Publications

[C40] Cross-view Masked Diffusion Transformers for Person Image Synthesis
Trung X. Pham*, Zhang Kang*, Chang D. Yoo, International Conference on Machine Learning (ICML), 2024.
[C39] FRAG: Frequency Adpating Group for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo, International Conference on Machine Learning (ICML), 2024.
[C38] 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.
[C37] 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.
[C36] 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.
[C35] 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.

[J1] 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.
[C34] 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)
[C33] 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)
[C32] 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.
[C31] A Theory of Unsupervised Speech Recognition
Liming Wang, Mark Hasegawa-Johnson and Chang D. Yoo, Association for Computational Linguistics (ACL) 2023. (Long paper)
[C30] 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)
[C29] 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)
[C28] 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.
[C27] 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.

[C26] 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)
[C25] 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)
[C24] 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.
[C23] 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.
[C22] 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%)]
[C21] 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, In So Kweon. Computer Vision and Pattern Recognition (CVPR) 2022.
[C20] Self-supervised Semantic-driven phoneme Discovery for Zero-resource Speech Recognition
Liming Wang, Mark Hasegawa, Chang D. Yoo Association for Computational Linguistics (ACL) 2022
[C19] 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, In So Kweon, International Conference on Learning Representations (ICLR), 2022.
[C18] 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.

[C17] 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.
[C16] 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.
[C15] Semantic Grouping Network for Video Captioning
Hobin Ryu, Sunghun Kang, Haeyoung Kang, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI), 2021.
[C14] SCNet: Training Inference Sample Consistency for Instance Segmentation
Thang Vu, Haeyong Kang, Chang D. Yoo, AAAI Conference on Artificial Intelligence (AAAI), 2021.

[C13] VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval
M inuk Ma*,SunjaeYoon*, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo., European Conference on Computer Vision (ECCV) 2020.
[C12] Learning Augmentation Network via Influence Functions
Donghoon Lee, Hyunsin Park, Trung Pham and Chang D. Yoo., Computer Vision and Pattern Recognition (CVPR) 2020.
[C11] 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.

[C10] 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%)]
[C9] 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%)]
[C8] 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.

[C7] 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

[C6] 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.
[C5] Face Alignment Using Cascade Gaussian Process Regression Trees
Donghoon Lee, Hyunsin Park, and Chang D. Yoo, Computer Vision and Pattern Recognition (CVPR) 2015.

[C4] 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.

[C3] Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli and Chang D. Yoo, Neural Information Processing Systems (NeurIPS), 2011.
[C2] Variable Grouping for Energy Minimization
Taesup Kim, Pushmeet Kohli, Sebastian Nowozin and Chang D. Yoo, Computer Vision and Pattern Recognition (CVPR) 2011.

[C1] Comparison of acoustic echo cancellers based on neural network
J in S. Seo and Chang D. Yoo, Neural Information Processing Systems (NeurIPS), 2000.

Publications

Major AI Publication

2024

[C40] Cross-view Masked Diffusion Transformers for Person Image Synthesis

[C39] FRAG: Frequency Adpating Group for Diffusion Video Editing

[C38] Querying Easily Flip-flopped Samples for Deep Active Learning

[C37] Progressive Fourier Neural Representation for Sequential Video Compilation

[C36] C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

[C35] SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

2023

[J1] Scalable SoftGroup for 3D Instance Segmentation on Point Clouds

[C34] Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation

[C33] HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue

[C32] SCANet: Scene Complexity Aware Network for Weakly-supervised Video Moment Retrieval

[C31] A Theory of Unsupervised Speech Recognition

[C30] Speak, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition

[C29] Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition

[C28] On the Soft-Subnetwork for Few-Shot Class Incremental Learning

[C27] ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure

2022

[C26] Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue

[C25] SMSMix: Sense Maintained Sentence Mixup for Word Sense Disambiguation

[C24] Selective Query-guided Debiasing for Video Corpus Moment Retrieval

[C23] Forget-free Continual Learning with Winning Subnetworks

[C22] SoftGroup for 3D Instance Segmentation on Point Clouds

[C21] Towards Understanding and Simplifying MoCo: Dual Temperature Helps Contrastive Learning without Many Negative Samples.

[C20] Self-supervised Semantic-driven phoneme Discovery for Zero-resource Speech Recognition

[C19] How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL

[C18] Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold.

2021

[C17] Worldly Wise (WoW)-Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering

[C16] Structured Co-reference Graph Attention for Video-grounded Dialogue

[C15] Semantic Grouping Network for Video Captioning

[C14] SCNet: Training Inference Sample Consistency for Instance Segmentation

2020

[C13] VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval

[C12] Learning Augmentation Network via Influence Functions

[C11] Modality Shifting Attention Network for Multi-modal Video Question Answering

2019

[C10] Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution

[C9] Edge-Labeling Graph Neural Network for Few-shot Learning

[C8] Progressive Attention Memory Network for Movie Story Question Answering

2018

[C7] Pivot Correlational Neural Network for Multimodal Video Categorization

2015

[C6] Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

[C5] Face Alignment Using Cascade Gaussian Process Regression Trees

2012

[C4] Phoneme Classification using Constrained Variational Gaussian Process Dynamical System

2011

[C3] Higher-Order Correlation Clustering for Image Segmentation

[C2] Variable Grouping for Energy Minimization

2000

[C1] Comparison of acoustic echo cancellers based on neural network