Zobrazeno 1 - 10
of 25 613
pro vyhledávání: '"Park, In‐Hyun"'
Autor:
Kim, Kyu-Young, Lee, Jin Hee, Jeon, Woong Bae, Park, Dong Hyun, Park, Suk In, Song, Jin Dong, Lee, Changhyoup, Kim, Je-Hyung
Cooperative effects such as super(sub)radiance in quantum systems arise from the interplay among quantum emitters. While bright superradiant states have been extensively studied and yielded significant insights into cooperative phenomena, subradiant
Externí odkaz:
http://arxiv.org/abs/2412.09252
Text-to-image (T2I) models can effectively capture the content or style of reference images to perform high-quality customization. A representative technique for this is fine-tuning using low-rank adaptations (LoRA), which enables efficient model cus
Externí odkaz:
http://arxiv.org/abs/2412.09169
Autor:
Lee, Junhyeok, Oh, Yujin, Lee, Dahyoun, Joh, Hyon Keun, Sohn, Chul-Ho, Baik, Sung Hyun, Jung, Cheol Kyu, Park, Jung Hyun, Choi, Kyu Sung, Kim, Byung-Hoon, Ye, Jong Chul
Acute ischemic stroke (AIS) requires time-critical management, with hours of delayed intervention leading to an irreversible disability of the patient. Since diffusion weighted imaging (DWI) using the magnetic resonance image (MRI) plays a crucial ro
Externí odkaz:
http://arxiv.org/abs/2411.15490
Autor:
Park, Do-Hyun, Jeon, Min-Wook, Jeong, Jinwoo, Sim, Isaac, Yun, Sangbom, Seo, Junghyun, Kim, Hyoung-Nam
Electronic warfare support (ES) systems intercept adversary radar signals and estimate various types of signal information, including modulation schemes. The accurate and rapid identification of modulation schemes under conditions of very low signal
Externí odkaz:
http://arxiv.org/abs/2411.15104
The rising demand for remote-sensing systems for detecting hazardous situations has led to increased interest in radar-based human activity recognition (HAR). Conventional radar-based HAR methods predominantly rely on micro-Doppler spectrograms for r
Externí odkaz:
http://arxiv.org/abs/2411.15057
TIPO (Text to Image with text pre-sampling for Prompt Optimization) is an innovative framework designed to enhance text-to-image (T2I) generation by language model (LM) for automatic prompt engineering. By refining and extending user-provided prompts
Externí odkaz:
http://arxiv.org/abs/2411.08127
Diffusion models have seen notable success in continuous domains, leading to the development of discrete diffusion models (DDMs) for discrete variables. Despite recent advances, DDMs face the challenge of slow sampling speeds. While parallel sampling
Externí odkaz:
http://arxiv.org/abs/2410.07761
Autor:
Lee, Seongyun, Kim, Geewook, Kim, Jiyeon, Lee, Hyunji, Chang, Hoyeon, Park, Sue Hyun, Seo, Minjoon
Vision-Language adaptation (VL adaptation) transforms Large Language Models (LLMs) into Large Vision-Language Models (LVLMs) for multimodal tasks, but this process often compromises the inherent safety capabilities embedded in the original LLMs. Desp
Externí odkaz:
http://arxiv.org/abs/2410.07571
Autor:
Park, Sang Hyun, Koh, Jun Young, Lee, Junha, Song, Joy, Kim, Dongha, Moon, Hoyeon, Lee, Hyunju, Song, Min
In this work, we share the insights for achieving state-of-the-art quality in our text-to-image anime image generative model, called Illustrious. To achieve high resolution, dynamic color range images, and high restoration ability, we focus on three
Externí odkaz:
http://arxiv.org/abs/2409.19946
In a private database query scheme (PDQ), a server maintains a database, and users send queries to retrieve records of interest from the server while keeping their queries private. A crucial step in PDQ protocols based on homomorphic encryption is ho
Externí odkaz:
http://arxiv.org/abs/2408.17063