Sungrack Yun

According to our database, Sungrack Yun authored at least 36 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Balanced Learning for Multi-Domain Long-Tailed Speaker Recognition.

Janghoon Cho, Sunghyun Park, Hyunsin Park, Hyoungwoo Park, Seunghan Yang, Sungrack Yun

Proceedings of the IEEE International Conference on Acoustics, 2024

Feature Diversification and Adaptation for Federated Domain Generalization.

Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun

Proceedings of the Computer Vision - ECCV 2024, 2024

FedHide: Federated Learning by Hiding in the Neighbors.

Hyunsin Park, Sungrack Yun

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Multi-Scale Temporal Feature Fusion for Few-Shot Action Recognition.

Jun-Tae Lee, Sungrack Yun

Proceedings of the IEEE International Conference on Image Processing, 2023

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts.

Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics.

Juntae Lee, Mihir Jain, Sungrack Yun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Transformation Network to Generate Diverse Views for Contrastive Learning.

Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Progressive Random Convolutions for Single Domain Generalization.

Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization.

Jun-Tae Lee, Sungrack Yun, Mihir Jain

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Domain Agnostic Few-shot Learning for Speaker Verification.

Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning.

Debasmit Das, Sungrack Yun, Fatih Porikli

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes.

Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks.

Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distribution Estimation to Automate Transformation Policies for Self-Supervision.

Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli

CoRR, 2021

Federated Learning of User Verification Models Without Sharing Embeddings.

Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling

Proceedings of the 38th International Conference on Machine Learning, 2021

Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization.

Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun

Proceedings of the 9th International Conference on Learning Representations, 2021

Efficient Action Recognition via Dynamic Knowledge Propagation.

Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prototype-Based Personalized Pruning.

Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak

Proceedings of the IEEE International Conference on Acoustics, 2021

Subspectral Normalization for Neural Audio Data Processing.

Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Federated Learning of User Authentication Models.

Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling

CoRR, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Weakly Labeled Sound Event Detection using Tri-training and Adversarial Learning.

Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Acoustic Scene Classification Based on a Large-margin Factorized CNN.

Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2017

Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels.

Sungrack Yun, Hye Jin Jang, Taesu Kim

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2012

Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification.

Sungrack Yun, Chang D. Yoo

IEEE Trans. Speech Audio Process., 2012

Phoneme Classification using Constrained Variational Gaussian Process Dynamical System.

Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Joint Kernel Learning for Supervised Image Segmentation.

Jongmin Kim, Youngjoo Seo, Sanghyuk Park, Sungrack Yun, Chang D. Yoo

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Large Margin Discriminative Semi-Markov Model for Phonetic Recognition.

Sungwoong Kim, Sungrack Yun, Chang D. Yoo

IEEE Trans. Speech Audio Process., 2011

Learning a discriminative visual codebook using homonym scheme.

SeungRyul Baek, Chang D. Yoo, Sungrack Yun

Proceedings of the IEEE International Conference on Acoustics, 2011

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

Parametric emotional singing voice synthesis.

Younsung Park, Sungrack Yun, Chang Dong Yoo

Proceedings of the IEEE International Conference on Acoustics, 2010

Largemargin training of semi-Markov model for phonetic recognition.

Sungwoong Kim, Sungrack Yun, Chang Dong Yoo

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

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

Proceedings of the IEEE International Conference on Acoustics, 2009

2004

Hybrid utterance verification based on n-best models and model derived from kulback-leibler divergence.

Minho Jin, Gyucheol Jang, Sungrack Yun, Chang Dong Yoo

Proceedings of the 8th International Conference on Spoken Language Processing, 2004