Family

Family - Alumni

Alumni

Ph.D Course

  • Jin Soo Seo Ph.D. (2005)

    ○ Thesis

    Robust Image Watermarking Based on Geometrically Invariant Regions.

    ○ Office

    Kangnung National University, Professor.
  • Sang Gyun Kim Ph.D. (2008)

    ○ Thesis

    Underdetermined Blind Source Separation by Latent Component Estimation.

    ○ Office

    Kyungpook University/Stanford Research Scientist.
  • Sun Il Lee Ph.D. (2008)

    ○ Thesis

    Robust Video Fingerprinting for Content-Based Video Identification.

    ○ Office

    Samsung Electronics.
  • Min Ho Jin Ph.D. (2009)

    ○ Thesis

    Quantum-inspired Hashing for Multimedia Identification.

    ○ Office

    Google (SF, USA).
  • Dal Won Jang Ph.D. (2010)

    ○ Thesis

    Distance Metric Lerning for Content Identification.

    ○ Office

    KETI.
  • Seok Hwan Jo Ph.D. (2011)

    ○ Thesis

    Melody Extraction based on Dynamic Bayesian Network.

    ○ Office

    SK Telecom T-Brain.
  • Sung Woong Kim Ph.D. (2011)

    ○ Thesis

    Task-specific Image Partitioning based on Discriminative Higher-Order Correlation Clustering.

    ○ Office

    AI department, Korea University, Professor.
  • Sung Rak Yun Ph.D. (2012)

    ○ Thesis

    A Co-Classification Framework for Transfer Learning Using a Semi-Supervised Topic Model.

    ○ Office

    Qualcomm.
  • Jin Ho Choi Ph.D. (2015)

    ○ Thesis

    Underdetermined High-Resolution DOA Estimation: A 2pth-Order Source-Signal/Noise Subspace Constrained Optimization.

    ○ Office

    Smart Ear CEO.
  • Sang Hyuk Park Ph.D. (2018)

    ○ Thesis

    Deep Spiral Convolutional Neural Network for Single Image Super-Resolution and Image Enhancement.

    ○ Office

    Naver.
  • Jang Hoon Cho Ph.D. (2018)

    ○ Thesis

    Summarizing Distribution: Submodular Probability Density Cover.

    ○ Office

    Qualcomm AI.
  • Jong Min Kim Ph.D. (2019)

    ○ Thesis

    Learning with Edge-labeling Graph: Applications to Image Segmentation and Few-shot Learning.

    ○ Office

    Kakao Brain.
  • Dong Hoon Lee Ph.D. (2019)

    ○ Thesis

    Learning to Augment Influential Data.

    ○ Office

    Kakao Brain.
  • Hyun Sin Park Ph.D. (2019)

    ○ Thesis

    Learnable Gammatone Filterbank and Energy Normalized Gated Convolutional Network for Environmental Sound Classification.

    ○ Office

    Qualcomm.
  • Seung Jae Lee Ph.D. (2020)

    ○ Thesis

    Study on Efficient Feature Extraction and Neural Architecture Engineering for Visual Search.

    ○ Office

    ETRI.
  • Jun yeong Kim Ph.D. (2021)

    ○ Thesis

    Deep Learning Based Approaches for Multimodal Video Question Answering.

    ○ Office

    Chung-Ang University, Professor.
  • Thang Vu Ph.D. (2023)

    ○ Thesis

    From Unimodal to Multimodal Learning with Adaptive Alignment for 2D-3D VIsual Recognition.

    ○ Office

    42dot.
  • Hae Yong Kang Ph.D. (2023)

    ○ Thesis

    Forget-free Subnetworks for Life-long Learning.

    ○ Office

    Post-doc U-AIM lab

M.S.

  • Won Il Lee M.S. (2001)

    ○ Thesis

    Tandemless Transcoding between AMR and EVRC speech coders.

    ○ Office

    Samsung Electronics.
  • Seok Hyun Yoon M.S. (2002)

    ○ Thesis

    A Novel Speech Enhancement based on Speech/Noise-dominant Decision in Time-Frequency Domain.

