Zobrazeno 1 - 10
of 574
pro vyhledávání: '"Kim Donguk"'
Autor:
Kim, Donguk, Moon, Taeuk, Sung, Choongki, Yoon, Eisung, Yi, Sumin, Kang, Jisung, Kwon, Jae-Min, Görler, Tobias, Belli, Emily, Candy, Jeff
This study presents a cross-verification of fast ion effects on turbulence through a systematic comparison of two leading gyrokinetic codes, GENE [F. Jenko et al., Phys. Plasmas 7 1904-1910 (2000)] and CGYRO [J. Candy et al, J. Comput. Phys. 324 73-9
Externí odkaz:
http://arxiv.org/abs/2408.13731
Autor:
Nugroho, Muhammad Adi, Woo, Sangmin, Lee, Sumin, Park, Jinyoung, Wang, Yooseung, Kim, Donguk, Kim, Changick
Weakly-Supervised Group Activity Recognition (WSGAR) aims to understand the activity performed together by a group of individuals with the video-level label and without actor-level labels. We propose Flow-Assisted Motion Learning Network (Flaming-Net
Externí odkaz:
http://arxiv.org/abs/2405.18012
Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
This study addresses the issue observed in Large Vision Language Models (LVLMs), where excessive attention on a few image tokens, referred to as blind tokens, leads to hallucinatory responses in tasks requiring fine-grained understanding of visual ob
Externí odkaz:
http://arxiv.org/abs/2405.17820
Recent advancements in Large Vision Language Models (LVLMs) have revolutionized how machines understand and generate textual responses based on visual inputs. Despite their impressive capabilities, they often produce "hallucinatory" outputs that do n
Externí odkaz:
http://arxiv.org/abs/2405.17821
Autor:
Zhang, Chaoning, Zhang, Chenshuang, Zheng, Sheng, Qiao, Yu, Li, Chenghao, Zhang, Mengchun, Dam, Sumit Kumar, Thwal, Chu Myaet, Tun, Ye Lin, Huy, Le Luang, kim, Donguk, Bae, Sung-Ho, Lee, Lik-Hang, Yang, Yang, Shen, Heng Tao, Kweon, In So, Hong, Choong Seon
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond. With such overwhelming media coverage, it is almost impossible for us to miss
Externí odkaz:
http://arxiv.org/abs/2303.11717
We present HOReeNet, which tackles the novel task of manipulating images involving hands, objects, and their interactions. Especially, we are interested in transferring objects of source images to target images and manipulating 3D hand postures to ti
Externí odkaz:
http://arxiv.org/abs/2211.06195
This report describes our 1st place solution to ECCV 2022 challenge on Human Body, Hands, and Activities (HBHA) from Egocentric and Multi-view Cameras (hand pose estimation). In this challenge, we aim to estimate global 3D hand poses from the input i
Externí odkaz:
http://arxiv.org/abs/2210.11384
Autor:
Bora, Tonmoy J., Gour, Nand K., Saikia, Lakshi, Bora, Unnati, Hazarika, Nitumoni, Kim, Donguk, Park, Young-Bin, Saha, Rafikul Ali, Devi, Arpita, Karunakar, Galla V., Zaki, Magdi E.A., Bania, Kusum K.
Publikováno v:
In Applied Catalysis A, General 5 February 2025 691
Publikováno v:
In Surfaces and Interfaces 1 January 2025 56
Publikováno v:
In Journal of Asia-Pacific Biodiversity 1 September 2024 17(3):464-470