Zobrazeno 1 - 10
of 6 564
pro vyhledávání: '"Van Gemert, A"'
Water distribution networks (WDNs) are critical systems for our society and detecting leakages is important for minimizing losses and water waste. This makes optimal sensor placement for leakage detection very relevant. Existing sensor placement meth
Externí odkaz:
http://arxiv.org/abs/2412.09965
Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this currently widely adopted convex upsampling approach. We propose a series
Externí odkaz:
http://arxiv.org/abs/2412.06439
This paper presents CleanUMamba, a time-domain neural network architecture designed for real-time causal audio denoising directly applied to raw waveforms. CleanUMamba leverages a U-Net encoder-decoder structure, incorporating the Mamba state-space m
Externí odkaz:
http://arxiv.org/abs/2410.11062
Extracting physical dynamical system parameters from videos is of great interest to applications in natural science and technology. The state-of-the-art in automatic parameter estimation from video is addressed by training supervised deep networks on
Externí odkaz:
http://arxiv.org/abs/2410.01376
Spiking Neural Networks (SNNs) and neuromorphic computing offer bio-inspired advantages such as sparsity and ultra-low power consumption, providing a promising alternative to conventional networks. However, training deep SNNs from scratch remains a c
Externí odkaz:
http://arxiv.org/abs/2410.00580
Autor:
Bobe, Alexandru, van Gemert, Jan C.
Video annotation is a critical and time-consuming task in computer vision research and applications. This paper presents a novel annotation pipeline that uses pre-extracted features and dimensionality reduction to accelerate the temporal video annota
Externí odkaz:
http://arxiv.org/abs/2409.10641
Event cameras offer low-power visual sensing capabilities ideal for edge-device applications. However, their high event rate, driven by high temporal details, can be restrictive in terms of bandwidth and computational resources. In edge AI applicatio
Externí odkaz:
http://arxiv.org/abs/2409.08953
In this paper, we jointly combine image classification and image denoising, aiming to enhance human perception of noisy images captured by edge devices, like low-light security cameras. In such settings, it is important to retain the ability of human
Externí odkaz:
http://arxiv.org/abs/2409.08943
Previous work shows that humans tend to prefer large bounding boxes over small bounding boxes with the same IoU. However, we show here that commonly used object detectors predict large and small boxes equally often. In this work, we investigate how t
Externí odkaz:
http://arxiv.org/abs/2408.10844
Autor:
van Engelenburg, Casper, Mostafavi, Fatemeh, Kuhn, Emanuel, Jeon, Yuntae, Franzen, Michael, Standfest, Matthias, van Gemert, Jan, Khademi, Seyran
Diverse and realistic floor plan data are essential for the development of useful computer-aided methods in architectural design. Today's large-scale floor plan datasets predominantly feature simple floor plan layouts, typically representing single-a
Externí odkaz:
http://arxiv.org/abs/2407.10121