Yoo, Chang D.

44 publications

NeurIPS 2025 A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany, Eunseop Yoon, Chang D. Yoo

ICLR 2025 Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo

ICML 2025 ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo

ICML 2025 Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo

ICML 2025 FlowDrag: 3D-Aware Drag-Based Image Editing with Mesh-Guided Deformation Vector Flow Fields Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo

CVPR 2025 ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-on Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo

ICLR 2025 MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation Trung X. Pham, Tri Ton, Chang D. Yoo

ICCV 2025 Occlusion-Robust Stylization for Drawing-Based 3D Animation Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo

ICCV 2025 TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis Tri Ton, Ji Woo Hong, Chang D. Yoo

ECCV 2024 BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo

ICLR 2024 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 A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo

ICML 2024 Cross-View Masked Diffusion Transformers for Person Image Synthesis Trung X. Pham, Kang Zhang, Chang D. Yoo

ECCV 2024 DNI: Dilutional Noise Initialization for Diffusion Video Editing Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo

ICML 2024 FRAG: Frequency Adapting Group for Diffusion Video Editing Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo

ECCV 2024 FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo

ECCV 2024 Implicit Steganography Beyond the Constraints of Modality Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim

TMLR 2024 Physics Informed Distillation for Diffusion Models Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya Nagaraja Gowda, Chanwoo Kim, Chang D. Yoo

ICLR 2024 Progressive Fourier Neural Representation for Sequential Video Compilation Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang D. Yoo

ICLR 2024 Querying Easily Flip-Flopped Samples for Deep Active Learning Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo

AAAI 2024 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

NeurIPS 2024 TPC: Test-Time Procrustes Calibration for Diffusion-Based Human Image Animation Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo

CVPRW 2024 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

ICLR 2023 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

ICLR 2023 On the Soft-Subnetwork for Few-Shot Class Incremental Learning Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo

ICCV 2023 SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo

ECCV 2022 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

CVPR 2022 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon

AAAI 2022 Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo

ICML 2022 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, Chang D. Yoo

ICLR 2022 How Does SimSiam Avoid Collapse Without Negative Samples? a Unified Understanding with Self-Supervised Contrastive Learning Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon

ECCV 2022 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

CVPR 2022 SoftGroup for 3D Instance Segmentation on Point Clouds Thang Vu, Kookhoi Kim, Tung M. Luu, Thanh Nguyen, Chang D. Yoo

AAAI 2021 SCNet: Training Inference Sample Consistency for Instance Segmentation Thang Vu, Haeyong Kang, Chang D. Yoo

AAAI 2021 Semantic Grouping Network for Video Captioning Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo

AAAI 2021 Structured Co-Reference Graph Attention for Video-Grounded Dialogue Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo

ECCV 2020 VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo

ECCVW 2018 Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo

ECCVW 2018 Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks Thang Vu, Tung Minh Luu, Chang D. Yoo

ECCV 2018 Pivot Correlational Neural Network for Multimodal Video Categorization Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim, Chang D. Yoo

ICCV 2015 Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture Dat Tien Ngo, Sanghyuk Park, Anne Jorstad, Alberto Crivellaro, Chang D. Yoo, Pascal Fua

CVPR 2015 Face Alignment Using Cascade Gaussian Process Regression Trees Donghoon Lee, Hyunsin Park, Chang D. Yoo

NeurIPS 2012 Phoneme Classification Using Constrained Variational Gaussian Process Dynamical System Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo

NeurIPS 2011 Higher-Order Correlation Clustering for Image Segmentation Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

CVPR 2011 Variable Grouping for Energy Minimization Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo