Search Results - "Lee, Kyoungoh"

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  1. 1

    A Selective Expression Manipulation with Parametric 3D Facial Model by Kang, Jiwoo, Song, Hyewon, Lee, Kyoungoh, Lee, Sanghoon

    Published in IEEE access (01-01-2023)
    “…This paper proposes a novel method to represent expressive 3D facial shapes called the Selective Expression Manipulation (SEM) by fitting the expression…”
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    Journal Article
  2. 2

    Optimal Flow Rate Control for SDN-Based Naval Systems by Lee, Kyoungoh, Kwon, Beom, Kang, Jiwoo, Heo, Suwoong, Lee, Sanghoon

    “…It is essential for a naval ship system (NSS) to transmit important information with very low delay for successful network-centric warfare under given time…”
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    Journal Article
  3. 3

    Implementation of a Virtual Training Simulator Based on 360° Multi-View Human Action Recognition by Kwon, Beom, Kim, Junghwan, Lee, Kyoungoh, Lee, Yang Koo, Park, Sangjoon, Lee, Sanghoon

    Published in IEEE access (01-01-2017)
    “…Virtual training has received a considerable amount of research attention in recent years due to its potential for use in a variety of applications, such as…”
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    Journal Article
  4. 4

    From Human Pose Similarity Metric to 3D Human Pose Estimator: Temporal Propagating LSTM Networks by Lee, Kyoungoh, Kim, Woojae, Lee, Sanghoon

    “…Predicting a 3D pose directly from a monocular image is a challenging problem. Most pose estimation methods proposed in recent years have shown…”
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    Journal Article
  5. 5

    Self-Updatable Database System Based on Human Motion Assessment Framework by Lee, Kyoungoh, Park, Yeseung, Huh, Jungwoo, Kang, Jiwoo, Lee, Sanghoon

    “…Recently, human motion-centric videos have been attracting attention in the field of computer vision. Observing and detecting human motion in intelligent…”
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    Journal Article
  6. 6

    Optimal Camera Point Selection Toward the Most Preferable View of 3-D Human Pose by Kwon, Beom, Huh, Jungwoo, Lee, Kyoungoh, Lee, Sanghoon

    “…Answering the question "what is the most preferable view of a three-dimensional (3-D) human model?" is a challenge in computer vision, computer graphics, and…”
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    Journal Article
  7. 7

    TRET: Two Stream-Based Regionally Enhanced Transformers for Person Re-Identification by Lee, Kyoungoh, Kim, Kwang-Ju, Kim, Pyong-Kun, Jang, In-Su

    “…Person Re-IDentification (ReID) is a pivotal method for pedestrian tracking and retrieval. This research is inherently challenged by large changes in…”
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    Conference Proceeding
  8. 8

    Environment Adaptive 3D Pose Estimation Model and Learning Strategy by Park, Yeseung, Lee, Kyoungoh, Lee, Sanghoon

    “…Recently, 3D pose estimation models using deep learning structures have begun to show outstanding performance. However, the performance is guaranteed only for…”
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    Conference Proceeding
  9. 9

    MOVES: Motion-Oriented VidEo Sampling for Natural Language-Based Vehicle Retrieval by Kim, Dongyoung, Lee, Kyoungoh, Jang, In-Su, Kim, Kwang-Ju, Kim, Pyong-Kun, Yoo, Jaejun

    “…Retrieving the target vehicle through natural language descriptions plays a crucial role in intelligent transportation systems. Existing methods tackle this…”
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    Conference Proceeding
  10. 10

    Observation Centric and Central Distance Recovery on Sports Player Tracking by Huang, Hsiang-Wei, Yang, Cheng-Yen, Hwang, Jenq-Neng, Kim, Pyong-Kun, Kim, Kwangju, Lee, Kyoungoh

    Published 27-09-2022
    “…Multi-Object Tracking over humans has improved rapidly with the development of object detection and re-identification. However, multi-actor tracking over…”
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    Journal Article
  11. 11

    Data reduction using cluster sampling by Park, Yeseung, Jang, Mingyu, Huh, Jungwoo, Lee, Kyoungoh, Lee, Sanghoon

    “…It is natural to use larger and more diverse datasets to get better performance in pose study. Learning with a large scale is essential to improve the model…”
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    Conference Proceeding
  12. 12

    REET: Region-Enhanced Transformer for Person Re-Identification by Lee, Kyoungoh, Jang, In-Su, Kim, Kwang-Ju, Kim, Pyong-Kun

