…

Software Engineering · Computer Science 2021-05-14 Arthur Marques , Giovanni Viviani , Gail C. Murphy

Visual navigation is essential for robotics and embodied AI. However, existing foundation models, particularly those with transformer decoders, suffer from high computational overhead and lack interpretability, limiting their deployment in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Jiahui Wang , Changhao Chen

Within the growing domain of software engineering in the automotive sector, the number of used tools, processes, methods and languages has increased distinctly in the past years. To be able to choose proper methods for particular…

Software Engineering · Computer Science 2016-01-15 Florian Bock , Daniel Homm , Sebastian Siegl , Reinhard German

Software Development (SD) is remarkably dynamic and is critically dependent on the knowledge acquired by the project's software developers as the project progresses. Software developers need to understand large amounts of information…

Software Engineering · Computer Science 2023-05-02 Glaucia Melo , Luis Fernando Lins , Paulo Alencar , Donald Cowan

Robust tooling and publicly available pre-trained models have helped drive recent advances in mechanistic interpretability for language models. However, similar progress in vision mechanistic interpretability has been hindered by the lack…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Sonia Joseph , Praneet Suresh , Lorenz Hufe , Edward Stevinson , Robert Graham , Yash Vadi , Danilo Bzdok , Sebastian Lapuschkin , Lee Sharkey , Blake Aaron Richards

Highly dynamic environments, with moving objects such as cars or humans, can pose a performance challenge for LiDAR SLAM systems that assume largely static scenes. To overcome this challenge and support the deployment of robots in real…

Unsupervised domain adaptation is critical in various computer vision tasks, such as object detection, instance segmentation, and semantic segmentation, which aims to alleviate performance degradation caused by domain-shift. Most of…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Congcong Li , Dawei Du , Libo Zhang , Longyin Wen , Tiejian Luo , Yanjun Wu , Pengfei Zhu

Software Engineering and the implementation of software has become a challenging task as many tools, frameworks and languages must be orchestrated into one functioning piece. This complexity increases the need for testing and analysis…

Software Engineering · Computer Science 2018-06-27 Hannes Thaller

Software architecture knowledge transfer is essential for software development, but related documentation is often incomplete or ambiguous, making oral explanations a common means. Our broader aim is to explore how such explanations might…

Software Engineering · Computer Science 2025-09-03 Satrio Adi Rukmono , Filip Zamfirov , Lina Ochoa , Floris Pex , Michel Chaudron

Interpretation and diagnosis of machine learning models have gained renewed interest in recent years with breakthroughs in new approaches. We present Manifold, a framework that utilizes visual analysis techniques to support interpretation,…

Machine Learning · Computer Science 2019-01-18 Jiawei Zhang , Yang Wang , Piero Molino , Lezhi Li , David S. Ebert

Design patterns are elegant and well-tested solutions to recurrent software development problems. They are the result of software developers dealing with problems that frequently occur, solving them in the same or a slightly adapted way. A…

Software Engineering · Computer Science 2019-03-25 Hannes Thaller , Lukas Linsbauer , Alexander Egyed

360 images represent scenes captured in all possible viewing directions and enable viewers to navigate freely around the scene thereby providing an immersive experience. Conversely, conventional images represent scenes in a single viewing…

Computer Vision and Pattern Recognition · Computer Science 2019-12-24 Julius Surya Sumantri , In Kyu Park

Information visualization plays a key role in business intelligence analytics. With ever larger amounts of data that need to be interpreted, using the right visualizations is crucial in order to understand the underlying patterns and…

Human-Computer Interaction · Computer Science 2024-02-16 Ana Lavalle , Alejandro Maté , Juan Trujillo , Stefano Rizzi

Service-orientation is a promising paradigm that enables the engineering of large-scale distributed software systems using rigorous software development processes. The existing problem is that every service-oriented software development…

Software Engineering · Computer Science 2020-04-22 Mahdi Fahmideh , Mohsen Sharifi , Pooyan Jamshidi

The advent of text-driven 360-degree panorama generation, enabling the synthesis of 360-degree panoramic images directly from textual descriptions, marks a transformative advancement in immersive visual content creation. This innovation…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Hai Wang , Xiaoyu Xiang , Weihao Xia , Jing-Hao Xue

Access to astronomical data through archives and VO is essential but does not solve all problems. Availability of appropriate software for analyzing the data is often equally important for the efficiency with which a researcher can publish…

Instrumentation and Methods for Astrophysics · Physics 2010-04-27 P. Grosbol , D. Tody

In this paper, we address the problem of data description using a Bayesian framework. The goal of data description is to draw a boundary around objects of a certain class of interest to discriminate that class from the rest of the feature…

Machine Learning · Computer Science 2016-02-26 Alireza Ghasemi , Hamid R. Rabiee , Mohammad T. Manzuri , M. H. Rohban
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