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pro vyhledávání: '"A A, Raouf"'
Machine vision systems, which can efficiently manage extensive visual perception tasks, are becoming increasingly popular in industrial production and daily life. Due to the challenge of simultaneously obtaining accurate depth and texture information
Externí odkaz:
http://arxiv.org/abs/2409.04123
Autor:
Sulaiman, Muhammad, Ahmadi, Mahdieh, Sun, Bo, Saha, Niloy, Salahuddin, Mohammad A., Boutaba, Raouf, Saleh, Aladdin
A pivotal attribute of 5G networks is their capability to cater to diverse application requirements. This is achieved by creating logically isolated virtual networks, or slices, with distinct service level agreements (SLAs) tailored to specific use c
Externí odkaz:
http://arxiv.org/abs/2407.18342
In many applications, including surveillance, entertainment, and restoration, there is a need to increase both the spatial resolution and the frame rate of a video sequence. The aim is to improve visual quality, refine details, and create a more real
Externí odkaz:
http://arxiv.org/abs/2407.16965
Publikováno v:
IEEE Signal Processing Letters, 2024
In point cloud geometry compression, most octreebased context models use the cross-entropy between the onehot encoding of node occupancy and the probability distribution predicted by the context model as the loss. This approach converts the problem o
Externí odkaz:
http://arxiv.org/abs/2407.08528
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 14, no. 2, pp. 224-234, Jun. 2024
In point cloud geometry compression, context models usually use the one-hot encoding of node occupancy as the label, and the cross-entropy between the one-hot encoding and the probability distribution predicted by the context model as the loss functi
Externí odkaz:
http://arxiv.org/abs/2407.08520
By converting low-frame-rate, low-resolution videos into high-frame-rate, high-resolution ones, space-time video super-resolution techniques can enhance visual experiences and facilitate more efficient information dissemination. We propose a convolut
Externí odkaz:
http://arxiv.org/abs/2407.08466
Publikováno v:
Computational Visual Media, 2024
Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose
Externí odkaz:
http://arxiv.org/abs/2407.05677
Autor:
Salih, Kocher Omer, Mohammed, Aram Akram, Faraj, Jamal Mahmood, Raouf, Anwar Mohammed, Tahir, Nawroz Abdul-Razzak
The study was conducted to determine the best irrigation frequency for rooting hardwood cuttings of some pomegranate genotypes that are cultivated in Halabja province, Kurdistan Region, Iraq. The hardwood cuttings were collected from 11 genotypes, wh
Externí odkaz:
http://arxiv.org/abs/2407.00408
Autor:
Zhang, Bohan, Hu, Peng, Azirani, Ahmad Akbari, Salahuddin, Mohammad A., Barradas, Diogo, Limam, Noura, Boutaba, Raouf
The growing low-Earth orbit (LEO) satellite constellations have become an essential part of the fifth-generation (5G) non-terrestrial network (NTN) market. These satellites can enable direct-to-cell connectivity for mobile devices and support various
Externí odkaz:
http://arxiv.org/abs/2403.13936
Impact of bright-dark exciton thermal population mixing on the brightness of CsPbBr$_3$ nanocrystals
Understanding the interplay between bright and dark exciton states is crucial for deciphering the luminescence properties of low-dimensional materials. The origin of the outstanding brightness of lead halide perovskites remains elusive. Here, we anal
Externí odkaz:
http://arxiv.org/abs/2403.04540