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Publications

Publications - International Journals

Conferences/Journals

  • Years
  • Jounals
  • Conferences

2024

  1. [C148] Cross-view Masked Diffusion Transformers for Person Image Synthesis
    Trung X. Pham*, Zhang Kang*, Chang D. Yoo, International Conference on Machine Learning (ICML), 2024.
  2. [C147] FRAG: Frequency Adpating Group for Diffusion Video Editing
    Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo, International Conference on Machine Learning (ICML), 2024.
  3. [C146] Zero-shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation
    Tri Ton*, Ji Woo Hong*, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, Chang D. Yoo, Computer Vision and Pattern Recognition Workshop (CVPRW) 2024.
  4. [C145] Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
    Thanh Nguyen*, Tung M. Luu*, Tri Ton, and Chang D. Yoo, International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) 2024.
  5. [C144] Character Identifying Video Language Alignment Network for Weakly-Supervised Video-Subtitle Moment Retrieval
    Donghoon Lee, Jun Yeop Shim, Sunjae Yoon, Chang D. Yoo, International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) 2024.
  6. [C143] Querying Easily Flip-flopped Samples for Deep Active Learning
    Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo, International Conference on Learning Representations (ICLR) 2024.
  7. [C142] Progressive Fourier Neural Representation for Sequential Video Compilation
    Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang D. Yoo, International Conference on Learning Representations (ICLR) 2024.
  8. [C141] C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
    Hee Suk Yoon*, Eunseop Yoon*, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo, International Conference on Learning Representations (ICLR) 2024.
  9. [C140] Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching
    Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo, The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024.
  10. [C139] G2PU: Grapheme-to-Phoneme Transducer with Speech Units
    Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo, The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024.
  11. [C138] ADAMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition
    SooHwan Eom, Eunseop Yoon, Hee Suk Yoon, Chanwoo Kim, Mark Hasegawa-Johnson, Chang D. Yoo, The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024.
  12. [C137] Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
    Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo, The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024.
  13. [C136] SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
    Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI) 2024.
  14. [J57] Causal Localization Network for Radar Human Localization with micro-Doppler signature
    Sunjae Yoon, Gwanhyeong Koo, Jun Yeop Shim, Soohwan Eom, Ji Woo Hong, Chang D. Yoo, IEEE Access 2024

2023

  1. [C135] Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation
    Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang D. Yoo, Sungwoong Kim., The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023. (Long Paper, Findings)
  2. [C134] HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue
    Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, and Chang D. Yoo., The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023. (Long Paper, Findings)
  3. [C133] Fast and Memory-Efficient Uncertainty-Aware Framework for Offline Reinforcement Learning with Rank One MIMO Q network
    Thanh Nguyen, Tung Luu, Chang D. Yoo, IROS Workshop 2023 (SPOTLIGHT)
  4. [C132] SCANet: Scene Complexity Aware Network for Weakly-supervised Video Moment Retrieval
    Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo., International Conference on Computer Vision (ICCV) 2023.
  5. [C131] One-Shot Exemplification Modeling via Latent Sense Representations
    John Harvill, Hee Suk Yoon, Eunseop Yoon, Mark Hasegawa-Johnson and Chang D. Yoo, ACL 2023 Workshop on Representation Learning for NLP (RepL4NLP 2023)
  6. [C130] Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
    Eunseop Yoon*, Hee Suk Yoon*, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo, INTERSPEECH 2023
  7. [C129] A Theory of Unsupervised Speech Recognition
    Liming Wang, Mark Hasegawa-Johnson and Chang D. Yoo, Association for Computational Linguistics (ACL) 2023. (Long paper)
  8. [C128] Speak, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition
    Liming Wang, Junrui Ni, Heting Gao, Jialu Li, Kai Chieh Chang, Xulin Fan, Junkai Wu, Mark Hasegawa-Johnson and Chang D. Yoo, Association for Computational Linguistics (ACL) 2023. (Long paper, Findings)
  9. [C127] Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition
    Eunseop Yoon*, Hee Suk Yoon*, John Harvill, Mark Hasegawa-Johnson and Chang D. Yoo., Association for Computational Linguistics (ACL) 2023, (Short paper, Findings)
  10. [C126] Counterfactual Two-stage Debiasing for Video Corpus Moment Retrieval
    Sunjae Yoon, Ji Woo Hong, SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Daehyeok Kim, Junyeong Kim, Chanwoo Kim, Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2023. [Oral presentation]
  11. [C125] On the Soft-Subnetwork for Few-Shot Class Incremental Learning
    Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo., International Conference on Learning Representations (ICLR), 2023.
  12. [C124] ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
    Hee Suk Yoon*, Joshua Tian Jin Tee*, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo, International Conference on Learning Representations (ICLR), 2023.
  13. [J56] Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
    Thang Vu, Kookhoi Kim, Thanh Nguyen, Tung M. Luu, Junyeong Kim, Chang D. Yoo, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023.
  14. [J55] Self-Supervised Visual Representation Learning via Residual Momentum
    Trung Pham, Axi Niu, Zhang Kang, Tee Joshua Tian Jin, Ji Woo Hong, and Chang D. Yoo, IEEE Access 2023
  15. [J54] Bayesian analysis of the generalized additive proportional hazards model: Asymptotic studies,
    Gwangsu Kim, Chang D Yoo and Yongdai Kim, Bayesian Analysis 2023
  16. [J53] Joint Path Alignment Framework for 3D Human Pose and Shape Estimation from Video
    Ji Woo Hong, Sunjae Yoon, Junyeong Kim, Chang D. Yoo, IEEE Access 2023.
  17. [J52] Clinical Validation of Wearable Piezoelectric Blood Pressure Sensor for Continuous Health Monitoring
    Seongwook Min, Dong Hyun Kim, Daniel J. Joe, Byung Woo Kim, Young Hoon Jung, Jae Hee Lee, Bo-Yeon Lee, Il Doh, Jaehun An, Young-Nam Youn, Boyoung Joung, Chang D. Yoo, Hyo-Suk Ahn, Keon Jae Lee, Advanced Materials 2023.
  18. [J51] Skew Class-Balanced Re-Weighting for Unbiased Scene
    Haeyong Kang and Chang D. Yoo., Machine Learning & knowledge Extraction, MDPI 2023.
  19. [J50] DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
    Thanh Nguyen*, Trung Pham*, Chaoning Zhang, Tung Luu, Thang Vu, Chang D. Yoo., IEEE Access 2023
  20. [J49] Efficient Convolutional Neural Networks for Semiconductor Wafer Bin Map Classification
    Eunmi Shin, Chang D. Yoo., Sensors 2023

