Browse "School of Electrical Engineering(전기및전자공학부)" by Author Yoo, Chang-Dong
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| A hierarchical-structured dictionary learning for image classification Yoon, Jaesik; Choi, Jinho; Yoo, Chang-Dong, 2014 IEEE International Conference on Image Processing, ICIP 2014, pp.155 - 159, IEEE Signal Processing Society, 2014-10 |
| A Resizable Mini-batch Gradient Descent based on a Randomized Weighted Majority Cho, Seong Jin; Yoo, Chang-Dong; Kang, Sunghun, IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
| A study on Weighted Softmax Kim, Junyeong; PARK, HYOUNG WOO; Yoo, Chang-Dong, ITC-CSCC, The Institute of Electronics and Information Engineers (IEIE), Korea, 2017-07-03 |
| A Theory of Unsupervised Speech Recognition Liming, Wang; Hasegawa-Johnson, Mark; Yoo, Chang-Dong, The 61st Annual Meeting of the Association for Computational Linguistics, The 61st Annual Meeting of the Association for Computational Linguistics, 2023-07 |
| A tree-structured discriminative dictionary learning for classification = 트리 구조의 구별력있는 딕셔너리 학습을 통한 분류 알고리즘link Yoon, Jae-Sik; 윤재식; et al, 한국과학기술원, 2014 |
| (A) co-classification framework for transfer learning using a semi-supervised topic model = 반감독 토픽 모델을 이용한 전달 학습 기법의 동시 분류 프레임워크link Yun, Sung-Rack; 윤성락; et al, 한국과학기술원, 2012 |
| (A) novel crosstalk cancellation for 3D audio = 입체 음향 구현을 위한 적응 간섭 제거기 설계link Kim, Jun-Sung; 김준성; et al, 한국과학기술원, 2006 |
| (A) secure SVD-based watermarking method for image content authentication = 특이치 분해를 이용한 안전한 내용 기반 인증을 위한 워터마킹 방법link Lee, Seung-Jae; 이승재; et al, 한국과학기술원, 2005 |
| Action Recognition: First-and Second-Order 3D Feature in Bi-Directional Attention Network Kwon, Oh Chul; Kim, Junyeong; Yoo, Chang-Dong, 2018 25th IEEE International Conference on Image Processing (ICIP), pp.3453 - 3457, IEEE, 2018-10-10 |
| AMR과 EVRC 음성부호화기의 tandemless 방법을 이용한 상호 부호화에 관한 연구 = Tandemless transcoding between AMR and EVRC speech coderslink 이원일; Lee, Won-Il; et al, 한국과학기술원, 2001 |
| (An) approach for melody extraction using a harmonic structure model = 하모닉 구조 모델을 이용한 멜로디 추출 접근link Joo, Si-Hyun; 주시현; et al, 한국과학기술원, 2011 |
| (An) approach for melody extraction using a harmonic structure model = 하모닉 구조 모델을 이용한 멜로디 추출 접근link Joo, Si-Hyun; 주시현; et al, 한국과학기술원, 2011 |
| (An) out-of-vocabulary rejection technique using anti-phoneme model and on-line garbage model in hidden Markov model = 은닉 마르코프 모델에서의 반음소 모델과 온라인 가비지 모델을 이용한 비인식대상 어휘 제거 기법link Jin, Min-Ho; 진민호; et al, 한국과학기술원, 2004 |
| Associative Scene Semantic Segmentation Han, Hyou Jeong; PARK, HYOUNG WOO; Yoo, Chang-Dong, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
| Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies Kim, Gwangsu; Yoo, Chang-Dong; Kim, Yongdai, BAYESIAN ANALYSIS, no.1, pp.1 - 19, 2023-01 |
Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics Wang, Hee Seung; Hong, Seong Kwang; Han, Jae Hyun; Jung, Young Hoon; Jeong, Hyun Kyu; Im, Tae Hong; Jeong, Chang Kyu; et al, SCIENCE ADVANCES, v.7, no.7, 2021-02 |
| Blending Query Strategy of Active Learning for Imbalanced Data Kim, Gwangsu; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.79526 - 79542, 2022 |
| Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval Yoon, Sunjae; Kim, Dahyun; Kim, Junyeong; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64560 - 64568, 2022 |
| CE-BART: Cause-and-Effect BART for Visual Commonsense Generation Kim, Junyeong; Hong, Ji Woo; Yoon, Sunjae; Yoo, Chang-Dong, SENSORS, v.22, no.23, 2022-12 |
| Clinical Validation of a Wearable Piezoelectric Blood-Pressure Sensor for Continuous Health Monitoring Min, Seongwook; Kim, Dong Hyun; Joe, Daniel J.; Kim, Byung Woo; Jung, Young Hoon; Lee, Jae Hee; Lee, Bo-Yeon; et al, ADVANCED MATERIALS, v.35, no.26, 2023-06 |
| Complex Video Scene Analysis Using Kernelized-Collaborative Behavior Pattern Learning Based on Hierarchical Representative Object Behaviors Park, Sang Hyuk; Park, Hyunsin; Yoo, Chang-Dong, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.27, no.6, pp.1275 - 1289, 2017-06 |
| Content Adaptive Video Summarization using Spatio-temporal Features Nam, Hyunwoo; Yoo, Chang-Dong, IEEE International Conference on Image Processing, IEEE Signal Processing Society, 2017-09-20 |
