Výsledky vyhledávání - "Park, SungJune"

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Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models

This paper proposes a novel prompt engineering technique called Judgment of Thought (JoT) that is specifically tailored for binary logical reasoning tasks. JoT employs three roles$\unicode{x2014}$lawyer, prosecutor, and judge$\unicode{x2014}$to facil

Externí odkaz: http://arxiv.org/abs/2409.16635

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Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bank

Autor: Park, Sungjune, Kim, Hyunjun, Ro, Yong Man

Pedestrian detection is a crucial field of computer vision research which can be adopted in various real-world applications (e.g., self-driving systems). However, despite noticeable evolution of pedestrian detection, pedestrian representations learne

Externí odkaz: http://arxiv.org/abs/2404.19299

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Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection

Autor: Park, Sungjune, Kim, Hyunjun, Ro, Yong Man

Large language models (LLMs) have shown their capabilities in understanding contextual and semantic information regarding knowledge of instance appearances. In this paper, we introduce a novel approach to utilize the strengths of LLMs in understandin

Externí odkaz: http://arxiv.org/abs/2311.01025

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Meta Input: How to Leverage Off-the-Shelf Deep Neural Networks

Autor: Kim, Minsu, Yu, Youngjoon, Park, Sungjune, Ro, Yong Man

These days, although deep neural networks (DNNs) have achieved a noticeable progress in a wide range of research area, it lacks the adaptability to be employed in the real-world applications because of the environment discrepancy problem. Such a prob

Externí odkaz: http://arxiv.org/abs/2210.13186

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