Search Results - "Oh, Heung‐Seon"

Wav2KWS: Transfer Learning From Speech Representations for Keyword Spotting by Seo, Deokjin, Oh, Heung-Seon, Jung, Yuchul

“…With the expanding development of on-device artificial intelligence, voice-enabled devices such as smart speakers, wearables, and other on-device or edge…”
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MixFace: Improving face verification with a focus on fine‐grained conditions by Jung, Junuk, Son, Sungbin, Park, Joochan, Park, Yongjun, Lee, Seonhoon, Oh, Heung‐Seon

“…The performance of face recognition (FR) has reached a plateau for public benchmark datasets, such as labeled faces in the wild (LFW), celebrities in…”
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Minimally Supervised Relation Identification from Wikipedia Articles by Oh, Heung-Seon, Jung, Yuchul

“…Wikipedia is composed of millions of articles, each of which explains a particular entity with various languages in the real world. Since the articles are…”
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Enhancing the Narrow-down Approach to Large-scale Hierarchical Text Classification with Category Path Information by Oh, Heung-Seon, Jung, Yuchul

“…The narrow-down approach, separately composed of search and classification stages, is an effective way of dealing with large-scale hierarchical text…”
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Cluster-based query expansion using external collections in medical information retrieval by Oh, Heung-Seon, Jung, Yuchul

“…[Display omitted] •We propose a query expansion method which utilizes multiple external collections.•To estimate each relevance model, we use the structure of…”
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External methods to address limitations of using global information on the narrow-down approach for hierarchical text classification by Oh, Heung-Seon, Jung, Yuchul

“…Classifying documents to a large-scale web taxonomy is a challenging research problem because of a large number of categories and associated documents in the…”
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Enhancing the Narrow-down Approach to Large-scale Hierarchical Text Classification with Category Path Information by Oh, Heung-Seon, Jung, Yuchul

“…The narrow-down approach, separately composed of search and classification stages, is an effective way of dealing with large-scale hierarchical text…”
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Utilizing global and path information with language modelling for hierarchical text classification by Oh, Heung-Seon, Myaeng, Sung-Hyon

“…Hierarchical text classification of a Web taxonomy is challenging because it is a very large-scale problem with hundreds of thousands of categories and…”
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Hierarchical Text Classification As Sub-Hierarchy Sequence Generation by Im, SangHun, Kim, Gibaeg, Oh, Heung-Seon, Jo, Seongung, Kim, Donghwan

“…Proceedings of the AAAI Conference on Artificial Intelligence, 37(11), 12933-12941 (2023) Hierarchical text classification (HTC) is essential for various real…”
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System for Evaluation of COVID-19 Prevention Guidelines Compliance by Kim, Seonho, Yeo, Woon-Dong, Oh, Heung-Seon

“…In a catastrophic medical situation caused by an infectious disease, such as COVID-19, it is very important to quickly determine who and where to be tested and…”
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Using Candidate Exploration and Ranking for Abbreviation Resolution in Clinical Document by Jong-Beom Kim, Heung-Seon Oh, Sang-Soo Nam, Sung-Hyon Myaeng

“…In biomedical texts, abbreviations are frequently used due to their inclusion of many technical expressions of some length. Accordingly, appropriate…”
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LidaRefer: Outdoor 3D Visual Grounding for Autonomous Driving with Transformers by Baek, Yeong-Seung, Oh, Heung-Seon

“…3D visual grounding (VG) aims to locate relevant objects or regions within 3D scenes based on natural language descriptions. Although recent methods for indoor…”
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Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition by Jung, Junuk, Lee, Seonhoon, Oh, Heung-Seon, Park, Yongjun, Park, Joochan, Son, Sungbin

“…The goal of face recognition (FR) can be viewed as a pair similarity optimization problem, maximizing a similarity set $\mathcal{S}^p$ over positive pairs,…”
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LAME: Layout Aware Metadata Extraction Approach for Research Articles by Choi, Jongyun, Kong, Hyesoo, Yoon, Hwamook, Oh, Heung-Seon, Jung, Yuchul

“…The volume of academic literature, such as academic conference papers and journals, has increased rapidly worldwide, and research on metadata extraction is…”
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MixFace: Improving Face Verification Focusing on Fine-grained Conditions by Jung, Junuk, Son, Sungbin, Park, Joochan, Park, Yongjun, Lee, Seonhoon, Oh, Heung-Seon

“…The performance of face recognition has become saturated for public benchmark datasets such as LFW, CFP-FP, and AgeDB, owing to the rapid advances in CNNs…”
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