Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Hellwich, Olaf"'
Facial expression perception in humans inherently relies on prior knowledge and contextual cues, contributing to efficient and flexible processing. For instance, multi-modal emotional context (such as voice color, affective text, body pose, etc.) can
Externí odkaz:
http://arxiv.org/abs/2409.02566
In this work, we introduce a deep-learning framework designed for estimating dense image correspondences. Our fully convolutional model generates dense feature maps for images, where each pixel is associated with a descriptor that can be matched acro
Externí odkaz:
http://arxiv.org/abs/2408.02766
This paper introduces a novel computational approach for analyzing nonverbal social behavior in educational settings. Integrating multimodal behavioral cues, including facial expressions, gesture intensity, and spatial dynamics, the model assesses th
Externí odkaz:
http://arxiv.org/abs/2407.17209
Autor:
Halawa, Marah, Blume, Florian, Bideau, Pia, Maier, Martin, Rahman, Rasha Abdel, Hellwich, Olaf
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 4604-4614
Human communication is multi-modal; e.g., face-to-face interaction involves auditory signals (speech) and visual signals (face movements and hand gestures). Hence, it is essential to exploit multiple modalities when designing machine learning-based f
Externí odkaz:
http://arxiv.org/abs/2404.10904
When taking images of some occluded content, one is often faced with the problem that every individual image frame contains unwanted artifacts, but a collection of images contains all relevant information if properly aligned and aggregated. In this p
Externí odkaz:
http://arxiv.org/abs/2310.11605
Image alignment and image restoration are classical computer vision tasks. However, there is still a lack of datasets that provide enough data to train and evaluate end-to-end deep learning models. Obtaining ground-truth data for image alignment requ
Externí odkaz:
http://arxiv.org/abs/2305.12036
In this work, we present a method for landmark retrieval that utilizes global and local features. A Siamese network is used for global feature extraction and metric learning, which gives an initial ranking of the landmark search. We utilize the extra
Externí odkaz:
http://arxiv.org/abs/2208.04201
Defects increase the cost and duration of construction projects as they require significant inspection and documentation efforts. Automating defect detection could significantly reduce these efforts. This work focuses on detecting honeycombs, a subst
Externí odkaz:
http://arxiv.org/abs/2208.02313
Trajectory prediction is an essential task for successful human robot interaction, such as in autonomous driving. In this work, we address the problem of predicting future pedestrian trajectories in a first person view setting with a moving camera. T
Externí odkaz:
http://arxiv.org/abs/2207.08664
Autor:
Shi, Haiyang, Zhang, Yu, Luo, Geping, Hellwich, Olaf, Zhang, Wenqiang, Xie, Mingjuan, Gao, Ruixiang, Kurban, Alishir, De Maeyer, Philippe, Van de Voorde, Tim
Publikováno v:
In Journal of Hydrology September 2024 641