    ○ Office

    Samsung Electronics.
  • Jong Wook Kim M.S. (2002)

    ○ Thesis

    Subspace Speech Enhancement Based on Selective Projection Method and Psychoacoustic Model.

    ○ Office

    Pantech.
  • Soo Young Woo M.S. (2003)

    ○ Thesis

    Robust Feature extraction using Lombard effect compensation filter.

    ○ Office

    Samsung Electronics.
  • Gyu Chul Jang M.S. (2003)

    ○ Thesis

    Improvements in speaker adaptation with weighted training.

    ○ Office

    21st Century Patent & Law Firm.
  • Dal Won Jang M.S. (2003)

    ○ Thesis

    A Novel Transcoding Algorithm for G.729A and SMV Speech Codecs via Direct Parameter Transformation.

    ○ Office

    KETI.
  • Sun Il Lee M.S. (2003)

    ○ Thesis

    Novel Tandemless Transcoding Algorithm for AMR and EVRC Speech Coders.

    ○ Office

    Samsung Electronics.
  • Min Ho Jin M.S. (2004)

    ○ Thesis

    An Out-of Vocabulary Rejection Technique usign Anti-phoneme Model and On-line Garbage Model in Hidden Markov Model.

    ○ Office

    Google (SF, USA)
  • Seong Ho Seo M.S. (2004)

    ○ Thesis

    A Transcoding Algorithm for G.723.1 and SMV Speech Coders via Direct Parameter Transformation.

    ○ Office

    Pai Chai University, Professor.
  • Jong Kwan Lee M.S. (2004)

    ○ Thesis

    A De-noising Method using Teager Energy Operator and Wiener Filter for Speech Recognizer.

    ○ Office

    Republic of Korea Army.
  • Seung Jae Lee M.S. (2005)

    ○ Thesis

    A Secure SVD-Based Watermarking Method for Image Content Authentication.

    ○ Office

    ETRI.
  • Chang Sun Park M.S. (2005)

    ○ Thesis

    Single Channel Subband Blind Source Separation Using Temporal Dependency of Speech via Viterbi Algorithm.

    ○ Office

    Hyundai Heavy Industries Corporation.
  • So Young Park M.S. (2006)

    ○ Thesis

    Analysis and Compensation of Korean Lombard Speech based on Phoneme Dependent Cepstral Characteristic and Pitch Information.

    ○ Office

    Korea Electric Power Corporation.
  • Seok Hwan Jo M.S. (2006)

    ○ Thesis

    Melody Extraction based on Dynamic Bayesian Network.

    ○ Office

    SK Telecom T-Brain.
  • Jun Sung Kim M.S. (2006)

    ○ Thesis

    A Novel Crosstalk Cancellation for 3D Audio.

    ○ Office

    Patent Attorney.
  • Kyoung Ran Mun M.S. (2007)

    ○ Thesis

    The Database Construction Method Using Region-conserving Hashing Function for the High-speed Search of the Audio Fingerprinting System.

    ○ Office

    Samsung Electronics.
  • Sung Woong Kim M.S. (2007)

    ○ Thesis

    Task-specific Image Partitioning based on Discriminative Higher-Order Correlation Clustering.

    ○ Office

    Kakao Brain
  • Jin Ho Choi M.S. (2008)

    ○ Thesis

    Time Delay Estimation Based on Pitch Harmonics Weight and Wiener Gain for Robust Speaker Localization.

    ○ Office

    Smart Ear CEO.
  • Do Hyun Lee M.S. (2009)

    ○ Thesis

    Stereo Matching Based on Under- and Over-segmentation, and Occlusion Handling.

    ○ Office

    LG Electronics.
  • Yoon Seob Kim M.S. (2010)

    ○ Thesis

    Blockwised Active Source Number Estimation for Blind Source Separation.

    ○ Office

    Industrial Bank of Korea.
  • Jae Wook Kim M.S. (2010)

    ○ Thesis

    HMM-Based Note Onset Detection of Natural Humming for Query by Humming Systems.

