Hybrid utterance verification based on n-best models and model derived from kulback-leibler divergence. - Minho Jin; Gyucheol Jang; Sungrack Yun; Chang Dong Yoo (INTERSPEECH, 2004)

Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion model. - Sungrack Yun; Chang Dong Yoo (ICASSP, 2009)

Largemargin training of semi-Markov model for phonetic recognition. - Sungwoong Kim; Sungrack Yun; Chang Dong Yoo (ICASSP, 2010)

Parametric emotional singing voice synthesis. - Younsung Park; Sungrack Yun; Chang Dong Yoo (ICASSP, 2010)

Wearable sensor activity analysis using semi-Markov models with a grammar. - Owen Thomas; Peter Sunehag; Gideon Dror; Sungrack Yun; Sungwoong Kim; Matthew W. Robards; Alexander J. Smola; Daniel Green; Philo Saunders (Pervasive Mob. Comput., 2010)

Learning a discriminative visual codebook using homonym scheme. - SeungRyul Baek; Chang D. Yoo; Sungrack Yun (ICASSP, 2011)

Large Margin Discriminative Semi-Markov Model for Phonetic Recognition. - Sungwoong Kim; Sungrack Yun; Chang D. Yoo (IEEE Trans. Speech Audio Process., 2011)

Joint Kernel Learning for Supervised Image Segmentation. - Jongmin Kim 006; Youngjoo Seo; Sanghyuk Park; Sungrack Yun; Chang D. Yoo (ACCV (1), 2012)

Phoneme Classification using Constrained Variational Gaussian Process Dynamical System. - Hyunsin Park; Sungrack Yun; Sanghyuk Park; Jongmin Kim 006; Chang D. Yoo (NIPS, 2012)

Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification. - Sungrack Yun; Chang D. Yoo (IEEE Trans. Speech Audio Process., 2012)

Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels. - Sungrack Yun; Hye Jin Jang; Taesu Kim (INTERSPEECH, 2017)

Acoustic Scene Classification Based on a Large-margin Factorized CNN. - Janghoon Cho; Sungrack Yun; Hyoungwoo Park; Jungyun Eum; Kyuwoong Hwang (DCASE, 2019)

Weakly Labeled Sound Event Detection using Tri-training and Adversarial Learning. - Hyoungwoo Park; Sungrack Yun; Jungyun Eum; Janghoon Cho; Kyuwoong Hwang (DCASE, 2019)

An End-to-End Text-Independent Speaker Verification Framework with a Keyword Adversarial Network. - Sungrack Yun; Janghoon Cho; Jungyun Eum; Wonil Chang; Kyuwoong Hwang (INTERSPEECH, 2019)

End-to-End Lane Marker Detection via Row-wise Classification. - Seungwoo Yoo; Heeseok Lee; Heesoo Myeong; Sungrack Yun; Hyoungwoo Park; Janghoon Cho; Duck Hoon Kim (CVPR Workshops, 2020)

Federated Learning of User Authentication Models. - Hossein Hosseini; Sungrack Yun; Hyunsin Park; Christos Louizos; Joseph Soriaga; Max Welling (CoRR, 2020)

Subspectral Normalization for Neural Audio Data Processing. - Simyung Chang; Hyoungwoo Park; Janghoon Cho; Hyunsin Park; Sungrack Yun; Kyuwoong Hwang (ICASSP, 2021)

Prototype-Based Personalized Pruning. - Jangho Kim; Simyung Chang; Sungrack Yun; Nojun Kwak (ICASSP, 2021)

Efficient Action Recognition via Dynamic Knowledge Propagation. - Hanul Kim 001; Mihir Jain; Jun-Tae Lee; Sungrack Yun; Fatih Porikli (ICCV, 2021)

Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization. - Jun-Tae Lee; Mihir Jain; Hyoungwoo Park; Sungrack Yun (ICLR, 2021)

Federated Learning of User Verification Models Without Sharing Embeddings. - Hossein Hosseini; Hyunsin Park; Sungrack Yun; Christos Louizos; Joseph Soriaga; Max Welling (ICML, 2021)

Distribution Estimation to Automate Transformation Policies for Self-Supervision. - Seunghan Yang; Debasmit Das; Simyung Chang; Sungrack Yun; Fatih Porikli (CoRR, 2021)

Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. - Jun-Tae Lee; Hyunsin Park; Sungrack Yun; Simyung Chang (AAAI, 2022)

Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. - Sungha Choi; Seunghan Yang; Seokeon Choi; Sungrack Yun (ECCV (33), 2022)

ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. - Debasmit Das; Sungrack Yun; Fatih Porikli (ICLR, 2022)

Domain Agnostic Few-shot Learning for Speaker Verification. - Seunghan Yang; Debasmit Das; Janghoon Cho; Hyoungwoo Park; Sungrack Yun (INTERSPEECH, 2022)

Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization. - Jun-Tae Lee; Sungrack Yun; Mihir Jain (WACV, 2022)

Progressive Random Convolutions for Single Domain Generalization. - Seokeon Choi; Debasmit Das; Sungha Choi; Seunghan Yang; Hyunsin Park; Sungrack Yun (CVPR, 2023)

Neural Transformation Network to Generate Diverse Views for Contrastive Learning. - Taekyung Kim 002; Debasmit Das; Seokeon Choi; Minki Jeong; Seunghan Yang; Sungrack Yun; Changick Kim (CVPR Workshops, 2023)

Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics. - Juntae Lee; Mihir Jain; Sungrack Yun (ICCV, 2023)

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. - Sunghyun Park 005; Seunghan Yang; Jaegul Choo; Sungrack Yun (ICCV, 2023)

Multi-Scale Temporal Feature Fusion for Few-Shot Action Recognition. - Jun-Tae Lee; Sungrack Yun (ICIP, 2023)

FedHide: Federated Learning by Hiding in the Neighbors. - Hyunsin Park; Sungrack Yun (ECCV (70), 2024)

Feature Diversification and Adaptation for Federated Domain Generalization. - Seunghan Yang; Seokeon Choi; Hyunsin Park; Sungha Choi; Simyung Chang; Sungrack Yun (ECCV (72), 2024)

Balanced Learning for Multi-Domain Long-Tailed Speaker Recognition. - Janghoon Cho; Sunghyun Park; Hyunsin Park; Hyoungwoo Park; Seunghan Yang; Sungrack Yun (ICASSP, 2024)

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. - Wonguk Cho; Seokeon Choi; Debasmit Das; Matthias Reisser; Taesup Kim; Sungrack Yun; Fatih Porikli (NeurIPS, 2024)

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning. - Juntae Lee; Munawar Hayat; Sungrack Yun (CVPR, 2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans. - Shubhankar Borse; Seokeon Choi; Sunghyun Park 005; Jeongho Kim 007; Shreya Kadambi; Risheek Garrepalli; Sungrack Yun; Munawar Hayat; Fatih Porikli (CoRR, 2025)

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints. - Debasmit Das; Hyoungwoo Park; Munawar Hayat; Seokeon Choi; Sungrack Yun; Fatih Porikli (CoRR, 2025)

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies. - Seokeon Choi; Sunghyun Park; Hyoungwoo Park; Jeongho Kim; Sungrack Yun (CoRR, 2025)

From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation. - Jeongho Kim 007; Sunghyun Park 005; Hyoungwoo Park; Sungrack Yun; Jaegul Choo; Seokeon Choi (CoRR, 2025)