Searched for: subject%3A%22segmentation%22
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Tan, Yicong (author), Mody, P. (author), van der Valk, Viktor (author), Staring, M. (author), van Gemert, J.C. (author)
Literature on medical imaging segmentation claims that hybrid UNet models containing both Transformer and convolutional blocks perform better than purely convolutional UNet models. This recently touted success of hybrid Transformers warrants an investigation into which of its components contribute to its performance. Also, previous work has a...
conference paper 2023
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Feringa, J. (author)
The presented research addresses the question of how to bridge the divide between academic research and industry in the domain of by investigating aspects of computational design , robotic fabrication and their impact on practice via a series of experiments and case studies. Research sub-questions related to the architectural model , geometry...
doctoral thesis 2022
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Budd, J.M. (author)
A large number of modern learning problems involve working with highly interrelated and interconnected data. Graph-based learning is an emerging technique for approaching such problems, by representing this data as a graph (a.k.a. a network). That is, the points of data are represented by the vertices of the graph, and then the edges linking...
doctoral thesis 2022
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Solé Gómez, J.A. (author), Scandolo, L. (author), Eisemann, E. (author)
Plastic pollution in the sea is an environmental hazard, negatively impacts marine life, and causes economic damage all over the world. It is estimated that each year 8 million tonnes of plastic are deposited in seas, the vast majority coming from rivers. In recent years, publicly available satellite imagery has been used to attempt to track...
journal article 2022
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Palffy, A. (author), Pool, E.A.I. (author), Baratam, Srimannarayana (author), Kooij, J.F.P. (author), Gavrila, D. (author)
Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar data (where 1D refers to Doppler). In ablation studies, we first explore the benefits of...
journal article 2022
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Wiersma, R.T. (author), Nasikun, A. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
Learning from 3D point-cloud data has rapidly gained momentum, motivated by the success of deep learning on images and the increased availability of 3D~data. In this paper, we aim to construct anisotropic convolution layers that work directly on the surface derived from a point cloud. This is challenging because of the lack of a global...
journal article 2022
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Xing, Xuejun (author), Guo, Jianwei (author), Nan, L. (author), Gu, Qingyi (author), Zhang, Xiaopeng (author), Yan, Dong Ming (author)
The point pair feature (PPF) is widely used in industrial applications for estimating 6D poses of known objects from unrecognized point clouds. The key to the success of PPF matching is to establish correct 3D correspondences between the object and the scene, i.e., finding as many valid similar point pairs as possible. Thus, a set of...
journal article 2022
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Rist, C.B. (author), Emmerichs, David (author), Enzweiler, Markus (author), Gavrila, D. (author)
Semantic scene completion is the task of jointly estimating 3D geometry and semantics of objects and surfaces within a given extent. This is a particularly challenging task on real-world data that is sparse and occluded. We propose a scene segmentation network based on local Deep Implicit Functions as a novel learning-based method for scene...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Three-dimensional (3D) geometric bridge models play an important role in bridge inspection, assessment, and management. Laser scanning nowadays offers a cost-efficient method to capture dense, accurate 3D topographic data of surfaces of the bridge. However, given the typical complexity of bridges, current workflows using commercial software...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
In construction projects, inspection of structural components mostly relies on classical measurements obtained by measuring tapes, levelling, or total stations. With those methods, only a few points on the structure can be measured, and the resulting inspection may not fully reflect the actual, detailed condition of the complete object. Laser...
journal article 2022
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Cats, O. (author), Ferranti, Francesco (author)
The increasing availability of longitudinal individual human mobility traces enables the disaggregate analysis of temporal properties of mobility patterns. The objective of this study is to identify distinctive market segments in terms of habitual temporal travel patterns of public transport users. First, travel patterns are clustered using a...
journal article 2022
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Nunez-Gonzalez, L. (author), Nagtegaal, M.A. (author), Poot, D.H.J. (author), de Bresser, J. (author), van Osch, M. J.P. (author), Hernandez-Tamames, J.A. (author), Vos, F.M. (author)
MR fingerprinting (MRF) is a promising method for quantitative characterization of tissues. Often, voxel-wise measurements are made, assuming a single tissue-type per voxel. Alternatively, the Sparsity Promoting Iterative Joint Non-negative least squares Multi-Component MRF method (SPIJN-MRF) facilitates tissue parameter estimation for...
journal article 2022
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Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), van Egmond, R. (author), de Ridder, H. (author), Staring, Marius (author)
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Bayesian models and their associated uncertainty, can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian...
journal article 2022
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Xie, Jiahong (author), Cheng, Haibo (author), Zhu, Rong (author), Wang, Ping (author), Liang, K. (author)
To date there are few researches on the semantic information of passwords, which leaves a gap preventing us from fully understanding the passwords characteristic and security. We propose a new password probability model for semantic information based on Markov Chain with both generalization and accuracy, called WordMarkov, that can capture the...
conference paper 2022
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Du, S. (author), Ibrahimli, N. (author), Stoter, J.E. (author), Kooij, J.F.P. (author), Nan, L. (author)
Feedforward fully convolutional neural networks currently dominate in semantic segmentation of 3D point clouds. Despite their great success, they suffer from the loss of local information at low-level layers, posing significant challenges to accurate scene segmentation and precise object boundary delineation. Prior works either address this...
conference paper 2022
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Nurunnabi, A. (author), Teferle, F. N. (author), Laefer, D. F. (author), Lindenbergh, R.C. (author), Hunegnaw, A. (author)
Most deep learning (DL) methods that are not end-to-end use several multi-scale and multi-type hand-crafted features that make the network challenging, more computationally intensive and vulnerable to overfitting. Furthermore, reliance on empirically-based feature dimensionality reduction may lead to misclassification. In contrast, efficient...
journal article 2022
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Chen, Jiazhou (author), Xu, Yanghui (author), Lu, Shufang (author), Liang, Ronghua (author), Nan, L. (author)
We present a novel 3-D instance segmentation framework for multiview stereo (MVS) buildings in urban scenes. Unlike existing works focusing on semantic segmentation of urban scenes, the emphasis of this work lies in detecting and segmenting 3-D building instances even if they are attached and embedded in a large and imprecise 3-D surface model....
journal article 2022
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Torabi Kachousangi, F. (author), Mokhtarzadeh, Safoora (author), van Nes, Akkelies (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Multimodal hubs connect different modes, allowing people to switch from one mode to another and seamlessly access/egress to/from their origin/destinations. However, there are limited methods to estimate the impact of future measures on the accessibility of multimodal hubs. These future measures could be wide reaching, among others,...
conference paper 2022
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Dahle, F. (author), Tanke, Julian (author), Wouters, B. (author), Lindenbergh, R.C. (author)
A huge archive of historical images of the Antarctica taken by the US Navy between 1940 and 2000 is publicly available. These images have not yet been used for large-scale computer-driven analysis as they were captured with analog cameras. They were only later digitized and contain no semantic information. Most modern deep-learning based...
journal article 2022
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Calzolari, Davide (author), Della Santina, C. (author), Giordano, Alessandro Massimo (author), Albu-Schaffer, Alin (author)
Implementing dynamic legged locomotion entails stabilizing oscillatory behaviors in complex mechanical systems. Whenever possible, locomotion algorithms should also exploit the improved capabilities of elastic elements added to the structure to improve efficiency and robustness. This work aims to shed some light on implementing generic dynamic...
conference paper 2022
Searched for: subject%3A%22segmentation%22
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