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Chang D. Yoo
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2020 – today
- 2023
[j40]Thanh Nguyen
, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11: 21534-21545 (2023)- [j39]EunMi Shin, Chang D. Yoo:
Efficient Convolutional Neural Networks for Semiconductor Wafer Bin Map Classification. Sensors 23(4): 1926 (2023) - [i35]Haeyong Kang, Chang D. Yoo:
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. CoRR abs/2301.00351 (2023) - [i34]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. CoRR abs/2303.02472 (2023) - [i33]Haeyong Kang, Chang D. Yoo, Yongcheon Na:
Maximum margin learning of t-SPNs for cell classification with filtered input. CoRR abs/2303.09065 (2023) - 2022
- [j38]Gwangsu Kim, Chang D. Yoo, Seong J. Yang:
Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access 10: 62282-62291 (2022) - [j37]Sunjae Yoon, Dahyun Kim, Junyeong Kim, Chang D. Yoo:
Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval. IEEE Access 10: 64560-64568 (2022) - [j36]Tung Minh Luu, Thanh Nguyen, Thang Vu, Chang D. Yoo:
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access 10: 64965-64975 (2022) - [j35]Gwangsu Kim, Chang D. Yoo:
Blending Query Strategy of Active Learning for Imbalanced Data. IEEE Access 10: 79526-79542 (2022) - [j34]Gwangsu Kim, Chang D. Yoo:
Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data". IEEE Access 10: 111909 (2022) - [j33]Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang D. Yoo:
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. IEEE Access 10: 113995-114007 (2022) - [j32]Sunghun Kang, Gwangsu Kim, Chang D. Yoo:
Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors 22(14): 5271 (2022) - [j31]Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo:
Dual-Scale Doppler Attention for Human Identification. Sensors 22(17): 6363 (2022) - [j30]Tung Minh Luu, Thang Vu, Thanh Nguyen, Chang D. Yoo:
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors 22(17): 6504 (2022) - [j29]Junyeong Kim, Ji Woo Hong, Sunjae Yoon, Chang D. Yoo:
CE-BART: Cause-and-Effect BART for Visual Commonsense Generation. Sensors 22(23): 9399 (2022) - [j28]Heting Gao, Xiaoxuan Wang, Sunghun Kang, Rusty Mina, Dias Issa, John B. Harvill, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo:
Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Commun. 136: 76-83 (2022) - [c108]Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI 2022: 7363-7371 - [c107]Liming Wang, Siyuan Feng, Mark Hasegawa-Johnson, Chang Dong Yoo:
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition. ACL (1) 2022: 8027-8047 - [c106]Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. CVPR 2022: 2698-2707 - [c105]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR 2022: 14421-14430 - [c104]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. ECCV (36) 2022: 185-200 - [c103]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. ECCV (30) 2022: 725-742 - [c102]Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang Dong Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. EMNLP (Findings) 2022: 1493-1502 - [c101]Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang Dong Yoo:
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. EMNLP 2022: 4182-4193 - [c100]Dahyun Kim, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo:
Semantic Association Network for Video Corpus Moment Retrieval. ICASSP 2022: 1720-1724 - [c99]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR 2022 - [c98]Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Winning Subnetworks. ICML 2022: 10734-10750 - [c97]John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo:
Frame-Level Stutter Detection. INTERSPEECH 2022: 2843-2847 - [i32]Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon:
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR abs/2202.05488 (2022) - [i31]Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. CoRR abs/2203.01509 (2022) - [i30]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR abs/2203.16262 (2022) - [i29]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR abs/2203.17248 (2022) - [i28]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets with Maximum Margin Loss. CoRR abs/2206.05380 (2022) - [i27]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. CoRR abs/2207.10899 (2022) - [i26]Trung Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo:
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR abs/2208.05744 (2022) - [i25]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR abs/2209.07529 (2022) - [i24]Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Nguyen, Junyeong Kim, Chang D. Yoo:
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. CoRR abs/2209.08263 (2022) - [i23]Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Nguyen, Sultan Rizky Hikmawan Madjid, Chang Dong Yoo:
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. CoRR abs/2210.08282 (2022) - [i22]Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo:
Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval. CoRR abs/2210.08714 (2022) - [i21]Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR abs/2211.09861 (2022) - [i20]Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo:
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. CoRR abs/2212.05765 (2022) - [i19]Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D. Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. CoRR abs/2212.07072 (2022) - 2021
