A Theory of Unsupervised Speech Recognition, Liming Wang, Mark Hasegawa-Johnson and Chang D. Yoo. Association for Computational Linguistics (ACL) 2023, (Long paper)
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)
Eunseop Yoon*, Hee Suk Yoon*, John Harvill, Mark Hasegawa-Johnson and Chang D. Yoo., "Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Nagative Speech Recognition., Association for Computational Linguistics (ACL) 2023, (Short paper, Findings)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo, "On the Soft-Subnetwork for Few-Shot Class Incremental Learning", International Conference on Learning Representations (ICLR) 2023
Hee Suk Yoon*, Joshua Tian Jin Tee*, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo, "ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure", International Conference on Learning Representations (ICLR) 2023
Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim and Chang D. Yoo, "Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue", The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Long Paper)
Hee Suk Yoon, Eunseop Yoon, John Harvill, Sunjae Yoon, Mark Hasegawa-Johnson and Chang D. Yoo, "SMSMix: Sense Maintained Sentence Mixup for Word Sense Disambiguation", The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Short Paper, Findings)
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, DaHyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo, "Selective Query-guided Debiasing for Video Corpus Moment Retrieval", European Conference on Computer Vision (ECCV) 2022.
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon, "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness", European Conference on Computer Vision (ECCV) 2022. [Oral presentation (top 2.7%)]
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, and Chang D. Yoo, Forget-free Continual Learning with Winning Subnetworks, International Conference on Machine Learning (ICML) 2022
Thang Vu, Kookhoi Kim, Tung Luu, Thanh Nguyen, Chang D. Yoo, "SoftGroup for 3D Instance Segmentation on Point Clouds", Computer Vision and Pattern Recognition (CVPR) 2022, [Oral presentation (top 4%)]
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon. “How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL” in The International Conference on Learning Representations (ICLR) 2022.
Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo. "Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold." in AAAI Conference on Artificial Intelligence (AAAI) 2022.
Kiran Ramnath, Leda Sari, Mark Hasegawa-johnson and Chang Yoo, " Worldly Wise (WoW)-Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
Eunseop Yoon*, Hee Suk Yoon*, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo, "Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction", INTERSPEECH 2023
Eunseop Yoon*, Hee Suk Yoon*, John Harvill, Mark Hasegawa-Johnson and Chang D. Yoo., "Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Nagative Speech Recognition", Association for Computational Linguistics (ACL) 2023, (Short paper, Findings)
Sunjae Yoon, Ji Woo Hong, SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Daehyeok Kim, Junyeong Kim, Chanwoo Kim, Chang D. Yoo, "Counterfactual Two-stage Debiasing for Video Corpus Moment Retrieval" (ICASSP) 2023 [Oral Presentation].
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo, "On the Soft-Subnetwork for Few-Shot Class Incremental Learning", International Conference on Learning Representations (ICLR) 2023
Hee Suk Yoon*, Joshua Tian Jin Tee*, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo, "ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure", International Conference on Learning Representations (ICLR) 2023
Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim and Chang D. Yoo, "Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue", The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Long Paper)
Hee Suk Yoon, Eunseop Yoon, John Harvill, Sunjae Yoon, Mark Hasegawa-Johnson and Chang D. Yoo, "SMSMix: Sense Maintained Sentence Mixup for Word Sense Disambiguation", The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Short Paper, Findings)
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, DaHyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo, "Selective Query-guided Debiasing for Video Corpus Moment Retrieval", European Conference on Computer Vision (ECCV) 2022.
