- document
-
Autar, Ravi (author)Person re-identification (re-ID) is a task that aims to associate the same people across different cameras. One of the many important problems a person re-ID system has to address in order to achieve good performance is the feature misalignment problem. Past research has attempted to address this problem by using attention networks, pose...master thesis 2019
- document
-
Herrera Herrera, Meylin (author)Landslides are destructive and recurrent natural disasters that cost annually significant social and economic losses all over the world. These events can be induced by natural factors as earthquakes and extreme rainfall, as well as by human intervention, including construction and mining. A primary resource to conduct landslides studies for...master thesis 2019
- document
-
van der Ploeg, Jorik (author)A typical gait pattern of a healthy individual is characterized by coordinated kinematics of body segments that minimize the energy cost of transport. This is achieved by a well-coordinated sequence of energy generation, transmission, and absorption by muscles. Knowing the energy...master thesis 2019
- document
-
Gudipati, Maruthi Kashyap (author)Since the start of the 21st century, the amount of captured data has been continuously increasing in this digital age. With almost 2.5 quintillion bytes of data being generated and captured every day (Liang et al., 2018), researchers and companies have a strong interest in exploring the value that can be created with this data, called big data...master thesis 2019
- document
-
Riegger, Franzi (author)Quantitative analysis of material microstructure is a well-known method to derive chemical and physical properties of a sample. This includes the segmentation of e.g. Light Optical Microscopy or Scanning Electron Microscopy images where each pixel is assigned to a material. Since some phases such as the γ-γ’ structure in nickelbased superalloys...master thesis 2019
- document
-
Zhou, Zequn (author)Urban areas are rapidly expanding in developing countries. One of goals of the United Nations Human Settlement Programme (UN-Habitat) is to understand and guide urban development for some developing regions.<br/>Currently, the approaches that UN-Habitat is using cost plenty of workforce, material, and time. Therefore, UN-Habitat is interested in...master thesis 2019
- document
-
Lengyel, Attila (author)This work investigates how prior knowledge from physics-based reflection models can be used to improve the performance of semantic segmentation models under an illumination-based domain shift. We implement various color invariants as a preprocessing step and find that CNNs trained on these color invariants get stuck in worse local minima...master thesis 2019
- document
-
Ai, Zhiwei (author)Deep learning methods have been demonstrated to be promising in semantic segmentation of point clouds. Existing works focus on extracting informative local features based on individual points and their local neighborhood. They lack consideration of the general structures and latent contextual relations of underlying shapes among points. To this...master thesis 2019
- document
-
Hulsebosch, Coen (author)In situations with spatial limitations where a bridge is desired, a skewed bridge is a solution. The bridge deck of a skewed bridge has the shape of a parallelogram, in which the angle that remains in the acute corners is defined as the skew angle. This thesis focuses on the design of reinforced concrete skewed slab highway bridges that are...master thesis 2019
- document
-
Steinlechner, Harald (author), Rainer, Bernhard (author), Schwarzler, M. (author), Haaser, Georg (author), Szabo, Attila (author), Maierhofer, Stefan (author), Wimmer, Michael (author)In this work, we propose an interaction-driven approach streamlined to support and improve a wide range of real-time 2D interaction metaphors for arbitrarily large pointclouds based on detected primitive shapes. Rather than performing shape detection as a costly pre-processing step on the entire point cloud at once, a user-controlled...conference paper 2019
- document
-
Nguyen, T.T. (author), Krishnakumari, P.K. (author), Calvert, S.C. (author), Vu, Hai L. (author), van Lint, J.W.C. (author)Classification of congestion patterns is important in many areas in traffic planning and management, ranging from policy appraisal, database design, to prediction and real-time control. One of the key constraints in applying machine learning techniques for classification is the availability of sufficient data (traffic patterns) with clear and...journal article 2019
- document
-
Ragunathan, CS (author)A study has been conducted on the application of Spherical Harmonics based Statistical Shape Modelling for Image Segmentation. This study is focused on the segmentation of Wrist bones using the above mentioned technique.master thesis 2019
- document
-
Brand, Patrick (author)Recent advances in Artificial Intelligence and Computer Vision have been showed to be promising for automated land use classification of remotely sensed data. However, current state-of-the-art per-pixel segmentation networks fail to accurately capture geometrical and topological properties on land use segmentation, as these methods have...master thesis 2019
- document
-
Van Dyk, H.O. (author)Cancer is a genetic disease. The activation, alteration or deactivation of cancer genes can stimulate undesirable cell-proliferation. Cancer genes can be subdivided into oncogenes and tumor suppressors. Oncogenes, such as growth factor receptors, are altered and/or overexpressed genes that are causally linked to tumorigenesis. Tumor suppressors,...doctoral thesis 2019
- document
-
van Goeverden, C.D. (author), van Nes, R. (author), van Arem, B. (author)Long-distance travel contributes significantly to climate change. One of the mitigation options is a shift to more sustainable modes. An efficient policy on modal choice demands knowledge on which market segments are promising for a mode. The paper describes a method for breaking down the travel market into segments that are homogeneous with...conference paper 2019
- document
-
Paulusse, J.P.M. (author), Atasoy, B. (author), Maknoon, M.Y. (author), Rezaei, J. (author)In the context of on-demand logistics systems, the facility location is becoming even more critical as demand characteristics and customer preferences are changing with respect to the location, time, customer segments etc. Classic facility location models do not take into account customer preferences when the set of facility locations are...conference paper 2019
- document
-
Alonso González, M.J. (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn-Lanser, S. (author), Hoogendoorn, S.P. (author)The impact of on-demand urban transport services on traffic reduction will depend on the willingness to share (WTS) of individuals. However, the extent to which individuals are willing to share remains largely unknown. By means of a stated preference experiment, this study analyses the WTS of respondents by comparing their preferences towards...conference paper 2019
- document
-
Zhou, K. (author), Chen, Y. (author), Smal, I.V. (author), Lindenbergh, R.C. (author)Up-to-date 3D building models are important for many applications. Airborne very high resolution (VHR) images often acquired annually give an opportunity to create an up-to-date 3D model. Building segmentation is often the first and utmost step. Convolutional neural networks (CNNs) draw lots of attention in interpreting VHR images as they can...journal article 2019
- document
-
Soilán, M. (author), Lindenbergh, R.C. (author), Riveiro, B. (author), Sánchez-Rodríguez, A. (author)During the last couple of years, there has been an increased interest to develop new deep learning networks specifically for processing 3D point cloud data. In that context, this work intends to expand the applicability of one of these networks, PointNet, from the semantic segmentation of indoor scenes, to outdoor point clouds acquired with...journal article 2019
- document
-
Ao, Y. (author), Wang, J. (author), Zhou, M. (author), Lindenbergh, R.C. (author), Yang, M. Y. (author)Panoramic images are widely used in many scenes, especially in virtual reality and street view capture. However, they are new for street furniture identification which is usually based on mobile laser scanning point cloud data or conventional 2D images. This study proposes to perform semantic segmentation on panoramic images and transformed...journal article 2019