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Directions

 
AI is AI-Information Service

Current AI technology is based on various foundational technologies, including machine learning, data mining, and big data analysis, and is deployed in real life through applications such as information retrieval, recommender systems, natural language processing, computer vision, and robotics.

  • 2021

  • A survey on deep learning-based Monte Carlo denoising

    Huo, Yuchi, Sung-Eui Yoon
    COMPUTATIONAL VISUAL MEDIA
    2021

  • An experimental study to understand user experience and perception bias occurred by fact-checking messages

    Park, Sungkyu, Park, Jaimie Yejean, Chin,Hyojin, Kang, Jeong-han, Meeyoung Cha
    2021 World Wide Web Conference, WWW 2021
    2021

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  • Combined center dispersion loss function for deep facial expression recognition

    ABHILASHA NANDA, Woobin Im, Key-Sun CHOI, Hyun S. Yang
    PATTERN RECOGNITION LETTERS
    2021

  • DGC: Dynamic Group Behavior Modeling that utilizes Context Information for Group Recommendation

    Hyunji Jeong, Kwang Hee Lee, Myoung Ho Kim
    KNOWLEDGE-BASED SYSTEMS
    2021

  • I/O Efficient Structural Clustering and Maintenance of Clusters for Large-scale Graphs

    Junghyuk Seo, Myoung Ho Kim
    EXPERT SYSTEMS WITH APPLICATIONS
    2021

  • Instant Panoramic Texture Mapping with Semantic Object Matching for Large-Scale Urban Scene Reproduction

    Park, J, Jeon, Ik-Beom, Sung-Eui Yoon, Woo, W
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
    2021

  • Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images

    Andreas Meuleman, Hyeonjoong Jang, Daniel Jeon, Min H. Kim
    Computer Vision and Pattern Recognition (CVPR) 2021
    2021

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  • Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics

    Seung-Hwan Baek, Ikoma, Hayato, Daniel Jeon, Li, Yuqi, Heidrich, Wolfgang, Wetzstein, Gordon, Min H. Kim
    International Conference on Computer Vision (ICCV)
    2021

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  • TAP: A Transformer based Activity Prediction Exploiting Temporal Relations in Collaborative Tasks

    Kim, Hyunju, Dongman Lee
    19th IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom)
    2021

  • The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

    Nguyen, Giang, Daeyoung KIM, Nguyen, Anh
    Thirty-fifth Conference on Neural Information Processing Systems, NeurIPS 2021
    2021

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  • Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction

    Cho, In-Young, Huo, Yuchi, Sung-Eui Yoon
    ACM TRANSACTIONS ON GRAPHICS
    2021

  • 2020

  • Crowdsourcing in the Development of a Multilingual FrameNet: A Case Study of Korean FrameNet

    Young Gyun Hahm, Noh, Y, Han, Jiyoon, Oh, Taehwan, Choi, Hyonsu, Kim, Hansaem, Key-Sun CHOI
    12th Edition of its Language Resources and Evaluation Conference (LREC 2020)
    2020

  • Deep Physiological Affect Network for the Recognition of Human Emotions

    BYUNG HYUNG KIM, Sungho Jo
    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
    2020

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  • Evaluating Surprise Adequacy for Question Answering

    Seah Kim, Shin Yoo
    42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
    2020

  • Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data

    Kim, Dongmin, Han, Sumin, Son, Heesuk, Dongman Lee
    24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020
    2020

  • Identifying and Quantifying Coordinated Manipulation of Upvotes and Downvotes in Naver News Comments

    Jiwan Jeong, Jeong-han Kang, Sue Moon
    14TH INTERNATIONAL CONFERENCE ON WEB AND SOCIAL MEDIA(ICWSM-2020)
    2020

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  • Inducing Optimal Attributes Representations for Conditional GANs

    Bhattarai, Binod, Kim Tae Kyun
    European Conference on Computer Vision (ECCV 2020)
    2020

  • Online coverage and inspection planning for 3D modeling

    Soohwan Song, Daekyum Kim, Sungho Jo
    AUTONOMOUS ROBOTS
    2020

  • Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning

    Garcia-Hernando, Guillermo, Johns, Edward, Kim Tae Kyun
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    2020

  • Residual Neural Processes

    Lee, Byung-Jun, seunghoon.hong, Kee-Eung Kim
    34th AAAI Conference on Artificial Intelligence (AAAI 2020)
    2020