712 citations · 2.4k across the 67 of their papers we have counts for
6 papers · 1 filter
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
Donghoon Kim, Gusang Lee, Kyuhong Shim +1
Recently, we have observed that Large Multi-modal Models (LMMs) are revolutionizing the way machines interact with the world, unlocking new possibilities across various multi-modal…
Transformer-assisted Parametric CSI Feedback for mmWave Massive MIMO Systems
Hyungyu Ju, Seokhyun Jeong, Seungnyun Kim +2
As a key technology to meet the ever-increasing data rate demand in beyond 5G and 6G communications, millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems…
VOMTC: Vision Objects for Millimeter and Terahertz Communications
Sunwoo Kim, Yongjun Ahn, Daeyoung Park +1
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 co…
Deep Learning-aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems
Jinhong Kim, Yongjun Ahn, Seungnyun Kim +1
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…
Role of Sensing and Computer Vision in 6G Wireless Communications
Seungnyun Kim, Jihoon Moon, Jinhong Kim +5
Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancemen…
Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
Yongjeong Oh, Jaehong Jo, Byonghyo Shim +1
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 (…