    ○ Office

    Korea University, Research Professor.
  • Swastik Kayastha M.S. (2010)

    ○ Thesis

    Confident Component Detectors for Face Detection.

    ○ Office

    Samsung Electronics.
  • Youn Sung Park M.S. (2010)

    ○ Thesis

    Parametric Emotional Singing Voice Synthesis.

    ○ Office

    Samsung Electronics.
  • Jong Min Kim M.S. (2010)

    ○ Thesis

    Learning with Edge-labeling Graph: Applications to Image Segmentation and Few-shot Learning.

    ○ Office

    Kakao Brain.
  • Dong Hoon Lee M.S. (2010)

    ○ Thesis

    Face Clustering via Penalized Ncut.

    ○ Office

    Kakao Brain.
  • Si Hyun Joo M.S. (2011)

    ○ Thesis

    Melody Extraction based on MMSE of Harmonic Coded Structure.

    ○ Office

    Hyundai Motors.
  • Seung Ryul Baek M.S. (2011)

    ○ Thesis

    Learning a discriminative histogram representation for histogram intersection kernel (HIK).

    ○ Office

    UNIST Computer Science & Engineering Professor.
  • Jang Hoon Cho M.S. (2011)

    ○ Thesis

    Underdetermined convolutive blind source separation based on a three-stage approach.

    ○ Office

    Qualcomm AI.
  • Tae Sup Kim M.S. (2011)

    ○ Thesis

    Music analysis via a nonparametric baysian
    model: discovering latent musical hierarchical structure based on musical components and sub genres.

    ○ Office

    SNU Dept. Data Science Professor.
  • Jun Young Chung M.S. (2012)

    ○ Thesis

    Sparsity sharing Embedding for Face Verification.

    ○ Office

    Deepmind.
  • Sang Hun Park M.S. (2012)

    ○ Thesis

    Melody Extraction using Melody Pitch/Non-melody Pitch Classification.
  • Ju Wan Lee M.S. (2012)

    ○ Thesis

    Generative Model for Music Similarity.

    ○ Office

    LG Electronics.
  • Young Joo Seo M.S. (2013)

    ○ Thesis

    Occlusion boundary detection and Figure/ground assignment based on correlation clustering algorithm in a single image.

    ○ Office

    EPFL.
  • Young Ook Song M.S. (2013)

    ○ Thesis

    Joint estimation of Pose and Facial Landmark using boosted parallel random ferns.

    ○ Office

    Hynix.
  • Jae Sik Yoon M.S. (2014)

    ○ Thesis

    A tree-structured discriminative dictionary learning for classification.

    ○ Office

    SAP.
  • Jung Kyu Kang M.S. (2014)

    ○ Thesis

    Mutual Incoherence Discriminative dictionary learning for Non-negative sparse representation in classification.

    ○ Office

    ETRI.
  • Ho Yong Jang M.S. (2014)

    ○ Thesis

    Large margin and dropout learning of sum-product networks.

    ○ Office

    Samsung Electronics.
  • Yu Na Seo M.S. (2014)

    ○ Thesis

    Salient object detection using bipartite dictionary.

    ○ Office

    LG Electronics.
  • Yong Cheon Na M.S. (2015)

    ○ Thesis

    Maximum Margin Learning with sub-SPNs for Cell Classification.

    ○ Office

    Hyundai Motor.
  • Tae Ho Kim M.S. (2015)

    ○ Thesis

    Automatic Speech Recognition using Semi-Markov Model and Deep Neural Network.

    ○ Office

    Nota Incorporated CEO.
  • Chang Hoon Lee M.S. (2015)

    ○ Thesis

    Segment-wise Online Learning based on Greedy Algorithm For Real-time Multi-target Tracking.

    ○ Office

    Professional Diving Instructor.
  • Min Goo Song M.S. (2016)

    ○ Thesis

    Multimodal Representation: Kneser-Ney Smoothing/Skip-gram based Neural Language Model.

    ○ Office

    KAIST KI.
  • Sung Hun Kang M.S. (2016)

    ○ Thesis

    A Study on Audiovisual Deep Features for Video Categorization.