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon, "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness", European Conference on Computer Vision (ECCV) 2022. [Oral presentation (top 2.7%)]
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, and Chang D. Yoo, Forget-free Continual Learning with Winning Subnetworks, International Conference on Machine Learning (ICML) 2022
Thang Vu, Kookhoi Kim, Tung Luu, Thanh Nguyen, Chang D. Yoo, "SoftGroup for 3D Instance Segmentation on Point Clouds", Computer Vision and Pattern Recognition (CVPR) 2022, [Oral presentation (top 4%)]
Chaoning Zhang*, Kang Zhang*, Trung Pham*, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon. "Towards Understanding and Simplifying MoCo: Dual Temperature Helps Contrastive Learning without Many Negative Samples." , Computer Vision and Pattern Recognition (CVPR) 2022
Liming Wang, Mark Hasegawa, Chang D. Yoo, "Self-supervised Semantic-driven phoneme Discovery for Zero-resource Speech Recognition " Association for Computational Linguistics (ACL) 2022
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon. “How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL” in The International Conference on Learning Representations (ICLR) 2022.
Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo. "Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold." in AAAI Conference on Artificial Intelligence (AAAI) 2022.
Kiran Ramnath, Leda Sari, Mark Hasegawa-johnson and Chang Yoo, " Worldly Wise (WoW)-Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
Junyeong Kim, Sunjae Yoon, DaHyun Kim, Chang D. Yoo, “Structured Co-reference Graph Attention for Video-grounded Dialogue”, in AAAI Conference on Artificial Intelligence (AAAI), 2021.
Hobin Ryu, Sunghun Kang, Haeyoung Kang, Chang D. Yoo ,"Semantic Grouping Network for Video Captioning", in AAAI Conference on Artificial Intelligence (AAAI), 2021.
Thang Vu, Haeyong Kang, Chang D. Yoo, “SCNet: Training Inference Sample Consistency for Instance Segmentation”, in AAAI Conference on Artificial Intelligence (AAAI), 2021.
Harvil John Bowman, Chang D. Yoo, Mark Hasegawa-Johnson, "Frame-Level Stutter Detection", INTERSPEECH 2022
Dahyun Kim, Sunjae Yoon, Ji Woo Hong, Chang D Yoo, "Semantic Association Network for Video Corpus Moment Retrieval", The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.
Thanh Nguyen", Tung Luu", Thang Vu, Chand D. Yoo, "Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model", The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
Sunjae Yoon*, Dahyun Kim*, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo, "WEAKLY-SUPERVISED MOMENT RETRIEVAL NETWORK FOR VIDEO CORPUS MOMENT RETRIEVAL" The 28th IEEE International Conference on Image Processing (ICIP) 2021
Haeyoung Kang, Thang Vu, Chang D. Yoo, "Learning Imbalance Datasets with Maximum Margin Loss", The 28th IEEE International Conference on Image Processing (ICIP) 2021
Thang Vu, Kookhoi kim, Haeyoung Kang, Xuan Thanh Nguyen, Tung M. Luu, Chang D, Yoo "SPHERERPN: LEARNING SPHERES FOR HIGH-QUALITY REGION PROPOSALS ON 3D POINT CLOUDS OBJECT DETECTION", The 28th IEEE International Conference on Image Processing (ICIP) 2021
T hanh Nguyen, Tung Luu, Trung Pham, Sanzhar Rakhimkul, Chang D. Yoo, "Robust MAML: Prioritization Task Buffer with Adaptive LearningProcess For Model-Agnostic Meta-Learning", The International Conference on Acoustics, Speech, & Signal Processing ( ICASSP), 2021
John Harvill, Dias Issa, Mark Hasegawa-Johnson, Chang D. Yoo, "Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary", The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021
M inuk Ma*,Sunjae Yoon*, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo, "VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval", European Conference on Computer Vision, (ECCV) 2020
Donghoon Lee, Hyunsin Park, Trung Pham and Chang D. Yoo, “Learning Augmentation Network via Influence Functions”, Computer Vision and Pattern Recognition, (CVPR) 2020
Junyeong Kim, Minuk Ma, Trung X, Kyungsu Kim and Chang D. Yoo, "Modality Shifting Attention Network for Multi-modal Video Question Answering", Computer Vision and Pattern Recognition, (CVPR) 2020