2022

  1. [C123] Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
    Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim and Chang D. Yoo., The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Long Paper)
  2. [C122] SMSMix: Sense Maintained Sentence Mixup for Word Sense Disambiguation
    Hee Suk Yoon, Eunseop Yoon, John Harvill, Sunjae Yoon, Mark Hasegawa-Johnson and Chang D. Yoo., The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Short Paper, Findings)
  3. [C121] Selective Query-guided Debiasing for Video Corpus Moment Retrieval
    Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, DaHyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo., European Conference on Computer Vision (ECCV) 2022.
  4. [C120] Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
    Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon., European Conference on Computer Vision (ECCV) 2022. [Oral presentation (top 2.7%)]
  5. [C119] Forget-free Continual Learning with Winning Subnetworks
    Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, and Chang D. Yoo., International Conference on Machine Learning (ICML), 2022.
  6. [C118] SoftGroup for 3D Instance Segmentation on Point Clouds
    Thang Vu, Kookhoi Kim, Tung Luu, Thanh Nguyen, Chang D. Yoo., Computer Vision and Pattern Recognition (CVPR) 2022. [Oral presentation (top 4%)]
  7. [C117] Towards Understanding and Simplifying MoCo: Dual Temperature Helps Contrastive Learning without Many Negative Samples
    Chaoning Zhang*, Kang Zhang*, Trung Pham*, Axi Niu, Zhinan Qiao, Chang D. Yoo., Computer Vision and Pattern Recognition (CVPR) 2022.
  8. [C116] Self-supervised Semantic-driven phoneme Discovery for Zero-resource Speech Recognition
    Liming Wang, Mark Hasegawa, Chang D. Yoo., Association for Computational Linguistics (ACL) 2022
  9. [C115] How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL
    Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, International Conference on Learning Representations (ICLR), 2022.
  10. [C114] Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold.
    Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI), 2022.
  11. [C113] Frame-Level Stutter Detection
    Harvil John Bowman, Chang D. Yoo, Mark Hasegawa-Johnson, INTERSPEECH 2022
  12. [C112] Semantic Association Network for Video Corpus Moment Retrieval
    Dahyun Kim, Sunjae Yoon, Ji Woo Hong, Chang D Yoo, The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2022.
  13. [J48] CE-BART: Cause-and-Effect BART for Visual Comonsense Generation.
    Junyeong Kim, Ji Woo Hong, Sunjae Yoon, Chang D. Yoo, Sensors 2022
  14. [J47] LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic.
    Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Nguyen, Sultan Rizky Madjid, and Chang D. Yoo, IEEE Access 2022
  15. [J46] Visual pretraining via Contrastive Predictive Model for Pixel-based.
    Tung M. Luu, Thang Vu, Thanh Nguyen, Chang D. Yoo, Sensors 2022
  16. [J45] Dual-scale Doppler Attention for Human Identification.
    Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo, Sensors 2022
  17. [J44] Fair Face Attribute Classification via Causal Graph-based Attribute Translation.
    Sunghun Kang, Gwangsu Kim, Chang D. Yoo, Sensors 2022
  18. [J43] Blending Query Strategy of Active Learning for Imbalanced Data.
    Gwangsu Kim and Chang D. Yoo., IEEE Access 2022
  19. [J42] Deep Learning-based Noise Robust Flexible Piezoelectric Acoustic Sensors for Speech Processing
    Young HoonJung*, Trung Xuan Pham*, Dias Issa, Hee SeungWang, Jae HeeLee, Mingi Chung, Bo-Yeon Lee, Gwangsu Kim, Chang D.Yoo, Keon Jae Lee, Nano Energy, 2022 (Impact factor: 19)
  20. [J41] Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval
    Sunjae Yoon, Dahyun Kim, Junyeong Kim and Chang D. Yoo., IEEE Access 2022
  21. [J40] Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning
    Tung Luu, Thanh Nguyen, Thang Vu and Chang D. Yoo., IEEE Access 2022
  22. [J39] Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms
    Gwangsu Kim, Chang D. Yoo, Seong J. Yang., IEEE Access 2022