| Counterfactual Two-stage Debiasing for Video Corpus Moment Retrieval Yoon, Sunjae; Hong, Ji Woo; Eom, SooHwan; Yoon, Hee Suk; Yoon, Eunseop; Kim, Daehyeok; Kim, Junyeong; et al, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2023-06-09 |
| Counterfactually Fair Automatic Speech Recognition Sari, Leda; Hasegawa-Johnson, Mark; Yoo, Chang-Dong, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.29, pp.3515 - 3525, 2021-12 |
| Deep attribute networks = 심화 속성망link Chung, Jun-Young; 정준영; et al, 한국과학기술원, 2012 |
| Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing Jung, Young Hoon; Pham, Trung Xuan; Issa, Dias; Wang, Hee Seung; Lee, Jae Hee; Chung, Mingi; Lee, Bo-Yeon; et al, NANO ENERGY, v.101, 2022-10 |
| Deep partial person re-identification via attention model Kim, Junyeong; Yoo, Chang-Dong, 2017 IEEE International Conference on Image Processing (ICIP), IEEE Signal Processing Society, 2017-09-18 |
| Deep Partial Person-Reidentification via Attention Model Kim, Junyeong; Yoo, Chang-Dong, IEEE International Conference on Image Processing, IEEE Signal Processing Society, 2017-09-18 |
| Deep Spiral Convolution Neural Network: A Fully End-to-End Texture Enhanced Multi-scale Super-Resolution Network Park, Sang Hyuk; PARK, HYOUNG WOO; Yoo, Chang-Dong, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
| Delving into High-Quality Region Proposal Network with Adaptive Convolution Vu, Thang; Jang, Hyunjun; PHAM, XUAN TRUNG; Yoo, Chang-Dong, Thirty-third Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2019-12-11 |
| Detection of Bird's Nest in Real Time Based on Relation with Electric Pole Using Deep Neural Network Ju, Minjeong; Yoo, Chang-Dong, The 34th International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC), pp.389 - 392, The Institute of Electronics and Information Engineers (IEIE), Korea, 2019-06-25 |
| DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning Nguyen, Thanh; Pham, Trung Xuan; Zhang, Chaoning; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.11, pp.21534 - 21545, 2023 |
| Distance metric learning for content identification = 콘텐츠 식별을 위한 거리 함수 학습link Jang, Dal-Won; 장달원; et al, 한국과학기술원, 2010 |
| Driver drowsiness detection system based on feature representation learning using various deep networks Park, Sang Hyuk; Pan, Fei; Kang, Sunghun; Yoo, Chang-Dong, 13th Asian Conference on Computer Vision, ACCV 2016, pp.154 - 164, Springer Verlag, 2016-11 |
| Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Zhang, Chaoning; Zhang, Kang; Pham, Trung X; Niu, Axi; Qiao, Zhinan; Yoo, Chang-Dong; Kweon, In-So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.14421 - 14430, IEEE, 2022-06 |
| Edge-Labeling Graph Neural Network for Few-shot Learning Kim, Jongmin; Kim, Saesup; Kim, Sungwoong; Yoo, Chang-Dong, IEEE Conference on Computer Vision and Pattern Recognition, pp.11 - 20, Computer Vision Foundation / IEEE Computer Society, 2019-06-18 |
| Efficient Convolutional Neural Networks for Semiconductor Wafer Bin Map Classification Shin, Eunmi; Yoo, Chang-Dong, SENSORS, v.23, no.4, 2023-02 |
| Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation Han, Gunsoo; Jo, Daejin; Nam, Daniel Wontae; Yoon, Eunseop; Kwon, Taehwan; Rho, Seungeun; On, Kyoung-Woon; et al, The 2023 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (ACL), 2023-12 |
| ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure Yoon, Hee Suk; Tee, Joshua Tian Jin; Yoon, Eunseop; Yoon, Sunjae; Kim, Gwangsu; Li, Yingzhen; Yoo, Chang-Dong, International Conference on Learning Representations (ICLR) 2023, International Conference on Learning Representations, 2023-05-02 |
| Face Alignment using Cascade Gaussian Process Regression Trees Lee, Donghoon; Park, Hyunsin; Yoo, Chang-Dong, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society and the Computer Vision Foundation (CVF), 2015-06-10 |
| Face detection by confident component detectors = 신뢰도가 높은 구성요소 검출기를 이용한 얼굴 검출link Kayastha, Swastik Prasad; 스워스틱; et al, 한국과학기술원, 2010 |
| Face Detection using Local Hybrid Patterns Yun, Chulhee; Lee, Donghoon; Yoo, Chang-Dong, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, 2015-04-22 |
| Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation Kang, Sunghun; Kim, Gwangsu; Yoo, Chang-Dong, SENSORS, v.22, no.14, 2022-07 |
| Fast and efficient image quality enhancement via desubpixel convolutional neural networks Vu, Thang; Nguyen, Cao V; Pham, Trung X; Luu, Tung M; Yoo, Chang-Dong, 15th European Conference on Computer Vision, ECCV 2018, pp.243 - 259, Springer Verlag, 2018-09 |
| Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold Lee, Junghyun; Kim, Gwangsu; Olfat, Mahbod; Mark, Hasegawa-Johnson; Yoo, Chang-Dong, 36th AAAI Conference on Artificial Intelligence, AAAI-22, pp.7363 - 7371, Association for the Advancement of Artificial Intelligence (AAAI), 2022-02-24 |
| Fast and Memory-Efficient Uncertainty-Aware Framework for Offline Reinforcement Learning with Rank One MIMO Q network Nguyen, Thanh; Luu, Tung; Yoo, Chang-Dong, IROS 2023 Workshop on Policy Learning in Geometric Spaces, IROS 2023 Workshop, 2023-10 |
| Few-Shot Associative Domain Adaptation for Surface Normal Estimation Kang, Haeyong; Kim, Gwangsu; Yoo, Chang-Dong, International Conference on Image Processing (ICIP), IEEE, 2019-09-25 |
| Forget-free Continual Learning with Winning Subnetworks Kang, Haeyong; Mina, Rusty John Lloyd; Madjid, Sultan Rizky Hikmawan; Yoon, Jaehong; Hasegawa-Johnson, Mark; Hwang, Sung Ju; Yoo, Chang-Dong, Fortieth International Conference on Machine Learning, ICML 2022, pp.10734 - 10750, The International Conference on Machine Learning (ICML), 2022-07-19 |
| Frame-Level Stutter Detection Harvill, John; Hasegawa-Johnson, Mark; Yoo, Chang-Dong, 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, pp.2843 - 2847, The Acoustical Society of Korea, 2022-09 |
| Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering Kim, Junyeong; Ma, Minuk; Kim, Kyungsu; Kim, Sungjin; Yoo, Chang-Dong, The International Joint Conference on Neural Networks, International Neural Network Society / IEEE Computational Intelligence Society, 2019-07-16 |
| GAPNET: GENERIC-ATTRIBUTE-POSE NETWORK FOR FINE-GRAINED VISUAL CATEGORIZATION USING MULTI-ATTRIBUTE ATTENTION MODULE Ju, Minjeong; Ryu, Hobin; Moon, Sangkeun; Yoo, Chang-Dong, IEEE International Conference on Image Processing, ICIP 2020, pp.703 - 707, IEEE, 2020-09 |
| Generative model for music similarity = 유사 음악 검색을 위한 생성 모델link 이주완; Lee, Ju-Wan; et al, 한국과학기술원, 2012 |
| Hearing Enhanced Audio Response for Video-grounded Dialogue Yoon, Sunjae; Kim, Dahyun; Yoon, Eunseop; Yoon, Hee Suk; Kim, Junyeong; Yoo, Chang-Dong, The 2023 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (ACL), 2023-12 |
| Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Luu, Tung M.; Yoo, Chang-Dong, IEEE ACCESS, v.9, pp.51996 - 52007, 2021-04 |
| HMM-based note onset detection of natural humming for query by humming systems = 자연스러운 흥얼 거림 거색 시스템을 위한 은닉 마르코프 모델 기반의 음의 시작 위치 추출link Kim, Jae-Wook; 김재욱; et al, 한국과학기술원, 2010 |
| HOW DOES SIMSIAM AVOID COLLAPSE WITHOUT NEGATIVE SAMPLES? A UNIFIED UNDERSTANDING WITH SELF-SUPERVISED CONTRASTIVE LEARNING Zhang, Chaoning; Zhang, Kang; Zhang, Chenshuang; Pham, Trung X; Yoo, Chang-Dong; Kweon, In-So, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04 |
| How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL Zhang, Chaoning; Zhang, Kang; Yoo, Chang-Dong; Kweon, In-So, The International Conference on Learning Representations, ICLR 2022, The International Conference on Learning Representations (ICLR), 2022-04-27 |
| ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved Bae, Kangmin; Minuk Ma; Hyunjun Jang; Minjeong Ju; PARK, HYOUNG WOO; Yoo, Chang-Dong, 14th Asian Conference on Computer Vision (ACCV), pp.447 - 462, Asian Conference on Computer Vision, 2018-12-05 |
| Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition Yoon, Eunseop; Yoon, Hee Suk; Harvill, John; Hasegawa-Johnson, Mark; Yoo, Chang-Dong, The 61st Annual Meeting of the Association for Computational Linguistics, The 61st Annual Meeting of the Association for Computational Linguistics, 2023-07 |
| Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue Yoon, Sunjae; Yoon, Eunseop; Yoon, Hee Suk; Kim, Junyeong; Yoo, Chang-Dong, The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp.4182 - 4193, EMNLP, 2022-12 |
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