Search Results - "Bae, Kyunghoon"

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  1. 1

    Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders by Jang, Jongseong, Kyung, Daeun, Kim, Seung Hwan, Lee, Honglak, Bae, Kyunghoon, Choi, Edward

    Published in Scientific reports (05-10-2024)
    “…Deep neural networks are increasingly used in medical imaging for tasks such as pathological classification, but they face challenges due to the scarcity of…”
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    Journal Article
  2. 2

    Real-time face detection based on adaptive downsizing and skin filter for HD camera by Seungji Yang, Kyunghoon Bae

    “…The paper presents a novel face detection scheme that enables real-time processing with low false-alarm rate in HD videos. The proposed method includes an…”
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    Conference Proceeding
  3. 3

    L-Verse: Bidirectional Generation Between Image and Text by Kim, Taehoon, Song, Gwangmo, Lee, Sihaeng, Kim, Sangyun, Seo, Yewon, Lee, Soonyoung, Kim, Seung Hwan, Lee, Honglak, Bae, Kyunghoon

    “…Far beyond learning long-range interactions of natural language, transformers are becoming the de-facto standard for many vision tasks with their power and…”
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    Conference Proceeding
  4. 4

    ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection by Hyun, Jeeho, Kim, Sangyun, Jeon, Giyoung, Kim, Seung Hwan, Bae, Kyunghoon, Kang, Byung Jun

    “…Anomaly detection is crucial to the advanced identification of product defects such as incorrect parts, misaligned components, and damages in industrial…”
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    Conference Proceeding
  5. 5

    Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders by Jang, Jongseong, Kyung, Daeun, Kim, Seung Hwan, Lee, Honglak, Bae, Kyunghoon, Choi, Edward

    Published 11-10-2024
    “…Sci Rep 14, 23199 (2024) Deep neural networks are increasingly used in medical imaging for tasks such as pathological classification, but they face challenges…”
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    Journal Article
  6. 6

    Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks by Lee, Changho, Han, Janghoon, Ye, Seonghyeon, Choi, Stanley Jungkyu, Lee, Honglak, Bae, Kyunghoon

    Published 25-04-2024
    “…Instruction tuning has been proven effective in enhancing zero-shot generalization across various tasks and in improving the performance of specific tasks. For…”
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    Journal Article
  7. 7

    AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents by Fu, Yao, Kim, Dong-Ki, Kim, Jaekyeom, Sohn, Sungryull, Logeswaran, Lajanugen, Bae, Kyunghoon, Lee, Honglak

    Published 13-03-2024
    “…The primary limitation of large language models (LLMs) is their restricted understanding of the world. This poses significant difficulties for LLM-based…”
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    Journal Article
  8. 8

    ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection by Hyun, Jeeho, Kim, Sangyun, Jeon, Giyoung, Kim, Seung Hwan, Bae, Kyunghoon, Kang, Byung Jun

    Published 26-05-2023
    “…Anomaly detection is crucial to the advanced identification of product defects such as incorrect parts, misaligned components, and damages in industrial…”
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    Journal Article
  9. 9

    ANNA: Enhanced Language Representation for Question Answering by Jun, Changwook, Jang, Hansol, Sim, Myoseop, Kim, Hyun, Choi, Jooyoung, Min, Kyungkoo, Bae, Kyunghoon

    Published 28-03-2022
    “…ACL 2022 Workshop RepL4NLP Submission Pre-trained language models have brought significant improvements in performance in a variety of natural language…”
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    Journal Article
  10. 10

    L-Verse: Bidirectional Generation Between Image and Text by Kim, Taehoon, Song, Gwangmo, Lee, Sihaeng, Kim, Sangyun, Seo, Yewon, Lee, Soonyoung, Kim, Seung Hwan, Lee, Honglak, Bae, Kyunghoon

    Published 22-11-2021
    “…Far beyond learning long-range interactions of natural language, transformers are becoming the de-facto standard for many vision tasks with their power and…”
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    Journal Article
  11. 11
  12. 12

    Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation by Sattarzadeh, Sam, Sudhakar, Mahesh, Lem, Anthony, Mehryar, Shervin, Plataniotis, K. N, Jang, Jongseong, Kim, Hyunwoo, Jeong, Yeonjeong, Lee, Sangmin, Bae, Kyunghoon

    Published 01-10-2020
    “…As an emerging field in Machine Learning, Explainable AI (XAI) has been offering remarkable performance in interpreting the decisions made by Convolutional…”
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    Journal Article