2021

  1. [C111] Worldly Wise (WoW)-Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering
    Kiran Ramnath, Leda Sari, Mark Hasegawa-johnson and Chang Yoo, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2021.
  2. [C110] Structured Co-reference Graph Attention for Video-grounded Dialogue
    Junyeong Kim, Sunjae Yoon, DaHyun Kim, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI), 2021.
  3. [C109] Semantic Grouping Network for Video Captioning
    Hobin Ryu, Sunghun Kang, Haeyoung Kang, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI), 2021.
  4. [C108] SCNet: Training Inference Sample Consistency for Instance Segmentation
    Thang Vu, Haeyong Kang, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI), 2021.
  5. [C107] Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
    Thanh Nguyen*, Tung Luu*, Thang Vu, Chand D. Yoo, The 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
  6. [C106] WEAKLY-SUPERVISED MOMENT RETRIEVAL NETWORK FOR VIDEO CORPUS MOMENT RETRIEVAL
    Sunjae Yoon*, Dahyun Kim*, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo., International Conference on Image Processing (ICIP) 2021.
  7. [C105] Learning Imbalance Datasets with Maximum Margin Loss
    Haeyoung Kang, Thang Vu, Chang D. Yoo., International Conference on Image Processing (ICIP) 2021.
  8. [C104] SPHERERPN: LEARNING SPHERES FOR HIGH-QUALITY REGION PROPOSALS ON 3D POINT CLOUDS OBJECT DETECTION
    Thang Vu, Kookhoi kim, Haeyoung Kang, Xuan Thanh Nguyen, Tung M. Luu, Chang D, Yoo., International Conference on Image Processing (ICIP) 2021.
  9. [C103] Robust MAML: Prioritization Task Buffer with Adaptive LearningProcess For Model-Agnostic Meta-Learning
    T hanh Nguyen, Tung Luu, Trung Pham, Sanzhar Rakhimkul, Chang D. Yoo, The International Conference on Acoustics, Speech, & Signal Processing ( ICASSP), 2021
  10. [C102] Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary
    John Harvill, Dias Issa, Mark Hasegawa-Johnson, Chang D. Yoo, The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021
  11. [J38] Seamless equal accuracy ratio for inclusive CTC speech recognition.
    H. Gao, X. Wang, Chang D. Yoo et al., Speech Communication (2021).
  12. [J37] Counterfactually Fair Automatic Speech Recognition
    Leda Sari, Mark Hasegawa-Johnson, and Chang D. Yoo, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021.
  13. [J36] Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment.
    Tung Luu, Chang D. Yoo, IEEE Access 2021
  14. [J35] Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics
    Hee Seung Wang, Seong Kwang Hong, Jae Hyun Han, Young Hoon Jung, Hyun Kyu Jeong, Tae Hong Im, Chang Kyu Jeong, Bo- Yeon Lee, Gwangsu Kim, Chang D Yoo, Keon Jae Lee Science Advances 7 (7) 2021, eabe5683

2020

  1. [C101] VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval
    M inuk Ma*,Sunjae Yoon*, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo., European Conference on Computer Vision (ECCV) 2020.
  2. [C100] Learning Augmentation Network via Influence Functions
    Donghoon Lee, Hyunsin Park, Trung Pham and Chang D. Yoo., Computer Vision and Pattern Recognition (CVPR) 2020.
  3. [C99] Modality Shifting Attention Network for Multi-modal Video Question Answering
    Junyeong Kim, Minuk Ma, Trung X, Kyungsu Kim and Chang D. Yoo, Computer Vision and Pattern Recognition (CVPR) 2020.
  4. [C98] GAPNet: Generic-Attribute-Pose Network for Fine-Grained Visual Categorization Using Multi-Attribute Attention Module
    Minjeong Ju, Hobin Ryu, Sangkeun Moon and Chang D. Yoo., International Conference on Image Processing (ICIP) 2020
  5. [J34] CNN-based Learnable Gammatone Filterbank and Equal-loudness Normalization for Enviornmental Sound Classification
    Hyunsin Park and Chang D. Yoo, IEEE Signal Processing Letters, 2020. (Impact factor: 3.268)

2019

  1. [C97] Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
    Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo, Neural Information Processing Systems (NeurIPS), 2019. [Spotlight (top 2.4%)]
  2. [C96] FEW-SHOT ASSOCIATIVE DOMAIN ADAPTATION FOR SURFACE NORMAL ESTIMATION
    Haeyong Kang, Gwangsu Kim and Chang D. Yoo., International Conference on Image Processing (ICIP) 2019.
  3. [C95] Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering
    Junyeong Kim, Minuk Ma, Kyungsu Kim, Sunjin Kim, and Chang D. Yoo, International Joint Conference on Neural Networks, 2019
  4. [C94] Edge-Labeling Graph Neural Network for Few-shot Learning
    Jongmin Kim, Taesup Kim, Sungwoong Kim, and Chang D. Yoo, Computer Vision and Pattern Recognition (CVPR) 2019. [Oral presentation (top 5.6%)]
  5. [C93] Progressive Attention Memory Network for Movie Story Question Answering
    Junyeong Kim, Minuk Ma, Kyungsu Kim, Sunjin Kim, and Chang D. Yoo., Computer Vision and Pattern Recognition (CVPR) 2019.
  6. [J33] Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.
    Young Hoon Jung, Seong Kwang Hong, Hee Seung Wang, Jae Hyun Han, Trung Xuan Pham, Hyunsin Park, Junyeong Kim, Sunghun Kang, Chang D. Yoo, and Keon Jae Lee, Advanced Materials, Oct 2019. (Impact factor: 25.8)

2018

  1. [C92] ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved
    Kangmin Bae, Minuk Ma, Hyunjun Jang, Minjeong Ju, Hyoungwoo Park, and Chang D. Yoo, Asian Conference on Computer Vision, 2018
  2. [C91] Perception-enhanced image super-resolution via relativistic generative adversarial networks.
    Vu, Thang, Tung M. Luu, and Chang D. Yoo. Perceptual Image Restoration and Manipulation Workshop and Challenge, European Conference on Computer Vision (ECCV) 2018
  3. [C90] Pivot Correlational Neural Network for Multimodal Video Categorization
    Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim and Chang D. Yoo., European Conference on Computer Vision (ECCV) 2018.
  4. [C89] Action Recognition: First-And Second-Order 3D Feature in Bi-Directional Attention Network
    OH CHULKWON, Junyeong Kim, Chang D. Yoo., International Conference on Image Processing (ICIP) 2018.
  5. [J32] Machine Learning-based Self-powered Acoustic Sensor for Speaker Recognition
    Jae Hyun Han, Kang Min Bae, Seong Kwang Hong, Hyunsin Park, Jun-Hyuk Kwak, Hee Seung Wang, Daniel Juhyung Joe, Jung Hwan Park, Young Hoon Jung, Shin Hur, Chang D. Yoo and Keon Jae Lee, Nano Energy, 53, 658, 2018. (Impact factor: 13.1)