- [j27]Tung Minh Luu, Chang D. Yoo:
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access 9: 51996-52007 (2021) - [j26]Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo:
Counterfactually Fair Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3515-3525 (2021) - [c96]Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo:
Structured Co-reference Graph Attention for Video-grounded Dialogue. AAAI 2021: 1789-1797 - [c95]Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. AAAI 2021: 2514-2522 - [c94]Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. AAAI 2021: 2701-2709 - [c93]Thanh Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo:
Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. ICASSP 2021: 3460-3464 - [c92]John B. Harvill, Dias Issa, Mark Hasegawa-Johnson, Chang Dong Yoo:
Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary. ICASSP 2021: 6428-6432 - [c91]Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo:
Weakly-Supervised Moment Retrieval Network for Video Corpus Moment Retrieval. ICIP 2021: 534-538 - [c90]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets With Maximum Margin Loss. ICIP 2021: 1269-1273 - [c89]Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo:
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. ICIP 2021: 3173-3177 - [c88]Thanh Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo:
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. IROS 2021: 3471-3477 - [c87]Kiran Ramnath, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo:
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering. NAACL-HLT 2021: 1908-1919 - [i18]Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. CoRR abs/2102.00831 (2021) - [i17]Thanh Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang Dong Yoo:
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning. CoRR abs/2103.08233 (2021) - [i16]Thanh Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo:
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. CoRR abs/2103.08255 (2021) - [i15]Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo:
Structured Co-reference Graph Attention for Video-grounded Dialogue. CoRR abs/2103.13361 (2021) - [i14]Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo:
Self-supervised Learning with Local Attention-Aware Feature. CoRR abs/2108.00475 (2021) - [i13]Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. CoRR abs/2109.11196 (2021) - [i12]Tung Minh Luu, Chang D. Yoo:
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. CoRR abs/2110.15043 (2021) - [i11]Thanh Nguyen, Hieu Hoang, Chang D. Yoo:
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention. CoRR abs/2111.05014 (2021) - 2020
- [j25]Hyunsin Park, Chang D. Yoo:
CNN-Based Learnable Gammatone Filterbank and Equal-Loudness Normalization for Environmental Sound Classification. IEEE Signal Process. Lett. 27: 411-415 (2020) - [c86]Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo:
Modality Shifting Attention Network for Multi-Modal Video Question Answering. CVPR 2020: 10103-10112 - [c85]Donghoon Lee, Hyunsin Park, Trung Pham, Chang D. Yoo:
Learning Augmentation Network via Influence Functions. CVPR 2020: 10958-10967 - [c84]Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo:
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval. ECCV (28) 2020: 156-171 - [c83]Minjeong Ju, Hobin Ryu, Sangkeun Moon, Chang Dong Yoo:
GAPNet: Generic-Attribute-Pose Network For Fine-Grained Visual Categorization Using Multi-Attribute Attention Module. ICIP 2020: 703-707 - [i10]Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo:
Modality Shifting Attention Network for Multi-modal Video Question Answering. CoRR abs/2007.02036 (2020) - [i9]Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo:
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval. CoRR abs/2008.10238 (2020) - [i8]Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. CoRR abs/2012.10150 (2020)
2010 – 2019
- 2019
- [c82]Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:
Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR 2019: 11-20 - [c81]Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Progressive Attention Memory Network for Movie Story Question Answering. CVPR 2019: 8337-8346 - [c80]Haeyong Kang, Gwangsu Kim, Chang Dong Yoo:
Few-Shot Associative Domain Adaptation for Surface Normal Estimation. ICIP 2019: 4619-4623 - [c79]Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. IJCNN 2019: 1-8 - [c78]Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Dong Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. NeurIPS 2019: 1430-1440 - [c77]Minjeong Ju, Sangkeun Moon, Chang D. Yoo:
Object Detection for Similar Appearance Objects Based on Entropy. RiTA 2019: 192-198 - [e1]Chang D. Yoo, Yun Qing Shi, Hyoung-Joong Kim, Alessandro Piva, Gwangsu Kim:
Digital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings. Lecture Notes in Computer Science 11378, Springer 2019, ISBN 978-3-030-11388-9 [contents] - [i7]Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Progressive Attention Memory Network for Movie Story Question Answering. CoRR abs/1904.08607 (2019) - [i6]Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:
Edge-labeling Graph Neural Network for Few-shot Learning. CoRR abs/1905.01436 (2019) - [i5]Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. CoRR abs/1905.13540 (2019) - [i4]Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. CoRR abs/1909.06720 (2019) - 2018
