인하대학교 인공지능융합연구센터

ACHIEVEMENTS

주요 성과

연구와 인프라로 증명하는 AI 융합의 성과

국제학술지 논문

2020

  1. Forecasting photovoltaic power generation using satellite images

    Dukhwan Yu, Seowoo Lee, Sangwon Lee and Wonik Choi, Energies, 2020 DOI

  2. Multimodal attention network for continuous-time emotion recognition using video and EEG signals

    Dong Yoon Choi, Deok-Hwan Kim and Byung Cheol Song, IEEE Access, 2020 DOI

  3. Automatic P2P energy trading model based on reinforcement learning using long short-term delayed reward

    Jin-Gyeom Kim and Bowon Lee, Energies, 2020 DOI

  4. Semi-supervised learning for facial expression-based emotion recognition in the continuous domain

    Dong Yoon Choi and Byung Cheol Song, Multimedia Tools and Applications, 2020 DOI

  5. Improving the operational efficiency of parcel delivery network with a bi-level decision making model

    Daisik Nam and Minyoung Park, Sustainability, 2020 DOI

  6. Visual scene-aware hybrid and multi-modal feature aggregation for facial expression recognition

    Min Kyu Lee, Dae Ha Kim and Byung Cheol Song, Sensors, 2020 DOI

  7. Joint face super-resolution and deblurring using generative adversarial network

    Jung Un Yun, Byungho Jo, and In Kyu Park, IEEE Access, 2020 DOI

  8. 360 panorama synthesis from a sparse set of images on a low-power device

    Julius Surya Sumantri and In Kyu Park, IEEE Trans. on Computational Imaging, 2020 DOI

  9. Transformation of non-Euclidean space to Euclidean space for efficient learning of singular vectors

    Seunghyun Lee and Byung Cheol Song, IEEE Access, 2020 DOI

  10. Facial micro-expression recognition using two-dimensional landmark feature maps

    Dong Yoon Choi and Byung Cheol Song, IEEE Access, 2020 DOI

  11. Semi-supervised learning for continuous emotion recognition based on metric learning

    Dong Yoon Choi and Byung Cheol Song, IEEE Access, 2020 DOI

  12. Joint light field spatial and angular super-resolution from a single Image

    Andre Ivan, Williem, In Kyu Park, IEEE Access, 2020 DOI

  13. Online multi-object tracking with visual and radar features

    Seung-Hwan Bae, IEEE Access, 2020 DOI

  14. Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet

    Dae Ha Kim, Seunghyun Lee, Jungho Jeon, Byung Cheol Song, Expert Systems With Applications, 2020 DOI

  15. On spatial keyword covering

    Dong-Wan Choi, Jian Pei, Xuemin Lin, Knowledge and Information Systems, 2020 DOI