2017

  1. [C88] Neural network-based autonomous navigation for a homecare mobile robot
    Byung Soo, ByungSoo Ko, HoJin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, Chang D. Yoo. IEEE International Conference on Big Data and Smart Computing (BigComp). 403-405, 2017
  2. [C87] Content Adaptive Video Summarization using Spatio-Temporal Feature
    Hyunwoo Nam, Chang D. Yoo., International Conference on Image Processing (ICIP) 2017
  3. [C86] Deep Partial Person Re-identification via Attention Model
    Junyeong Kim, Chang D Yoo., International Conference on Image Processing (ICIP) 2017
  4. [C85] Melody extraction and detection through LSTM-RNN with harmonic sum loss
    Hyunsin Park, Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2017
  5. [J31] Complex Video Scene Analysis using Kernelized Collaborative Behavior Pattern Learning based on Hierarchical Representative Object
    Sanghyuk Park, Hyunsin Park, and Chang D. Yoo, IEEE Transactions on Circuits and Systems for Video Technology, vol.27, no.6, pp. 1275-1289, June 2017. (Impact factor: 2.615)

2016

  1. [C84] Multimodal Representation: Kneser-Ney Smoothing/Skip-gram based Neural Language Model
    Mingoo Song, Chang D. Yoo., International Conference on Image Processing (ICIP) 2016.
  2. [J30] Maximum Margin Learning of t-SPNs for Cell Classification with Filtered Input
    Haeyong Kang, Chang D. Yoo, and Yongcheon Na, IEEE Journal of Selected Topics in Signal Processing, vol.10, no.1, pp.130-139 , February 2016. (Impact factor: 2.373)

2015

  1. [C83] Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture
    DatTien Ngo*, Sanghuyk Park*, Anne Jorstad, Alberto Crivellaro, Chang.D Yoo, Pascal Fua., International Conference on Computer Vision (ICCV) 2015.
  2. [C82] Segment-wise Online Learning based on Greedy Algorithm For Real-time Multi-target Tracking
    Changhoon Lee and Chang D. Yoo., International Conference on Image Processing (ICIP) 2015.
  3. [C81] Face attribute classification using attribute-aware correlation map and gated convolutional neural networks
    Sunghun Kang, Donghoon Lee, and Chang D. Yoo., International Conference on Image Processing (ICIP) 2015.
  4. [C80] Face Alignment Using Cascade Gaussian Process Regression Trees
    Donghoon Lee, Hyunsin Park, and Chang D. Yoo, Computer Vision and Pattern Recognition (CVPR) 2015.
  5. [C79] Face Detection using Local Hybrid Patterns
    Chulhee Yun, Donghoon Lee, and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2015.
  6. [J29] Underdetermined Convolutive BSS: Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation
    Janghoon Cho and Chang D. Yoo, IEEE Transactions on Audio, Speech and Language Processing, vol.23, no.5, pp.828-839, March 2015. (Impact factor: 2.475)
  7. [J28] Underdetermined High-Resolution DOA Estimation: A 2pth-Order Source-Signal/Noise Subspace Constrained Optimization
    Jinho Choi and Chang D. Yoo,IEEE Transactions on Signal Processing, vol.63, no.7, pp.1858-1873, February 2015. (Impact factor: 2.787)

2014

  1. [C78] Joint Estimation of Pose and Face Landmark
    Donghoon Lee, Junyoung Chung, Chang D. Yoo, in Proceedings of Asian Conference on Computer Vision, Singapore, 2014.
  2. [C77] Greedy algorithm for Real-time Multi-object Tracking
    Tae-Ho Kim, Changhoon Lee, Chang D. Yoo., International Conference on Image Processing (ICIP) 2014.
  3. [C76] A hierarchical structured dictionary algorithm for classification
    Jaesik Yoon, Jin Ho Choi and Chang D. Yoo., International Conference on Image Processing (ICIP) 2014.
  4. [C75] Salient object detection using bipartite dictionary
    Yuna Seo, Donghoon Lee, and Chang D. Yoo., International Conference on Image Processing (ICIP) 2014.
  5. [C74] Joint Learning of Foreground Region Labeling and Depth Ordering
    Young-Joo Seo, Jongmin Kim, Hoyong Jang, Tae-Ho Kim and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2014.
  6. [J27] Image Segmentation Using Higher-Order Correlation Clustering
    Sungwoong Kim, Chang D. Yoo, Sebastian Nowozin, and Pushmeet Kohli, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, no.9, pp.1761-1774, September 2014. (Impact factor: 5.781)
  7. [J26] A Co-classification Framework for Transfer Learning using a Semi-Latent Topic Model
    Sungrack Yun and Chang D. Yoo, submitted for publication.

