Zobrazeno 1 - 10
of 1 559
pro vyhledávání: '"Kwanghoon An"'
Autor:
Younguk Kim, Alebel Mekuriaw Abebe, Jaeyoung Kim, Suyoung Hong, Kwanghoon An, Jeehyoung Shim, Jeongho Baek
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Milk thistle, Silybum marianum (L.), is a well-known medicinal plant used for the treatment of liver diseases due to its high content of silymarin. The seeds contain elaiosome, a fleshy structure attached to the seeds, which is believed to be a rich
Externí odkaz:
https://doaj.org/article/4c8326f46eb0478dbdb113581b6589b9
Exemplar-guided image translation, synthesizing photo-realistic images that conform to both structural control and style exemplars, is attracting attention due to its ability to enhance user control over style manipulation. Previous methodologies hav
Externí odkaz:
http://arxiv.org/abs/2410.09802
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
Source-Free domain adaptive Object Detection (SFOD) is a promising strategy for deploying trained detectors to new, unlabeled domains without accessing source data, addressing significant concerns around data privacy and efficiency. Most SFOD methods
Externí odkaz:
http://arxiv.org/abs/2407.13524
Open-world semi-supervised learning (OWSSL) extends conventional semi-supervised learning to open-world scenarios by taking account of novel categories in unlabeled datasets. Despite the recent advancements in OWSSL, the success often relies on the a
Externí odkaz:
http://arxiv.org/abs/2405.20829
We present a new multi-modal face image generation method that converts a text prompt and a visual input, such as a semantic mask or scribble map, into a photo-realistic face image. To do this, we combine the strengths of Generative Adversarial netwo
Externí odkaz:
http://arxiv.org/abs/2405.04356
This paper introduces VLAP, a novel approach that bridges pretrained vision models and large language models (LLMs) to make frozen LLMs understand the visual world. VLAP transforms the embedding space of pretrained vision models into the LLMs' word e
Externí odkaz:
http://arxiv.org/abs/2404.09632
Visual scenes are naturally organized in a hierarchy, where a coarse semantic is recursively comprised of several fine details. Exploring such a visual hierarchy is crucial to recognize the complex relations of visual elements, leading to a comprehen
Externí odkaz:
http://arxiv.org/abs/2404.00974
Given the inevitability of domain shifts during inference in real-world applications, test-time adaptation (TTA) is essential for model adaptation after deployment. However, the real-world scenario of continuously changing target distributions presen
Externí odkaz:
http://arxiv.org/abs/2311.05858
Autor:
Sharma, Roshan, Kim, Suyoun, Lazar, Daniel, Le, Trang, Shrivastava, Akshat, Ahn, Kwanghoon, Kansal, Piyush, Sari, Leda, Kalinli, Ozlem, Seltzer, Michael
Spoken semantic parsing (SSP) involves generating machine-comprehensible parses from input speech. Training robust models for existing application domains represented in training data or extending to new domains requires corresponding triplets of spe
Externí odkaz:
http://arxiv.org/abs/2309.09390
Aerial-to-ground image synthesis is an emerging and challenging problem that aims to synthesize a ground image from an aerial image. Due to the highly different layout and object representation between the aerial and ground images, existing approache
Externí odkaz:
http://arxiv.org/abs/2308.06945