35 citations · 72 across the 7 of their papers we have counts for
9 papers
SHREC 2021: Classification in cryo-electron tomograms
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot +20
Cryo-electron tomography (cryo-ET) is an imaging technique that allows three-dimensional visualization of macro-molecular assemblies under near-native conditions. Cryo-ET comes wit…
A Computational Evaluation of Musical Pattern Discovery Algorithms
Iris Ren, Anja Volk, Wouter Swierstra +1
Pattern discovery algorithms in the music domain aim to find meaningful components in musical compositions. Over the years, although many algorithms have been developed for pattern…
SHREC 2020 track: 6D Object Pose Estimation
Honglin Yuan, Remco C. Veltkamp, Georgios Albanis +3
6D pose estimation is crucial for augmented reality, virtual reality, robotic manipulation and visual navigation. However, the problem is challenging due to the variety of objects…
Deeply Cascaded U-Net for Multi-Task Image Processing
Ilja Gubins, Remco C. Veltkamp
In current practice, many image processing tasks are done sequentially (e.g. denoising, dehazing, followed by semantic segmentation). In this paper, we propose a novel multi-task n…
Learning Class Regularized Features for Action Recognition
Alexandros Stergiou, Ronald Poppe, Remco C. Veltkamp
Training Deep Convolutional Neural Networks (CNNs) is based on the notion of using multiple kernels and non-linearities in their subsequent activations to extract useful features.…
Class Feature Pyramids for Video Explanation
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis +3
Deep convolutional networks are widely used in video action recognition. 3D convolutions are one prominent approach to deal with the additional time dimension. While 3D convolution…
Multitask Learning to Improve Egocentric Action Recognition
Georgios Kapidis, Ronald Poppe, Elsbeth van Dam +2
In this work we employ multitask learning to capitalize on the structure that exists in related supervised tasks to train complex neural networks. It allows training a network for…
Egocentric Hand Track and Object-based Human Action Recognition
Georgios Kapidis, Ronald Poppe, Elsbeth van Dam +2
Egocentric vision is an emerging field of computer vision that is characterized by the acquisition of images and video from the first person perspective. In this paper we address t…
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis +3
Deep learning approaches have been established as the main methodology for video classification and recognition. Recently, 3-dimensional convolutions have been used to achieve stat…