2013

  1. [C73] Image denoising via energy oriented sparse representation
    Kang J., Jang H., Yoo Ch.D. 11th International Conference on Pattern Recognition and Image Analysis, Russia, 2013.
  2. [C72] Complex scene analysis using hierarchical sparse concept representation
    Park S., Yoon J., Yoo Ch. D., Kwon J. 11th International Conference on Pattern Recognition and Image Analysis, Russia, 2013.
  3. [J25] Task-specific Image Partitioning
    Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, and Chang D. Yoo, IEEE Transactions on Image Processing, vol.22, no.2, pp.488-500, Feb., 2013. (Impact factor: 3.625)

2012

  1. [C71] Joint Kernel Learning for Supervised Image Segmentation
    Jongmin Kim, Sanghyuk Park, Youngju Seo, Sungrack Yun, and Chang D. Yoo, in Proceedings of Asian Conference on Computer Vision, Daejeon, Korea, November 2012.
  2. [C70] Sparsity sharing embedding for face verification
    Donghoon Lee, Hyunsin Park, Junyoung Chung, Youngook Song, and Chang D. Yoo, in Proceedings of Asian Conference on Computer Vision, Daejeon, Korea, November 2012.
  3. [C69] Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
    Hyunsin Park, Sungrack Yun, Jongmin Kim, Sanghyuk Park, and Chang D. Yoo, Neural Information Processing Systems (NeurIPS), 2012.
  4. [J24] Loss-scaled Large Margin Gaussian Mixture Models for Speech Emotion Classification
    Sungrack Yun and Chang D. Yoo, IEEE Transactions on Audio, Speech and Language processing, vol.20, no.2, pp.585-598, February 2012. (Impact factor: 1.848)

2011

  1. [C68] Higher-Order Correlation Clustering for Image Segmentation
    Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli and Chang D. Yoo, Neural Information Processing Systems (NeurIPS), 2011.
  2. [C67] Melody Extraction based on Harmonic Coded Structure
    Sihyun Joo, Sanghun Park, Seokhwan Jo and Chang D. Yoo, in Proceedings of ISMIR 2011, Miami, USA, October 2011.
  3. [C66] Underdetermined Convolutive BSS based on a Novel Mixing Matrix Estimation and MMSE based Source Estimation
    Janghoon Cho, Jinho Choi and Chang D. Yoo, in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, Beijing, China, September 2011.
  4. [C65] A High Resolution Multiple Source Localization based on Generalized Cumulant Structure (GCS) Matrix
    Jinho Choi and Chang D. Yoo, in Proceedings of Interspeech, Florence, Italy, August 2011.
  5. [C64] Music Plagiarism Detection System
    Juwan Lee, Sanghun Park, Seokhwan Jo and Chang D. Yoo, in Proceedings of The 26th International Technical Conference on Circuits/Systems, Computers and Communications, Gyeongju, Korea, June 2011.
  6. [C63] Efficient Drowsiness Detection Algorithm for Active Safety Driving System
    Sanghyuk Park, Sungrack Yun, Donghoon Lee and Chang D. Yoo, in Proceedings of The 26th International Technical Conference on Circuits/Systems, Computers and Communications, Gyeongju, Korea, June 2011.
  7. [C62] Variable Grouping for Energy Minimization
    Taesup Kim, Pushmeet Kohli, Sebastian Nowozin and Chang D. Yoo, Computer Vision and Pattern Recognition (CVPR) 2011.
  8. [C61] Learning a Discriminative Visual Codebook using Homonym Scheme
    SeungRyul Baek, Chang D. Yoo and Sungrack Yun., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2011.
  9. [J23] Melody Tracking based on Sequential Bayesian Model
    Seokhwan Jo, Chang D. Yoo, and Arnaud Doucet, IEEE Journal of Selected Topics in Signal Processing, vol.5, no.6, pp.1216-1227, October 2011. (Impact factor: 2.88)
  10. [J22] Music Analysis and Clustering via Discovering Latent Musical Hierarchy Structure and Components Based on a Topic Model
    Taesup Kim and Chang D. Yoo, submitted for publication.
  11. [J21] Large Margin Discriminative Semi-Markov Model for Phonetic Recognition
    Sungwoong Kim, Sungrack Yun, and Chang D. Yoo, IEEE Transactions on Audio, Speech and Language processing, vol.19, no.7, pp.1999-2012, September 2011. (Impact factor: 1.848)

2010

  1. [C60] ν-Structured Support Vector Machines
    Sungwoong Kim, Jongmin Kim, Sungrack Yun and Chang D. Yoo, in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, Kittila, Finland, August-September 2010.
  2. [C59] Melody pitch estimation based on range estimation and candidate extraction using harmonic structure model
    eokhwan Jo, Sihyun Joo and Chang D. Yoo, in Proceedings of Interspeech, Makuhari, Japan, September 2010.
  3. [C58] A Maximum a Posteriori Sound Source Localization in Reverberant and Noisy Conditions
    Jinho Choi and Chang D. Yoo, in Proceedings of Interspeech, Makuhari, Japan, September 2010.
  4. [C57] An Image Fingerprinting System Based on Color Histogram of Affine Covariant Region
    Jinho Choi, Dalwon Jang and Chang D. Yoo, in Proceedings of ICEIC, Cebu, Philippines, June-July 2010.
  5. [C56] Melody extraction from polyphonic audio based on particle filter
    Seokhwan Jo and Chang D. Yoo, in Proceedings of ISMIR 2010, Utrecht, Netherlands, August 2010.
  6. [C55] Large margin training of semi-Markov model for phonetic recognition
    Sungwoong Kim, Sungrack Yun and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2010.
  7. [C54] Parametric emotional singing voice synthesis
    Younsung Park, Sungrack Yun and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2010.
  8. [J20] Distance metric learning for content identification
    Dalwon Jang, Chang D. Yoo, and Ton Kalker, IEEE Transactions on Information Forensics and Security, vol.5, no.4, pp.932-944, December 2010. (Impact factor: 2.23)
  9. [J19] Non-parametric Model Based Speech Synthesis
    Hyunsin Park and Chang D. Yoo, submitted for publication.
  10. [J18] Psychoacoustically Constrained and Distortion Minimized Speech Enhancement
    Seokhwan Jo and Chang D. Yoo, IEEE Transactions on Audio, Speech and Language processing, vol.18, no.8, pp.2099-2110, November 2010. (Impact factor: 1.848)
  11. [J17] Generalized Two-Filter Smoothing for Melody Extraction
    Seokhwan Jo and Chang D. Yoo, submitted for publication.