- [c76]Kangmin Bae, Minuk Ma, Hyunjun Jang, Minjeong Ju, Hyoungwoo Park, Chang D. Yoo:
ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved. ACCV (2) 2018: 447-462 - [c75]Thang Vu, Tung Minh Luu, Chang D. Yoo:
Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. ECCV Workshops (5) 2018: 98-113 - [c74]Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo:
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks. ECCV Workshops (5) 2018: 243-259 - [c73]Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim, Chang D. Yoo:
Pivot Correlational Neural Network for Multimodal Video Categorization. ECCV (14) 2018: 402-417 - [c72]Oh Chul Kwon, Junyeong Kim, Chang D. Yoo:
Action Recognition: First-and Second-Order 3D Feature in Bi-Directional Attention Network. ICIP 2018: 3453-3457 - [c71]Hyoungwoo Park, Minjeong Ju, Sangkeun Moon, Chang D. Yoo:
Unsupervised Domain Adaptation for Object Detection Using Distribution Matching in Various Feature Level. IWDW 2018: 363-372 - 2017
- [j24]Sanghyuk Park, Hyunsin Park, Chang D. Yoo:
Complex Video Scene Analysis Using Kernelized-Collaborative Behavior Pattern Learning Based on Hierarchical Representative Object Behaviors. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1275-1289 (2017) - [c70]ByungSoo Ko, Ho-Jin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, Chang D. Yoo:
Neural network-based autonomous navigation for a homecare mobile robot. BigComp 2017: 403-406 - [c69]Hyunsin Park, Chang D. Yoo:
Melody extraction and detection through LSTM-RNN with harmonic sum loss. ICASSP 2017: 2766-2770 - [c68]Junyeong Kim, Chang D. Yoo:
Deep partial person re-identification via attention model. ICIP 2017: 3425-3429 - [c67]HouJeung Han, Sunghun Kang, Chang D. Yoo:
Multi-view visual speech recognition based on multi task learning. ICIP 2017: 3983-3987 - [c66]Hyunwoo Nam, Chang D. Yoo:
Content adaptive video summarization using spatio-temporal features. ICIP 2017: 4003-4007 - [i3]Hyunsin Park, Chang D. Yoo:
Early Improving Recurrent Elastic Highway Network. CoRR abs/1708.04116 (2017) - [i2]Dawit Mureja, Hyunsin Park, Chang D. Yoo:
Meta-Learning via Feature-Label Memory Network. CoRR abs/1710.07110 (2017) - [i1]Seong Jin Cho, Sunghun Kang, Chang D. Yoo:
A Resizable Mini-batch Gradient Descent based on a Randomized Weighted Majority. CoRR abs/1711.06424 (2017) - 2016
- [j23]Haeyong Kang, Chang D. Yoo, Yongcheon Na:
Maximum Margin Learning of t-SPNs for Cell Classification With Filtered Input. IEEE J. Sel. Top. Signal Process. 10(1): 130-139 (2016) - [c65]Sanghyuk Park, Fei Pan, Sunghun Kang, Chang Dong Yoo:
Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks. ACCV Workshops (3) 2016: 154-164 - [c64]Mingoo Song, Chang D. Yoo:
Multimodal representation: Kneser-ney smoothing/skip-gram based neural language model. ICIP 2016: 2281-2285 - 2015
- [j22]Janghoon Cho, Chang D. Yoo:
Underdetermined Convolutive BSS: Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation. IEEE ACM Trans. Audio Speech Lang. Process. 23(5): 828-839 (2015) - [j21]Jinho Choi, Chang D. Yoo:
Underdetermined High-Resolution DOA Estimation: A 2ρth-Order Source-Signal/Noise Subspace Constrained Optimization. IEEE Trans. Signal Process. 63(7): 1858-1873 (2015) - [c63]Donghoon Lee, Hyunsin Park, Chang Dong Yoo:
Face alignment using cascade Gaussian process regression trees. CVPR 2015: 4204-4212 - [c62]Chulhee Yun, Donghoon Lee, Chang Dong Yoo:
Face detection using Local Hybrid Patterns. ICASSP 2015: 1468-1472 - [c61]Dat Tien Ngo, Sanghyuk Park, Anne Jorstad, Alberto Crivellaro, Chang Dong Yoo, Pascal Fua:
Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture. ICCV 2015: 2273-2281 - [c60]Changhoon Lee, Chang Dong Yoo:
Segment-wise online learning based on greedy algorithm for real-time multi-target tracking. ICIP 2015: 872-876 - [c59]Sunghun Kang, Donghoon Lee, Chang D. Yoo:
Face attribute classification using attribute-aware correlation map and gated convolutional neural networks. ICIP 2015: 4922-4926 - 2014
- [j20]Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli:
Image Segmentation UsingHigher-Order Correlation Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1761-1774 (2014) - [c58]Donghoon Lee, Junyoung Chung, Chang Dong Yoo:
Joint Estimation of Pose and Face Landmark. ACCV (4) 2014: 305-319 - [c57]Youngjoo Seo, Jongmin Kim, Hoyong Jang, Tae-Ho Kim, Chang D. Yoo:
Joint learning of foreground region labeling and depth ordering. ICASSP 2014: 5100-5104 - [c56]Jaesik Yoon, Jinho Choi, Chang D. Yoo:
A hierarchical-structured dictionary learning for image classification. ICIP 2014: 155-159 - [c55]Tae-Ho Kim, Changhoon Lee, Chang Dong Yoo:
Greedy algorithm for real-time multi-object tracking. ICIP 2014: 398-402 - [c54]Yuna Seo, Donghoon Lee, Chang D. Yoo:
Salient object detection using bipartite dictionary. ICIP 2014: 1145-1149 - 2013
- [j19]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo:
Task-Specific Image Partitioning. IEEE Trans. Image Process. 22(2): 488-500 (2013) - [c53]Janghoon Cho, Chang D. Yoo:
A maximum likelihood approach for underdetermined TDOA estimation. ICASSP 2013: 4001-4005 - 2012
- [j18]Sungrack Yun, Chang D. Yoo:
Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification. IEEE Trans. Speech Audio Process. 20(2): 585-598 (2012) - [c52]