Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Kim, Hyunseo"'
Active view selection in 3D scene reconstruction has been widely studied since training on informative views is critical for reconstruction. Recently, Neural Radiance Fields (NeRF) variants have shown promising results in active 3D reconstruction usi
Externí odkaz:
http://arxiv.org/abs/2405.02568
Autor:
Kim, Minjin, Kim, Minju, Kim, Hana, Kwak, Beong-woo, Chun, Soyeon, Kim, Hyunseo, Kang, SeongKu, Yu, Youngjae, Yeo, Jinyoung, Lee, Dongha
Conversational recommender system is an emerging area that has garnered an increasing interest in the community, especially with the advancements in large language models (LLMs) that enable diverse reasoning over conversational input. Despite the pro
Externí odkaz:
http://arxiv.org/abs/2403.04460
Current robotic hand manipulation narrowly operates with objects in predictable positions in limited environments. Thus, when the location of the target object deviates severely from the expected location, a robot sometimes responds in an unexpected
Externí odkaz:
http://arxiv.org/abs/2306.05262
Recently, adversarial imitation learning has shown a scalable reward acquisition method for inverse reinforcement learning (IRL) problems. However, estimated reward signals often become uncertain and fail to train a reliable statistical model since t
Externí odkaz:
http://arxiv.org/abs/2210.11201
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 May 2024 313
Autor:
Kim, Taehyeong, Hwang, Injune, Lee, Hyundo, Kim, Hyunseo, Choi, Won-Seok, Lim, Joseph J., Zhang, Byoung-Tak
Active learning is widely used to reduce labeling effort and training time by repeatedly querying only the most beneficial samples from unlabeled data. In real-world problems where data cannot be stored indefinitely due to limited storage or privacy
Externí odkaz:
http://arxiv.org/abs/2012.01227
Autor:
Kim, Taehyeong, Hwang, Injune, Kang, Gi-Cheon, Choi, Won-Seok, Kim, Hyunseo, Zhang, Byoung-Tak
Semi-supervised learning and continuous learning are fundamental paradigms for human-level intelligence. To deal with real-world problems where labels are rarely given and the opportunity to access the same data is limited, it is necessary to apply t
Externí odkaz:
http://arxiv.org/abs/2005.02137
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 November 2024 320
Akademický článek
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Autor:
Jang, Soyeong, Kim, Hyunseo, Wi, S.W., Lim, Hyeontae, Chung, J.-S., Nah, Yoonseo, Kim, Dong Ha, Lee, Y.S.
Publikováno v:
In Journal of Luminescence October 2020 226