Zobrazeno 1 - 10
of 9 884
pro vyhledávání: '"Eunji An"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105264- (2024)
This study investigates the effects of adding micro-sized alumina particles and self-rewetting fluids (n-butanol at 6 wt%, n-pentanol at 2 wt%, and n-hexanol at 0.6 wt%) to distilled water (DW) on the thermal performance of a two-phase closed thermos
Externí odkaz:
https://doaj.org/article/78cfd970645740bb8aef9775455de1d6
Autor:
Lew, Jaihyun, Jang, Soohyuk, Lee, Jaehoon, Yoo, Seungryong, Kim, Eunji, Lee, Saehyung, Mok, Jisoo, Kim, Siwon, Yoon, Sungroh
Transformers, a groundbreaking architecture proposed for Natural Language Processing (NLP), have also achieved remarkable success in Computer Vision. A cornerstone of their success lies in the attention mechanism, which models relationships among tok
Externí odkaz:
http://arxiv.org/abs/2412.04680
Recent large language models (LLMs) have excelled across a wide range of tasks, but their use in high-stakes and compute-limited settings has intensified the demand for interpretability and efficiency. We address this need by proposing Induction-head
Externí odkaz:
http://arxiv.org/abs/2411.00066
Water segmentation is critical to disaster response and water resource management. Authorities may employ high-resolution photography to monitor rivers, lakes, and reservoirs, allowing for more proactive management in agriculture, industry, and conse
Externí odkaz:
http://arxiv.org/abs/2410.15794
The analysis of biophysical neural networks (BNNs) has been a longstanding focus in computational neuroscience. A central yet unresolved challenge in BNN analysis lies in deciphering the correlations between neuronal and synaptic dynamics, their conn
Externí odkaz:
http://arxiv.org/abs/2410.11503
A text encoder within Vision-Language Models (VLMs) like CLIP plays a crucial role in translating textual input into an embedding space shared with images, thereby facilitating the interpretative analysis of vision tasks through natural language. Des
Externí odkaz:
http://arxiv.org/abs/2410.08469
Recent text-to-image models like Stable Diffusion produce photo-realistic images but often show demographic biases. Previous debiasing methods focused on training-based approaches, failing to explore the root causes of bias and overlooking Stable Dif
Externí odkaz:
http://arxiv.org/abs/2408.12692
The extraction of keypoint positions from input hand frames, known as 3D hand pose estimation, is crucial for various human-computer interaction applications. However, current approaches often struggle with the dynamic nature of self-occlusion of han
Externí odkaz:
http://arxiv.org/abs/2407.20542
We present MV2Cyl, a novel method for reconstructing 3D from 2D multi-view images, not merely as a field or raw geometry but as a sketch-extrude CAD model. Extracting extrusion cylinders from raw 3D geometry has been extensively researched in compute
Externí odkaz:
http://arxiv.org/abs/2406.10853
Autor:
Lim, Eunji
We consider the problem of estimating an unknown function f* and its partial derivatives from a noisy data set of n observations, where we make no assumptions about f* except that it is smooth in the sense that it has square integrable partial deriva
Externí odkaz:
http://arxiv.org/abs/2405.10126