    ○ Office

    Ph.D Candidate.
  • Jun Yeong Kim M.S. (2017)

    ○ Thesis

    Partial Person Re-identification with Convolutional Neural Network and Attention model.

    ○ Office

    Chung-Ang University, Professor.
  • Hyeong Woo Park M.S. (2017)

    ○ Thesis

    Super-resolution using texture guidance deep neural network.

    ○ Office

    Qualcomm AI.
  • Sang Hyuk Lee M.S. (2018)

    ○ Thesis

    Classification of Neurological Diseases by Single Nucleotide Polymorphism using Position-wise Histogram Comparison and Deep Neural Network.

    ○ Office

    PUBG Corp.
  • Oh Chul Kwon M.S. (2018)

    ○ Thesis

    Deep Bi-Directional LSTM Attention via Multi Order Difference Feature for Action recognition.

    ○ Office

    Yonsei Unversity, Professional Staff.
  • Pan Fei M.S. (2018)

    ○ Thesis

    Deep Recursive Segmentation Networks.

    ○ Office

    Ph.D candidate of Robotics and Computer Vision lab.
  • Min Su Kim M.S. (2018)

    ○ Thesis

    Where is your Player : Deep Pixel-wise visual localization on Baseball Game Data via text-phrase.

    ○ Office

    NCsoft.
  • Hyo Jung Han M.S. (2018)

    ○ Thesis

    Associative Scene Semantic Segmentation.

    ○ Office

    Samsung Electronics/ University of Maryland, College Park.
  • Hyun Woo Nam M.S. (2018)

    ○ Thesis

    Network Fusion based Video Summarization using Visual-semantic Features.

    ○ Office

    Samsung Electronics.
  • Kang Min Bae M.S. (2019)

    ○ Thesis

    ImaGAN: unsupervised training of conditional joint CycleGAN for transferring style with core structures in content preserved.

    ○ Office

    ETRI.
  • Jae Won Lee M.S. (2019)

    ○ Thesis

    Active learning using blending query strategy with multi-armed bandit on imbalanced data classification.

    ○ Office

    SAIT.
  • Min Uk Ma M.S. (2020)

    ○ Thesis

    Moment Proposal Network for Multi-modal Video Question Answering.

    ○ Office

    Lunit.
  • Min Jeong Ju M.S. (2020)

    ○ Thesis

    GAPNet: Generic-Attribute-Pose Network for Fine-Grained Visual Categorization using Multi-Attribute Attention Module.

    ○ Office

    SK T-Brain.
  • Hyun Jun Jang M.S. (2020)

    ○ Thesis

    RankNet for Accurate Object Detection with Ranking Bounding Boxes.

    ○ Office

    Lunit.
  • Ho Bin Ryu M.S. (2021)

    ○ Thesis

    Semantic Grouping Network for Video Captioning.

    ○ Office

    Naver.
  • Nguyen Van Cao M.S. (2020)

    ○ Thesis

    Scene Graph Generation with Attended Predicate Prediction.

    ○ Office

    VNPT.
  • Sun Jae Yoon M.S. (2021)

    ○ Thesis

    Video Language Alignment Network for Video Moment Retrieval

    ○ Office

    Ph.D Candidate.
  • Da Huyn Kim M.S. (2022)

    ○ Thesis

    Deep Learning Based Approach for Video Corpus Moment Retrieval and Video Grounded Dialogue.

    ○ Office

    LG Electronics.
  • Kook Hoi Kim M.S. (2022)

    ○ Thesis

    Deep Learning based approaches for 3D Object Detection and Instance Segmentation on Point Clouds.

    ○ Office

    Samsung Research.
  • JI Woo Hong M.S. (2022)

    ○ Thesis

    Temporal Procrustes Alignment Framework for 3D Human Pose and Shape Estimation from Video.

    ○ Office

    Ph.D Candidate.
  • Eun Seop Yoon M.S. (2023)

    ○ Thesis

    Deep Learning Based Approach for Enhanced Non-Native Speech Recognition.

    ○ Office

    Ph.D Candidate.