    “…Person re-identification (ReID) plays a significant role in intelligent surveillance systems. However, it is challenging due to large variations in the…”
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    Conference Proceeding
  13. 13

    Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports by Huang, Hsiang-Wei, Yang, Cheng-Yen, Sun, Jiacheng, Kim, Pyong-Kun, Kim, Kwang-Ju, Lee, Kyoungoh, Huang, Chung-I, Hwang, Jenq-Neng

    Published 22-06-2023
    “…Deep learning-based object detectors have driven notable progress in multi-object tracking algorithms. Yet, current tracking methods mainly focus on simple,…”
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    Journal Article
  14. 14

    A Simple Method on Generating Synthetic Data for Training Real-time Object Detection Networks by Huh, Jungwoo, Lee, Kyoungoh, Lee, Inwoong, Lee, Sanghoon

    “…Environment recognition has been an important topic ever since the emergence of augmented reality (AR). For better experience in AR applications, environment…”
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    Conference Proceeding
  15. 15

    Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment by Huang, Hsiang-Wei, Yang, Cheng-Yen, Jiang, Zhongyu, Kim, Pyong-Kun, Lee, Kyoungoh, Kim, Kwangju, Ramkumar, Samartha, Mullapudi, Chaitanya, Jang, In-Su, Huang, Chung-I, Hwang, Jenq-Neng

    Published 19-04-2023
    “…Multi-camera multiple people tracking has become an increasingly important area of research due to the growing demand for accurate and efficient indoor people…”
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    Journal Article
  16. 16

    Observation Centric and Central Distance Recovery for Athlete Tracking by Huang, Hsiang-Wei, Yang, Cheng-Yen, Ramkumar, Samartha, Huang, Chung-I, Hwang, Jenq-Neng, Kim, Pyong-Kun, Lee, Kyoungoh, Kim, Kwangju

    “…Multi-Object Tracking on humans has improved rapidly with the development of object detection and re-identification algorithms. However, multi-actor tracking…”
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    Conference Proceeding
  17. 17

    Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports by Huang, Hsiang-Wei, Yang, Cheng-Yen, Sun, Jiacheng, Kim, Pyong-Kun, Kim, Kwang-Ju, Lee, Kyoungoh, Huang, Chung-I, Hwang, Jenq-Neng

    “…Deep learning-based object detectors have driven no-table progress in multi-object tracking algorithms. Yet, current tracking methods mainly focus on simple,…”
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    Conference Proceeding
  18. 18
  19. 19

    1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results by Kiefer, Benjamin, Kristan, Matej, Pers, Janez, Zust, Lojze, Poiesi, Fabio, De Alcantara Andrade, Fabio Augusto, Bernardino, Alexandre, Dawkins, Matthew, Raitoharju, Jenni, Quan, Yitong, Atmaca, Adem, Hofer, Timon, Zhang, Qiming, Xu, Yufei, Zhang, Jing, Tao, Dacheng, Sommer, Lars, Spraul, Raphael, Zhao, Hangyue, Zhang, Hongpu, Zhao, Yanyun, Augustin, Jan Lukas, Jeon, Eui-Ik, Lee, Impyeong, Zedda, Luca, Loddo, Andrea, Di Ruberto, Cecilia, Verma, Sagar, Gupta, Siddharth, Muralidhara, Shishir, Hegde, Niharika, Xing, Daitao, Evangeliou, Nikolaos, Tzes, Anthony, Bartl, Vojtech, Spanhel, Jakub, Herout, Adam, Bhowmik, Neelanjan, Breckon, Toby P., Kundargi, Shivanand, Anvekar, Tejas, Tabib, Ramesh Ashok, Mudengudi, Uma, Vats, Arpita, Song, Yang, Liu, Delong, Li, Yonglin, Li, Shuman, Tan, Chenhao, Lan, Long, Somers, Vladimir, De Vleeschouwer, Christophe, Alahi, Alexandre, Huang, Hsiang-Wei, Yang, Cheng-Yen, Hwang, Jenq-Neng, Kim, Pyong-Kun, Kim, Kwangju, Lee, Kyoungoh, Jiang, Shuai, Li, Haiwen, Ziqiang, Zheng, Vu, Tuan-Anh, Nguyen-Truong, Hai, Yeung, Sai-Kit, Jia, Zhuang, Yang, Sophia, Hsu, Chih-Chung, Hou, Xiu-Yu, Jhang, Yu-An, Yang, Simon, Yang, Mau-Tsuen

    “…The 1 st Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle…”
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    Conference Proceeding
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