2009

  1. [C53] Music information retrieval using novel features and a weighted voting method
    Dalwon Jang and Chang D. Yoo, in Proceedings of IEEE International Symposium on Industrial Electronics (ISIE 2009), Seoul, Korea, July 2009.
  2. [C52] Margin-Enhanced Maximum Mutual Information Estimation for Hidden Markov Models
    Sungwoong Kim, Sungrack Yun, and Chang D. Yoo, in Proceedings of IEEE Internal Symposium on Industrial Electronics (ISIE 2009), Seoul, Korea, July 2009.
  3. [C51] Humming-Based Human Verification and Identification
    Minho Jin, Jaewook Kim, and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2009.
  4. [C50] Psychoacoustically Constrained and Distortion Minimized Speech Enhancement Algorithm
    Seokhwan Jo, Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2009.
  5. [C49] Speech Emotion Recognition Via A Max-margin Framework Incorporating A Loss Function Based on The Watson and Tellegen's Emotion Model
    Sungrack Yun and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2009.
  6. [C48] Fingerprint Matching Based on Distance Metric Learning
    Dalwon Jang and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2009.
  7. [J16] Robust Video Fingerprinting Based on Symmetric Pairwise Boosting
    Sunil Lee, Chang D. Yoo and Ton Kalker, IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 9, pp. 1379-1388, Sept.2009. (Impact factor: 2.951)
  8. [J15] Quantum Hashing for Multimedia
    Minho Jin and Chang D. Yoo, IEEE Transactions on Information Forensics and Security, vol.4, no.4, pp.982-994, December 2009. (Impact factor: 2.23)
  9. [J14] Underdetermined blind source separation based on subspace representation
    Sanggyun Kim and Chang D. Yoo,IEEE Transactions on Signal Processing, vol. 57, no. 7, pp.2604-2614, July 2009. (Impact factor: 2.335)
  10. [J13] Pairwise Boosted Audio Fingerprint
    Dalwon Jang, Chang D. Yoo, Sunil Lee, Sungwoong Kim, and Ton Kalker, IEEE Transactions on Information Forensics and Security, vol.4, no.4, pp.995-1004, December 2009. (Impact factor: 2.23)

2008

  1. [C47] Robust Video Fingerprinting Based on 2D-OPCA of Affine Covariant Regions
    Sunil Lee and Chang D. Yoo., International Conference on Image Processing (ICIP) 2008.
  2. [C46] MUSIC GENRE CLASSIFICATION USING NOVEL FEATURES AND A WEIGHTED VOTING METHOD
    Dalwon Jang, Minho Jin, and Chang D. Yoo, in Proceedings of IEEE International Conference on Multimedia and Expo, Hannover, Germany, June 2008.
  3. [C45] DEVELOPMENT OF A SIMPLE FREE VIEWPOINT VIDEO SYSTEM
    Seokhwan Jo, Dohyun Lee, Yoonseob Kim, and Chang D. Yoo, in Proceedings of IEEE International Conference on Multimedia and Expo, Hannover, Germany, June 2008.
  4. [C44] Robust Video Fingerprinting based on Affine Covariant Regions
    Sunil Lee and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2008.
  5. [J12] Robust Video Fingerprinting for Content-Based Video Identification
    Sunil Lee and Chang D. Yoo, IEEE Trans. Circuits and Systems for Video Technology, vol. 18, no. 7, pp. 983-988, July 2008. (Impact factor: 2.951)
  6. [J11] Alias-free subband adaptive filtering with critical sampling
    Sanggyun Kim, Chang D. Yoo and Truong Q. Nguyen, IEEE Transactions on Signal Processing, vol. 56, no. 5, pp.1894-1904, May 2008. (Impact factor: 2.335)

2007

  1. [C43] Automatic Floating-point to Fixed-point Conversion for Speech Recognition in Fixed-point DSP
    Sungrack Yun and Chang D. Yoo, in Proceedings of The 22nd International Technical Conference on Circuits/Systems, Computers and Communications, Busan, Korea, vol . . . . . 2, pp. 837-838, July 2007.
  2. [C42] The p-Norm of Likelihood Difference Estimation Algorithm for Hidden Markov Models
    Sungrack Yun and Chang D. Yoo, in Proceedings of The 22nd International Technical Conference on Circuits/Systems, Computers and Communications, Busan, Korea, vol. 3, pp. 1215-1216, July 2007.
  3. [C41] Temporal Dynamics for Spectral Sub-band Centroid Audio Fingerprints
    Minho Jin and Chang D. Yoo, in Proceedings of IEEE International Conference on Multimedia/Expo, Beijing, China, pp. 180-183, July 2007.
  4. [C40] Boosted Binary Audio Fingerprint Based on Spectral Subband Moments
    Sungwoong Kim and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2007.
  5. [C39] A Novel Adaptive Crosstalk Cancellation Using Psychoacoustic Model for 3D Audio
    JunSeong Kim, SangGyun Kim and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2007.
  6. [C38] Speech Enhancement Based on the Decomposition of Speech into Deterministic and Stochastic Components and Psychoacoustic Model
    Seokhwan Jo and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2007.
  7. [J10] A syllable Lattice Approach to Speaker Verification
    Minho Jin, Frank K. Soong and Chang D. Yoo, IEEE Transactions on Audio, Speech and Language processing, vol. 15, no. 8, pp. 2476-2484, Nov. 2007. (Impact factor: 1.848)
  8. [J9] Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform
    Sunil Lee, Chang D. Yoo, and Ton Kalker, IEEE Transactions on Information Forensics and Security, vol. 2, no. 3, pp. 321-330, September 2007. (Impact factor: 2.23)

