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Directions

 
AI is Visual Computing

Various research topics in the field of visual computing for the future society, such as virtual reality, metaverse, autonomous driving, games, and robots, are being realized through AI technology.

  • 2021

  • A survey on deep learning-based Monte Carlo denoising

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

  • Combined center dispersion loss function for deep facial expression recognition

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

  • Deep Regression Network-Assisted Efficient Streamline Generation Method

    Joong Youn Lee, Jinah Park
    IEEE ACCESS
    2021

  • DeepFormableTag: end-to-end generation and recognition of deformable fiducial markers

    Mustafa Berk Yaldiz, Andreas Meuleman, Hyeonjoong Jang, Hyunho Ha, Min H. Kim
    ACM TRANSACTIONS ON GRAPHICS
    2021

  • Differentiable Transient Rendering

    Shinyoung Yi, Donggun Kim, KISEOK CHOI, Jarabo, Adrian, Gutierrez, Diego, Min H. Kim
    ACM TRANSACTIONS ON GRAPHICS
    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

  • 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

  • 이미지 분할과 관심 영역 맵 기반 색상 스키마 추출

    김수지, 최성희
    정보과학회논문지
    2021

  • 자기지도학습으로 추론된 특징을 이용한 CT 영상의 보간 방법

    Lim, Joowon, 박진아
    정보과학회논문지
    2021

  • 2020

  • Adaptive Kernel Inference for Dense and Sharp Occupancy Grids

    YOUNGSUN KWON, Moon, BoChang, Sung-Eui Yoon
    2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
    2020

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  • Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection

    Song, H, 김민석, KIM, S, Lee Jae-Gil
    29th ACM International Conference on Information and Knowledge Management, CIKM 2020
    2020

  • Data augmentation method for improving the accuracy of human pose estimation with cropped images

    Soonchan Park, Lee, Sang-baek, Jinah Park
    PATTERN RECOGNITION LETTERS
    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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  • 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

  • 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

  • Simultaneous planning of sampling and optimization: study on lazy evaluation and configuration free space approximation for optimal motion planning algorithm

    Donghyuk Kim, Sung-Eui Yoon
    AUTONOMOUS ROBOTS
    2020

  • TORM: Fast and Accurate Trajectory Optimization of Redundant Manipulator given an End-Effector Path

    Mincheul Kang, Heechan Shin, Donghyuk Kim, Sung-Eui Yoon
    2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
    2020

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  • 2019

  • Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks

    Jung Guk Park, Sungho Jo
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
    2019

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  • Bayesian Weight Decay on Bounded Approximation for Learning Deep Convolutional Neural Networks

    Jung Guk Park, Sungho Jo
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
    2019

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