Minjeong Ju, Hobin Ryu, Sangkeun Moon and Chang D. Yoo. "GAPNet: Generic-Attribute-Pose Network for Fine-Grained Visual Categorization Using Multi-Attribute Attention Module" The 27th IEEE International Conference on Image Processing, (ICIP) 2020
Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo, "Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution", Thirty-third Conference on Neural Information Processing Systems, (Neurips) 2019 [Spotlight (top 2.4%)]
Haeyong Kang, Gwangsu Kim and Chang D. Yoo, "FEW-SHOT ASSOCIATIVE DOMAIN ADAPTATION FOR SURFACE NORMAL ESTIMATION", The 26th IEEE International Conference on Image Processing, (ICIP) 2019
Junyeong Kim, Minuk Ma, Kyungsu Kim, Sunjin Kim, and Chang D. Yoo, "Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering", International Joint Conference on Neural Networks, (IJCNN) 2019
Jongmin Kim, Taesup Kim, Sungwoong Kim, and Chang D. Yoo "Edge-Labeling Graph Neural Network for Few-shot Learning", Computer Vision and Pattern Recognition, (CVPR) 2019 [Oral presentation (top 5.6%)]
Kangmin Bae, Minuk Ma, Hyunjun Jang, Minjeong Ju, Hyoungwoo Park, and Chang D. Yoo, "ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved", Asian Conference on Computer Vision, (ACCV) 2018
Vu, Thang, Tung M. Luu, and Chang D. Yoo. "Perception-enhanced image super-resolution via relativistic generative adversarial networks." Perceptual Image Restoration and Manipulation Workshop and Challenge, European Conference on Computer Vision, (ECCV) 2018
Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim and Chang D. Yoo, "Pivot Correlational Neural Network for Multimodal Video Categorization", European Conference on Computer Vision, (ECCV) 2018
OH CHULKWON, Junyeong Kim, Chang D.Yoo, “Action Recognition: First-And Second-Order 3D Feature in Bi-Directional Attention Network”, International Conference on Image Processing, (ICIP) 2018
Byung Soo, ByungSoo Ko, HoJin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, Chang D. Yoo., "Neural network-based autonomous navigation for a homecare mobile robot", IEEE International Conference on Big Data and Smart Computing (BigComp), 2017
Hyunwoo Nam, Chang D. Yoo, "Content Adaptive Video Summarization using Spatio-Temporal Feature", International Conference on Image Processing, (ICIP) 2017
Junyeong Kim, Chang D Yoo, "Deep Partial Person Re-identification via Attention Model", International Conference on Image Processing, (ICIP) 2017
Hyunsin Park, Chang D. Yoo, “Melody extraction and detection through LSTM-RNN with harmonic sum loss”, in Proceedings of International Conference on Acoustics, Speech and Signal Processing, (ICASSP) 2017
Sanghyuk Park, Fei Pan, Sunghun Kang and Chang D. Yoo, "Driver drowsiness detection system based on feature representation learning using various deep workshops", The ACCV on Driver Drowsiness Detection from Video 2016, Taipei, Taiwan, (ROC), 2016
Mingoo Song, Chang D. Yoo, "Multimodal Representation: Kneser-Ney Smoothing/Skip-gram based Neural Language Model", in Proceedings of International Conference on Image Processing, (ICIP) 2016.
DatTien Ngo*, Sanghuyk Park*, Anne Jorstad, Alberto Crivellaro, Chang.D Yoo, Pascal Fua, "Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture", in Proceedings of International Conference on Computer Vision, Santiago, Chile, (ICCV) 2015.
Changhoon Lee and Chang D. Yoo, “Segment-wise Online Learning based on Greedy Algorithm For Real-time Multi-target Tracking”, in Proceedings of International Conference on Image Processing, Quebec, Canada, (ICIP) 2015.
Sunghun Kang, Donghoon Lee, and Chang D. Yoo, "Face attribute classification using attribute-aware correlation map and gated convolutional neural networks", in Proceedings of International Conference on Image Processing, Quebec, Canada, (ICIP) 2015.
Donghoon Lee, Hyunsin Park, and Chang D. Yoo, “Face Alignment Using Cascade Gaussian Process Regression Trees”, in Proceedings of International Conference on Computer Vision and Pattern Recognition, Boston, USA, (CVPR) 2015.
