Zobrazeno 1 - 10
of 24 919
pro vyhledávání: '"Poggi, A."'
Event stereo matching is an emerging technique to estimate depth from neuromorphic cameras; however, events are unlikely to trigger in the absence of motion or the presence of large, untextured regions, making the correspondence problem extremely cha
Externí odkaz:
http://arxiv.org/abs/2408.04633
Autor:
Truong, Huy, Poggi-Corradini, Pietro
Homogeneous matroids are characterized by the property that strength equals fractional arboricity, and arise in the study of base modulus [22]. For graphic matroids, Cunningham [9] provided efficient algorithms for calculating graph strength, and als
Externí odkaz:
http://arxiv.org/abs/2408.00173
Autor:
Babson, Eric, Duchin, Moon, Iseli, Annina, Poggi-Corradini, Pietro, Thurston, Dylan, Tucker-Foltz, Jamie
There are numerous randomized algorithms to generate spanning trees in a given ambient graph; several target the uniform distribution on trees (UST), while in practice the fastest and most frequently used draw random weights on the edges and then emp
Externí odkaz:
http://arxiv.org/abs/2407.20226
In recent years, many forensic detectors have been proposed to detect AI-generated images and prevent their use for malicious purposes. Convolutional neural networks (CNNs) have long been the dominant architecture in this field and have been the subj
Externí odkaz:
http://arxiv.org/abs/2407.19553
We present a novel approach designed to address the complexities posed by challenging, out-of-distribution data in the single-image depth estimation task. Starting with images that facilitate depth prediction due to the absence of unfavorable factors
Externí odkaz:
http://arxiv.org/abs/2407.16698
Stereo matching is close to hitting a half-century of history, yet witnessed a rapid evolution in the last decade thanks to deep learning. While previous surveys in the late 2010s covered the first stage of this revolution, the last five years of res
Externí odkaz:
http://arxiv.org/abs/2407.07816
Autor:
Buono, Elia, Katul, Gabriel, Heisel, Michael, Vettori, Davide, Poggi, Davide, Peruzzi, Cosimo, Manes, Costantino
We provide empirical evidence that within the inertial sub layer of adiabatic turbulent flows over smooth walls, the skewness of the vertical velocity component $Sk_w$ displays universal behaviour, being constant and constrained within the range $Sk_
Externí odkaz:
http://arxiv.org/abs/2407.05955
Autor:
Ciotola, Matteo, Guarino, Giuseppe, Vivone, Gemine, Poggi, Giovanni, Chanussot, Jocelyn, Plaza, Antonio, Scarpa, Giuseppe
Hyperspectral pansharpening consists of fusing a high-resolution panchromatic band and a low-resolution hyperspectral image to obtain a new image with high resolution in both the spatial and spectral domains. These remote sensing products are valuabl
Externí odkaz:
http://arxiv.org/abs/2407.01355
This paper presents a novel general-purpose stereo and depth data fusion paradigm that mimics the active stereo principle by replacing the unreliable physical pattern projector with a depth sensor. It works by projecting virtual patterns consistent w
Externí odkaz:
http://arxiv.org/abs/2406.04345
Autor:
Shao, Jiahao, Yang, Yuanbo, Zhou, Hongyu, Zhang, Youmin, Shen, Yujun, Poggi, Matteo, Liao, Yiyi
This work addresses the challenge of video depth estimation, which expects not only per-frame accuracy but, more importantly, cross-frame consistency. Instead of directly developing a depth estimator from scratch, we reformulate the prediction task i
Externí odkaz:
http://arxiv.org/abs/2406.01493