Search Results - "Yang, Heekyung"

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  1. 1

    A Multi-Column CNN Model for Emotion Recognition from EEG Signals by Yang, Heekyung, Han, Jongdae, Min, Kyungha

    Published in Sensors (Basel, Switzerland) (31-10-2019)
    “…We present a multi-column CNN-based model for emotion recognition from EEG signals. Recently, a deep neural network is widely employed for extracting features…”
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    Journal Article
  2. 2

    EEG-Based Estimation on the Reduction of Negative Emotions for Illustrated Surgical Images by Yang, Heekyung, Han, Jongdae, Min, Kyungha

    Published in Sensors (Basel, Switzerland) (11-12-2020)
    “…Electroencephalogram (EEG) biosignals are widely used to measure human emotional reactions. The recent progress of deep learning-based classification models…”
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    Journal Article
  3. 3

    Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition by Yang, Heekyung, Han, Jongdae, Min, Kyungha

    Published in Sensors (Basel, Switzerland) (13-08-2020)
    “…Visual contents such as movies and animation evoke various human emotions. We examine an argument that the emotion from the visual contents may vary according…”
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  4. 4

    DALS: Diffusion-Based Artistic Landscape Sketch by Kim, Junho, Yang, Heekyung, Min, Kyungha

    Published in Mathematics (Basel) (01-01-2024)
    “…We propose a framework that synthesizes artistic landscape sketches using a diffusion model-based approach. Furthermore, we suggest a three-channel perspective…”
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  5. 5

    Portrait Sketch Generative Model for Misaligned Photo-to-Sketch Dataset by Kim, Hyungbum, Kim, Junho, Yang, Heekyung

    Published in Mathematics (Basel) (01-09-2023)
    “…A deep-learning-based model for generating line-based portrait sketches from portrait photos is proposed in this paper. The misalignment problem is addressed…”
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  6. 6

    Perception of Facial Impressions Using Explicit Features of the Face (xFoFs) by Yeom, Jihyeon, Lee, Jeongin, Yang, Heekyung, Min, Kyungha

    Published in Mathematics (Basel) (01-09-2023)
    “…We present a novel approach to perceiving facial impressions by defining the explicit features of the face (xFoFs) based on anthropometric studies. The xFoFs…”
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  7. 7

    A Pose and Style-Invariant Reenactment Technique for Artistic Portraits Using GAN by Oh, Junyoung, Min, Kyungha, Yang, Heekyung

    Published in IEEE access (2022)
    “…Face reenactment techniques change the facial expression of a character in a photograph. This technique is very attractive in that it helps in the creation of…”
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  8. 8

    Hybrid Character Generation via Shape Control Using Explicit Facial Features by Lee, Jeongin, Yeom, Jihyeon, Yang, Heekyung, Min, Kyungha

    Published in Mathematics (Basel) (26-05-2023)
    “…We present a hybrid approach for generating a character by independently controlling its shape and texture using an input face and a styled face. To…”
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  9. 9

    A Transfer Learning for Line-Based Portrait Sketch by Kim, Hyungbum, Oh, Junyoung, Yang, Heekyung

    Published in Mathematics (Basel) (01-10-2022)
    “…This paper presents a transfer learning-based framework that produces line-based portrait sketch images from portraits. The proposed framework produces sketch…”
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  10. 10

    A GAN-Based Face Rotation for Artistic Portraits by Kim, Handong, Kim, Junho, Yang, Heekyung

    Published in Mathematics (Basel) (01-10-2022)
    “…We present a GAN-based model that rotates the faces in artistic portraits to various angles. We build a dataset of artistic portraits for training our…”
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  11. 11

    24-GAN: Portrait Generation with Composite Attributes by Kim, Jiin, Yang, Heekyung, Min, Kyungha

    Published in Mathematics (Basel) (01-10-2022)
    “…We present a portrait-generation framework that can control composite attributes. Our target attribute covers the three global attributes of age, sex, and…”
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  12. 12

    An Attention-Based Generative Adversarial Network for Producing Illustrative Sketches by Yeom, Jihyeon, Yang, Heekyung, Min, Kyungha

    Published in Mathematics (Basel) (01-11-2021)
    “…An illustrative sketch style expresses important shapes and regions of objects and scenes with salient lines and dark tones, while abstracting less important…”
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  13. 13

    Generating 2D Lego Compatible Puzzles Using Reinforcement Learning by Park, Cheolseong, Yang, Heekyung, Min, Kyungha

    Published in IEEE access (2020)
    “…We present a framework that generates a 2D Lego-compatible puzzle layout of greater than thousands pieces of bricks using a reinforcement learning technique…”
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  14. 14

    A Stylized Approach for Pencil Drawing from Photographs by Yang, Heekyung, Kwon, Yunmi, Min, Kyungha

    Published in Computer graphics forum (01-06-2012)
    “…We present a stylized scheme that produces pencil drawings in a range of styles from an image. To produce controllable pencil drawing effects and remedy the…”
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  15. 15

    Classification of basic artistic media based on a deep convolutional approach by Yang, Heekyung, Min, Kyungha

    Published in The Visual computer (01-03-2020)
    “…Artistic media play an important role in recognizing and classifying artworks in many artwork classification works and public artwork databases. We employ deep…”
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  16. 16

    P3-4: Binocular Visual Acuity in Exotropia by Yang, Heekyung, Ahn, Seong Joon, Hwang, Jeong-Min

    Published in i-Perception (London) (01-10-2012)
    “…Purpose: To investigate binocular interaction of visual acuity in patients with intermittent exotropia and its relationship with accommodative responses during…”
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  17. 17

    Importance-based approach for rough drawings by Yang, Heekyung, Min, Kyungha

    Published in The Visual computer (01-04-2019)
    “…We present a framework for producing rough drawings from photographs. Depicting a scene using a series of lines is one of the most effective methods of visual…”
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  18. 18

    Distinguishing Emotional Responses to Photographs and Artwork Using a Deep Learning-Based Approach by Yang, Heekyung, Han, Jongdae, Min, Kyungha

    Published in Sensors (Basel, Switzerland) (14-12-2019)
    “…Visual stimuli from photographs and artworks raise corresponding emotional responses. It is a long process to prove whether the emotions that arise from…”
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  19. 19

    Pencil rendering on 3D meshes using convolution by Kwon, Yunmi, Yang, Heekyung, Min, Kyungha

    Published in Computers & graphics (01-12-2012)
    “…We produce various styles of pencil drawings from a 3D triangular mesh using a new two-phase approach based on convolution. First, we generate the noise…”
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