2006

  1. [C37] Underdetermined Blind Source Separation Based on Generalized Gaussian Distribution
    SangGyun Kim and Chand D. Yoo, in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, pp. 103-108, September 2006.
  2. [C36] Automatic Commercial Monitoring for TV Broadcasting Using Audio Fingerprinting
    Dalwon Jang, Seungjae Lee, Jun Seok Lee, Minho Jin, Jin S. Seo, Sunil Lee and Chang D. Yoo, in Proceedings of The 29th Audio Engineering Society Conference, Seoul, Korea, pp. 38-43, September 2006.
  3. [C35] Video Fingerprinting Based on Centroids of Gradient Orientations
    Sunil Lee and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2006.
  4. [C34] A Novel Embedding Method For an Anti-Collusion Fingerprinting by Embedding Both a Code and an Orthogonal Fingerprint
    Dalwon Jang, Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2006.
  5. [C33] Syllable Lattice Based Re-Scoring For Speaker Verification
    Minho Jin, Frank K. Soong and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2006.
  6. [J8] Audio fingerprinting based on normalized spectral subband moments
    Jin S. Seo, Minho Jin, Sunil Lee, Dalwon Jang, Seungjae Lee, and Chang D. Yoo, IEEE Signal Processing Letters, vol. 13, no. 4, pp. 209-212, April 2006. (Impact factor: 1.203)
  7. [J7] Image watermarking based on invariant regions of scale-space representation
    Jin S. Seo and Chang D. Yoo,IEEE Transactions on Signal Processing, vol. 54, no. 4, pp. 1537-1549, April 2006. (Impact factor: 2.335)

2005

  1. [C32] Audio Fingerprinting Based on Normalized Spectral Subband Centroids
    Jin S. Seo, Minho Jin, Sunil Lee, Dalwon Jang, Seungjae Lee and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2005.
  2. [C31] An SVD-Based Watermarking Method for Image Content Authentication with Improved Security
    Seungjae Lee, Dalwon Jang and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2005.

2004

  1. [C30] Blind Separation of Speech and Sub-Gaussian Signals in Underdetermined Case
    SangGyun Kim and Chang D. Yoo, in Proceedings of International Conference on Spoken Language Processing, Jeju, Korea, pp. 2861-2864, October 2004.
  2. [C29] Hybrid Uterance Verification based on N-best Models and Model derived from Kullback-Leibler Divergence
    Minho Jin, Gyucheol Jang, Sungrack Yun, Chang D. Yoo, in Proceedings of International Conference on Spoken Language Processing, Jeju, Korea, pp. 1529-1532, October 2004.
  3. [C28] Underdetermined Independent Component Analysis by Data Generation
    SangGyun Kim and Chang D. Yoo, in Proceedings of Independent Component Analysis and Blind Signal Separation, Granada, Spain, pp. 445-452, September 2004.
  4. [C27] Image watermarking based on scale-space representation
    Jin S. Seo and Chang D. Yoo, in Proceedings of IS&T/SPIE Electronic Imaging, San Jose, California, USA, vol. 5306, pp. 560-570, January 2004.
  5. [J6] A robust registration method for a periodic watermark using Radon transform
    Jin S. Seo and Chang D. Yoo,IEICE transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E87-A, no. 8, pp. 2048-2050, August 2004. (Impact factor: 0.437)
  6. [J5] Localized image watermarking based on feature points of scale-space representation
    Jin S. Seo and Chang D. Yoo, Pattern Recognition, vol. 37, no. 7, pp. 1365-1375, July 2004. (Impact factor: 3.279)
  7. [J4] A robust image fingerprinting system using the Radon transform
    Jin S. Seo, JA Haitsma, Ton Kalker and Chang D. Yoo, Signal Processing: Image Communication, vol. 19, no. 4, pp. 325-339, April 2004. (Impact factor: 0.836).

