Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Shim, Byonghyo"'
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking, 2024
Recent advances in sensing and computer vision (CV) technologies have opened the door for the application of deep learning (DL)-based CV technologies in the realm of 6G wireless communications. For the successful application of this emerging technolo
Externí odkaz:
http://arxiv.org/abs/2409.09330
Terahertz (THz) communications is considered as one of key solutions to support extremely high data demand in 6G. One main difficulty of the THz communication is the severe signal attenuation caused by the foliage loss, oxygen/atmospheric absorption,
Externí odkaz:
http://arxiv.org/abs/2405.07255
Autor:
Kim, Seungnyun, Moon, Jihoon, Kim, Jinhong, Ahn, Yongjun, Kim, Donghoon, Kim, Sunwoo, Shim, Kyuhong, Shim, Byonghyo
Publikováno v:
IEEE Wireless Communications, 2024
Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancement of computer vision (CV) technology to analyze the sensing informatio
Externí odkaz:
http://arxiv.org/abs/2405.03945
In this paper, we present a novel approach for joint activity detection (AD), channel estimation (CE), and data detection (DD) in uplink grant-free non-orthogonal multiple access (NOMA) systems. Our approach employs an iterative and parallel interfer
Externí odkaz:
http://arxiv.org/abs/2403.07255
Unsupervised semantic segmentation (USS) aims to discover and recognize meaningful categories without any labels. For a successful USS, two key abilities are required: 1) information compression and 2) clustering capability. Previous methods have rel
Externí odkaz:
http://arxiv.org/abs/2312.07342
Monocular depth estimation is very challenging because clues to the exact depth are incomplete in a single RGB image. To overcome the limitation, deep neural networks rely on various visual hints such as size, shade, and texture extracted from RGB in
Externí odkaz:
http://arxiv.org/abs/2304.12849
Image text retrieval is a task to search for the proper textual descriptions of the visual world and vice versa. One challenge of this task is the vulnerability to input image and text corruptions. Such corruptions are often unobserved during the tra
Externí odkaz:
http://arxiv.org/abs/2303.05692
Beamforming design with partial channel estimation and feedback for frequency-division duplexing (FDD) reconfigurable intelligent surface (RIS) assisted systems is considered in this paper. We leverage the observation that path angle information (PAI
Externí odkaz:
http://arxiv.org/abs/2302.11997
Generalized zero-shot learning (GZSL) is a technique to train a deep learning model to identify unseen classes using the image attribute. In this paper, we put forth a new GZSL approach exploiting Vision Transformer (ViT) to maximize the attribute-re
Externí odkaz:
http://arxiv.org/abs/2302.00875
Autor:
Lee, Howon, Lee, Byungju, Yang, Heecheol, Kim, Junghyun, Kim, Seungnyun, Shin, Wonjae, Shim, Byonghyo, Poor, H. Vincent
Technology forecasts anticipate a new era in which massive numbers of humans, machines, and things are connected to wireless networks to sense, process, act, and communicate with the surrounding environment in a real-time manner. To make the visions
Externí odkaz:
http://arxiv.org/abs/2301.11111