Chulhee Yun, Donghoon Lee, and Chang D. Yoo, "Face Detection using Local Hybrid Patterns," in Proceedings of International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, (ICASSP) 2015.
Donghoon Lee, Junyoung Chung, Chang D. Yoo, "Joint Estimation of Pose and Face Landmark", in Proceedings of Asian Conference on Computer Vision, Singapore, (ACCV) 2014.
Tae-Ho Kim, Changhoon Lee, Chang D. Yoo, "Greedy algorithm for Real-time Multi-object Tracking", International Conference on Image Processing, Paris, France, (ICIP) 2014.
Jaesik Yoon, Jin Ho Choi and Chang D. Yoo, "A hierarchical structured dictionary algorithm for classification", International Conference on Image Processing, Paris, France, (ICIP) 2014.
Yuna Seo, Donghoon Lee, and Chang D. Yoo, "Salient object detection using bipartite dictionary", International Conference on Image Processing, Paris, France, (ICIP) 2014.
Young-Joo Seo, Jongmin Kim, Hoyong Jang, Tae-Ho Kim and Chang D. Yoo, "Joint Learning of Foreground Region Labeling and Depth Ordering", International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, (ICASSP) 2014.
Kang J., Jang H., Yoo Ch.D. "Image denoising via energy oriented sparse representation", 11th International Conference on Pattern Recognition and Image Analysis, Russia, 2013.
Park S., Yoon J., Yoo Ch. D., Kwon J. "Complex scene analysis using hierarchical sparse concept representation", 11th International Conference on Pattern Recognition and Image Analysis, Russia, 2013.
Jongmin Kim, Sanghyuk Park, Youngju Seo, Sungrack Yun, and Chang D. Yoo, "Joint Kernel Learning for Supervised Image Segmentation" in Proceedings of Asian Conference on Computer Vision, Daejeon, Korea, November 2012.
Donghoon Lee, Hyunsin Park, Junyoung Chung, Youngook Song, and Chang D. Yoo, "Sparsity sharing embedding for face verification" in Proceedings of Asian Conference on Computer Vision, Daejeon, Korea, November 2012.
Hyunsin Park, Sungrack Yun, Jongmin Kim, Sanghyuk Park, and Chang D. Yoo, "Phoneme Classification using Constrained Variational Gaussian Process Dynamical System" in Proceedings of Neural Information Processing Systems, Lake Tahoe, Nevada, United States, December 2012.
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli and Chang D. Yoo, "Higher-Order Correlation Clustering for Image Segmentation," in Proceedings of Neural Information Processing Systems, Granada, Spain, December 2011.
Sihyun Joo, Sanghun Park, Seokhwan Jo and Chang D. Yoo, "Melody Extraction based on Harmonic Coded Structure," in Proceedings of ISMIR 2011, Miami, USA, October 2011.
Janghoon Cho, Jinho Choi and Chang D. Yoo, "Underdetermined Convolutive BSS based on a Novel Mixing Matrix Estimation and MMSE based Source Estimation," in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, Beijing, China, September 2011.
Jinho Choi and Chang D. Yoo, "A High Resolution Multiple Source Localization based on Generalized Cumulant Structure (GCS) Matrix," in Proceedings of Interspeech, Florence, Italy, August 2011.
Juwan Lee, Sanghun Park, Seokhwan Jo and Chang D. Yoo, "Music Plagiarism Detection System," in Proceedings of The 26th International Technical Conference on Circuits/Systems, Computers and Communications, Gyeongju, Korea, June 2011.
Sanghyuk Park, Sungrack Yun, Donghoon Lee and Chang D. Yoo, "Efficient Drowsiness Detection Algorithm for Active Safety Driving System," in Proceedings of The 26th International Technical Conference on Circuits/Systems, Computers and Communications, Gyeongju, Korea, June 2011.
Taesup Kim, Pushmeet Kohli, Sebastian Nowozin and Chang D. Yoo, "Variable Grouping for Energy Minimization," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Colorado, USA, June 2011.