2003

  1. [C26] Speaker Adaptation Based on Confidence-Weighted Training
    Gyucheol Jang, Minho Jin, and Chang D. Yoo, in Proceedings of Eurospeech, Geneva, Switzerland, pp. 1617-1620, September 2003.
  2. [C25] A Novel Transcoding Algorithm for SMV and G.723.1 Speech Coders via Direct Parameter Transformation
    Seongho Seo, Dalwon Jang, Sunil Lee, and Chang D. Yoo, in Proceedings of Eurospeech, Geneva, Switzerland, pp. 2861-2864, September 2003.
  3. [C24] A Novel Rate Selection Algorithm for Transcoding CELP-type Codec and SMV
    Dalwon Jang, Seongho Seo, Sunil Lee, and Chang D. Yoo, in Proceedings of Eurospeech, Geneva, Switzerland, pp. 2865-2868, September 2003.
  4. [C23] Accuracy Improved Double-Talk Detector Based on State-Transition Diagram
    SangGyun Kim, Jong Uk Kim, and Chang D. Yoo, in Proceedings of Eurospeech, Geneva, Switzerland, pp. 1421-1424, September 2003.
  5. [C22] A Robust and Sensitive Word Boundary Decision Algorithm
    Jong Uk Kim, SangGyun Kim, and Chang D. Yoo, in Proceedings of Eurospeech, Geneva, Switzerland, pp. 2857-2860, September 2003.
  6. [C21] Acoustic Echo Cancellation with Double-talk Detector in Subbands
    SangGyun Kim and Chang D. Yoo, in Proceedings of Internoise, Jeju, Korea, pp. 2631-2638, August 2003.
  7. [C20] Wavelet Speech Enhancement Based on Voiced/Unvoiced Decision
    Jong Kwan Lee and Chang D. Yoo, In Proceedings of Internoise, Jeju, Korea, pp. 4149-4156, August 2003.
  8. [C19] Psychoacoustically Motivated Subspace Speech Enhancement
    Jong Uk Kim and Chang D. Yoo,in Proceedings of Internoise, Jeju, Korea, pp. 4157-4164, August 2003.
  9. [C18] A Novel Transcoding Algorithm for AMR and EVRC Speech Codecs via Direct Parameter Transformation
    Sunil Lee, Seongho Seo, Dalwon Jang and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2003.
  10. [C17] The Incorporation of Masking Threshold to Subspace Speech Enhancement
    Jong Uk Kim, Sang G. Kim and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2003.
  11. [C16] Improvements in speaker adaptation using weighted training
    Gyucheol Jang, Sooyoung Woo, Minho Jin and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2003.
  12. [C15] Affine transform resilient image fingerprinting
    Jin S. Seo, Jaap Haitsma, Ton Kalker and Chang D. Yoo., The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2003.
  13. [J3] Highly Selective M-Channel IIR Cosine-Modulated Filter Banks
    SG Kim and CD Yoo, Electronics Letters, Vol. 39, No. 20, pp. 1478~1479, October 2003. (Impact factor: 1.159) .

2002

  1. [C14] Acoustic echo cancellation based on M-channel IIR cosine-modulated filter bank
    Sang G. Kim and Chang D. Yoo, in Proceedings of International Conference on Spoken Language Processing, Denver, Colorado, USA, vol. 2, pp. 789-792, September 2002.
  2. [C13] Subspace Speech Enhancement Using Subband Whitening Filter
    Jong Uk Kim and Chang D. Yoo, in Proceedings of International Conference on Spoken Language Processing, Denver, Colorado, USA, vol. 2, pp. 1085-1088, September 2002.
  3. [C12] On the design of template in the autocorrelation domain
    Jin S. Seo and Chang D. Yoo, in Proceedings of IS&T/SPIE Electronic Imaging, vol. 4675, pp. 305-312, San Jose, California, USA, January 2002.
  4. [J2] Speech Enhancement Based on Speech/Noise-Dominant Decision
    Sukhyun Yoon and Chang D. Yoo, IEICE Transactions on Information and Systems, vol. E85-D, no. 4, pp. 744-750, April 2002. (Impact factor: 0.369).

2001

  1. [C11] Oversampled adaptive subband structure
    SangGyun Kim and ChangDong Yoo, in Proceedings of International Conference on Speech Processing, Daejeon, Korea, vol. 2, pp. 907-910, August 2001.
  2. [C10] Voice segmentation algorithm
    Gyucheol Jang, Sooyoung Woo and Chand D. Yoo, in Proceedings of International Conference on Speech Processing, Daejeon, Korea, vol. 2, pp. 593-596, August 2001.
  3. [C9] Novel speech enhancement based on speech/noise-dominant decision
    Sukhyun Yoon and Chang D. Yoo, in Proceedings of International Conference on Speech Processing, Daejeon, Korea, vol. 2, pp. 911-914, August 2001.
  4. [C8] Improvement of tandemless transcoding from AMR to EVRC
    Wonil Lee, Sunil Lee and Changdong Yoo, in Proceedings of International Conference on Speech Processing, Daejeon, Korea, vol. 1, pp. 334-339, August 2001.
  5. [C7] Correlation detection of asymmetric watermark
    Jin S. Seo and Chang D. Yoo, in Proceedings of IEEE Pacific-Rim Conference on Multimedia, Beijing, China, vol. 2195, pp. 638-645, October 2001.
  6. [C6] Speech/Noise dominant decision for speech enhancement
    Sukhyun Yoon and Chang D. Yoo, in Proceedings of Eurospeech, Aalborg, Denmark, vol. 3, pp. 1941-1944, September 2001.

2000

  1. [C5] Comparison of acoustic echo cancellers based on neural network
    Jin S. Seo and Chang D. Yoo, in Proceedings of International Conference on Neural Information Processing, Daejeon, Korea, vol. 2, pp. 1363-1366, November 2000.

1999

  1. [C4] Utilizing Interband Acoustical Information for Modeling Stationary Time-Frequency Regions of Noisy Speech
    Chang D. Yoo, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, Arizona, USA, vol. 2, pp. 809-812, March 1999.

1996

  1. [C3] Selective All-Pole Modeling of Degraded Speech using M-Band Decomposition
    Chang D. Yoo, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Atlanta, Georgia, USA, vol. 2, pp. 641-644, May 1996.

1995

  1. [C2] Speech Enhancement Based on the Generalized Dual Excitation Model with Adaptive Analysis Window
    Chang D. Yoo and Jae S. Lim, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Detroit, Michigan, USA, vol. 1, pp. 832-835, May 1995.
  2. [J1] An Iterative Method for Designing Separable Wiener Filters
    Chang D. Yoo and Matthew M. Bace and Jae S. Lim, IEEE Transactions in Signal Processing, vol. 43, no. 1, pp. 262-271, January 1995. (Impact factor: 2.335)

1993

  1. [C1] Speech Enhancement using the Dual Excitation Speech Model
    John Hardwick, Chang D. Yoo and Jae S. Lim, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Minneapolis, Minnesota, USA, vol. 2, pp. 367-370, May 1993.
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