Searched for: subject%3A%22Computer%255C+vision%22
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Balayn, A.M.A. (author), Rikalo, N. (author), Lofi, C. (author), Yang, J. (author), Bozzon, A. (author)
Deep learning models for image classification suffer from dangerous issues often discovered after deployment. The process of identifying bugs that cause these issues remains limited and understudied. Especially, explainability methods are often presented as obvious tools for bug identification. Yet, the current practice lacks an understanding...
conference paper 2022
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Chebykin, Alexander (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
To achieve excellent performance with modern neural networks, having the right network architecture is important. Neural Architecture Search (NAS) concerns the automatic discovery of task-specific network architectures. Modern NAS approaches leverage super-networks whose subnetworks encode candidate neural network architectures. These...
conference paper 2022
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van der Burg, Vera (author), Akdag Salah, A.A. (author), Chandrasegaran, R.S.K. (author)
Emerging practices of using ‘off the shelf’ AI as a creative partner in design processes are receiving increasing attention in design research. This paper takes the well-known concept of ‘framing’ in design, along with the Schönian concept of ‘surprise’ to explore how a human-AI dialogue could work. The approach taken is practice-based, with the...
conference paper 2022
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Garofano, V. (author), Hepworth, M. (author), Shahin, R. (author)
The framework of an autonomous vessel is typically composed of three distinct and independent blocks known as the Guidance, Navigation and Control (GNC) system. This paper presents a combination of advanced complementary techniques in the different GNC subsystems to improve upon the current common practices/state of the art in obstacle...
journal article 2022
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Luttun, Johan (author), Krijnen, T.F. (author)
Recent progress in computer vision and the pervasive use of Building Information Models (BIM) in the construction industry provide countless opportunities for decision making in architectural design. It allows capturing real-world geometrical data for assessing design options, such as windows products for replacement on the façade of an existing...
conference paper 2021
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Meister, S. (author), Wermes, Mahdieu A.M. (author), Stüve, Jan (author), Groves, R.M. (author)
The aerospace industry has established the Automated Fiber Placement process as a common technique for manufacturing fibre reinforced components. In this process multiple composite tows are placed simultaneously onto a tool. Currently in such processes manual testing requires often up to 50% of the manufacturing duration. Moreover, the...
review 2021
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Klijn, M.E. (author), Hubbuch, Juergen (author)
Imaging is increasingly more utilized as analytical technology in biopharmaceutical formulation research, with applications ranging from subvisible particle characterization to thermal stability screening and residual moisture analysis. This review offers a comprehensive overview of analytical imaging for scientists active in...
journal article 2021
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Meister, S. (author), Wermes, Mahdieu A.M. (author), Stuve, Jan (author), Groves, R.M. (author)
Automated fibre layup techniques are commonly used composite manufacturing processes in the aviation sector and require a manual visual inspection. Neural Network classification of defects has the potential to automate this visual inspection, however, the machine decision-making processes are hard to verify. Thus, we present an approach for...
conference paper 2021
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Jamali-Rad, H. (author), Szabó, Attila (author)
Semantic segmentation is one of the most fundamental problems in computer vision with significant impact on a wide variety of applications. Adversarial learning is shown to be an effective approach for improving semantic segmentation quality by enforcing higher-level pixel correlations and structural information. However, state-of-the-art...
journal article 2021
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Mazhar, O. (author), Babuska, R. (author), Kober, J. (author)
Deep neural networks designed for vision tasks are often prone to failure when they encounter environmental conditions not covered by the training data. Single-modal strategies are insufficient when the sensor fails to acquire information due to malfunction or its design limitations. Multi-sensor configurations are known to provide redundancy...
journal article 2021
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van Dijk, Tom (author)
With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles....
report 2020
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Mager, Tino (author), Hein, C.M. (author)
Digital technologies provide novel ways of visualizing cities and buildings. They also facilitate new methods of analyzing the built environment, ranging from artificial intelligence (AI) to crowdsourced citizen participation. Digital representations of cities have become so refined that they challenge our perception of the real. However,...
journal article 2020
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Escalante, Hugo Jair (author), Kaya, Heysem (author), Ali Salah, Albert (author), Escalera, Sergio (author), Güç;lütürk, Yağmur (author), Güçlü, Umut (author), Baro, Xavier (author), Sukma Wicaksana, Achmadnoer (author), Liem, C.C.S. (author)
Explainability and interpretability are two critical aspects of decision support systems. Despite their importance, it is only recently that researchers are starting to explore these aspects. This paper provides an introduction to explainability and interpretability in the context of apparent personality recognition. To the best of our...
journal article 2020
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Meister, S. (author), Wermes, Mahdieu Amin Mahdieu (author), Stüve, Jan (author), Groves, R.M. (author)
The Automated Fiber Placement process is established in the aerospace industry for the production of composite components. This technique places several narrow material strips in parallel. Within current industrial Automated Fiber Placement processes the visual inspection takes typically up to 50% of overall production time. Furthermore,...
conference paper 2020
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Cabrera Quiros, L.C. (author), Hung, H.S. (author)
We address the complex problem of associating several wearable devices with the spatio-temporal region of their wearers in video during crowded mingling events using only acceleration and proximity. This is a particularly important first step for multi-sensor behavior analysis using video and wearable technologies, where the privacy of the...
journal article 2019
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Derner, Erik (author), Gomez, Clara (author), Hernandez, Alejandra C. (author), Barber, Ramon (author), Babuska, R. (author)
Autonomous mobile robots are becoming increasingly important in many industrial and domestic environments. Dealing with unforeseen situations is a difficult problem that must be tackled in order to move closer to the ultimate goal of life-long autonomy. In computer vision-based methods employed on mobile robots, such as localization or...
conference paper 2019
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Baptista Ríos, M. (author), Lopez-Sastre, Roberto J. (author), Caba Heilbron, Fabian (author), van Gemert, J.C. (author), Acevedo-Rodriguez, F. Javier (author), Maldonado-Bascon, Saturnino (author)
The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in the OAD setting we find very few works and no consensus on the evaluation protocols to be used. In this work we propose to rethink the OAD scenario, clearly...
journal article 2019
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Gudi, A.A. (author), Bittner, M. (author), Lochmans, Roelof (author), van Gemert, J.C. (author)
Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine...
conference paper 2019
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Mager, Tino (author), Khademi, S. (author), Siebes, R.M. (author), Hein, C.M. (author), de Boer, Victor (author), van Gemert, J.C. (author)
Built form dominates the urban space where most people live and work and provides a visual reflection of the local, regional and global esthetical, social, cultural, technological and economic factors and values. Street-view images and historical photo archives are therefore an invaluable source for sociological or historical study; however,...
book chapter 2019
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Malsattar, N.P. (author), Kihara, Tomo (author), Giaccardi, Elisa (author)
This paper describes ObjectResponder - a tool that allows designers to use Artificial Intelligence (AI) to rapidly prototype concepts for context-aware intelligent interaction in the wild. To our knowledge, there are currently no available tools for designing and prototyping with AI within the actual context of use. Our application uses...
conference paper 2019
Searched for: subject%3A%22Computer%255C+vision%22
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