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  1. No Access

    Article

    A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network

    Most studies on convolutional Neural Network (CNN) based image processing have proposed networks that can be optimized for a single level. Here, the term “level" refers to the specific objective defined for ea...

    Hyeongmin Lee, Taeoh Kim, Hanbin Son in International Journal of Computer Vision (2024)

  2. No Access

    Chapter and Conference Paper

    Expanded Adaptive Scaling Normalization for End to End Image Compression

    Recently, learning-based image compression methods that utilize convolutional neural layers have been developed rapidly. Rescaling modules such as batch normalization which are often used in convolutional neur...

    Cha** Shin, Hyeongmin Lee, Hanbin Son, Sang** Lee in Computer Vision – ECCV 2022 (2022)

  3. No Access

    Chapter and Conference Paper

    SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

    RGB-D salient object detection (SOD) has been in the spotlight recently because it is an important preprocessing operation for various vision tasks. However, despite advances in deep learning-based methods, RG...

    Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee in Computer Vision – ECCV 2022 (2022)

  4. No Access

    Chapter and Conference Paper

    Tackling Background Distraction in Video Object Segmentation

    Semi-supervised video object segmentation (VOS) aims to densely track certain designated objects in videos. One of the main challenges in this task is the existence of background distractors that appear simila...

    Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park in Computer Vision – ECCV 2022 (2022)

  5. No Access

    Chapter and Conference Paper

    Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition

    Deep-Learning-based video recognition has shown promising improvements along with the development of large-scale datasets and spatiotemporal network architectures. In image recognition, learning spatially inva...

    Taeoh Kim, Hyeongmin Lee, MyeongAh Cho in Computer Vision – ECCV 2020 Workshops (2020)

  6. No Access

    Chapter and Conference Paper

    AIM 2020 Challenge on Image Extreme Inpainting

    This paper reviews the AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: classical image inpainting and...

    Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli in Computer Vision – ECCV 2020 Workshops (2020)

  7. No Access

    Article

    SSIM-based distortion metric for film grain noise in HEVC

    In video coding, the sum of squared differences (SSD) is traditionally used for rate-distortion optimization (RDO). However, SSD has been known that has low correlation on subjective quality. In particular, fi...

    Seongwan Kim, Daehyun Pak, Sangyoun Lee in Signal, Image and Video Processing (2018)

  8. Article

    Open Access

    Fast intermode decision algorithm based on general and local residual complexity in H.264/AVC

    The state-of-the-art video coding standard H.264/AVC achieves significant coding performance by adopting variable block sizes for motion estimation (ME) and mode decision. However, this technique brings out hi...

    Jaeho Lee, Seongwan Kim, Kyungmin Lim in EURASIP Journal on Image and Video Process… (2013)

  9. Article

    Open Access

    3D hand tracking using Kalman filter in depth space

    Hand gestures are an important type of natural language used in many research areas such as human-computer interaction and computer vision. Hand gestures recognition requires the prior determination of the han...

    Sangheon Park, Sun** Yu, Joongrock Kim in EURASIP Journal on Advances in Signal Proc… (2012)

  10. Article

    Open Access

    Face Recognition Incorporating Ancillary Information

    Due to vast variations of extrinsic and intrinsic imaging conditions, face recognition remained to be a challenging computer vision problem even today. This is particularly true when the passive imaging approa...

    Sang-Ki Kim, Kar-Ann Toh, Sangyoun Lee in EURASIP Journal on Advances in Signal Processing (2007)

  11. No Access

    Chapter and Conference Paper

    Face Recognition Based on Near-Infrared Light Using Mobile Phone

    Recently, many companies have attempted to adopt biometric technology in their mobile phones. In this paper, we propose a new NIR (Near-Infra-Red) lighting face recognition method for mobile phones by using me...

    Song-yi Han, Hyun-Ae Park, Dal-ho Cho in Adaptive and Natural Computing Algorithms (2007)

  12. No Access

    Chapter and Conference Paper

    Robust 3D Face Data Acquisition Using a Sequential Color-Coded Pattern and Stereo Camera System

    This paper presents a robust 3D data acquisition method that uses a sequential color-coded pattern and a stereo camera system. In this system, one projector projects a pattern on an object and two cameras capt...

    Ildo Kim, Sangki Kim, Sun** Yu in Computational Science and Its Applications… (2006)

  13. No Access

    Chapter and Conference Paper

    Robust Design of Face Recognition Systems

    Currently, most face recognition methods provide a number of parameters to be optimized, leaving the selection and optimization of the right parameter set is necessary for the implementation. The choice of the...

    Sun** Yu, Hyobin Lee, Jaihie Kim in Computational Science and Its Applications… (2006)

  14. No Access

    Chapter and Conference Paper

    Automatic Pose-Normalized 3D Face Modeling and Recognition Systems

    Pose-variation factors present a big problem in 2D face recognition. To solve this problem, we designed a 3D face acquisition system which was able to generate multi-view images. However, this created another ...

    Sun** Yu, Kwontaeg Choi, Sangyoun Lee in Advances in Image and Video Technology (2006)

  15. Chapter and Conference Paper

    Rapid 3D Face Data Acquisition Using a Color-Coded Pattern and a Stereo Camera System

    This paper presents a rapid 3D face data acquisition method that uses a color-coded pattern and a stereo camera system. The technique works by projecting a color coded pattern on an object and capturing two im...

    Byoungwoo Kim, Sun** Yu, Sangyoun Lee, Jaihie Kim in Advances in Biometrics (2005)

  16. Chapter and Conference Paper

    3D Face Recognition Based on Facial Shape Indexes with Dynamic Programming

    This paper describes a 3D face recognition method using facial shape indexes. Given an unknown range image, we extract invariant facial features based on the facial geometry. We estimate the 3D head pose using...

    Hwanjong Song, Ukil Yang, Sangyoun Lee, Kwanghoon Sohn in Advances in Biometrics (2005)

  17. Chapter and Conference Paper

    Invertible Watermarking Algorithm with Detecting Locations of Malicious Manipulation for Biometric Image Authentication

    In this paper, we present a new method for authentication of biometric images. Our method uses an invertible watermark that can also detect malicious manipulations simultaneously. While virtually all watermark...

    Jaehyuck Lim, Hyobin Lee, Sangyoun Lee, Jaihie Kim in Advances in Biometrics (2005)

  18. No Access

    Chapter and Conference Paper

    High Quality VoD Service Architecture on Broadband Internet

    In this paper, for broadband Internet users, high quality VOD (Video on Demand) service architecture including network and platform is presented. As the existing IP-network cannot provide a guaranteed bandwidt...

    Sangyoun Lee in Computational Science and Its Applications — ICCSA 2003 (2003)

  19. No Access

    Chapter and Conference Paper

    Face Retrieval Using 1st- and 2nd-order PCA Mixture Model

    This paper deals with face retrieval using the 1st- and 2nd-order PCA mixture model. The well-known eigenface method uses one set of holistic facial features obtained by PCA. However, the single set of eigenfa...

    Sangyoun Lee, Hyun-Chul Kim, Dai** Kim in Computational Science and Its Applications… (2003)

  20. Chapter and Conference Paper

    Hierarchical Shot Clustering for Video Summarization

    Digital video is rapidly becoming a communication medium for education, entertainment, and a variety of multimedia applications. With the size of the video collections growing to thousnads of hours, efficient ...

    YoungSik Choi, Sun Jeong Kim, Sangyoun Lee in Computational Science — ICCS 2002 (2002)