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2020 – today
- 2024
[c28]Janghoon Cho, Sunghyun Park, Hyunsin Park, Hyoungwoo Park, Seunghan Yang, Sungrack Yun:
Balanced Learning for Multi-Domain Long-Tailed Speaker Recognition. ICASSP 2024: 7465-7469- [i15]Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun:
Feature Diversification and Adaptation for Federated Domain Generalization. CoRR abs/2407.08245 (2024) - [i14]Hyunsin Park, Sungrack Yun:
FedHide: Federated Learning by Hiding in the Neighbors. CoRR abs/2409.07808 (2024) - 2023
- [c27]Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim:
Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops 2023: 4901-4911 - [c26]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CVPR 2023: 10312-10322 - [c25]Juntae Lee, Mihir Jain, Sungrack Yun:
Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics. ICCV 2023: 10180-10189 - [c24]Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun:
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. ICCV 2023: 16375-16385 - [c23]Jun-Tae Lee, Sungrack Yun:
Multi-Scale Temporal Feature Fusion for Few-Shot Action Recognition. ICIP 2023: 1785-1789 - [i13]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CoRR abs/2304.00424 (2023) - [i12]Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun:
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. CoRR abs/2308.08810 (2023) - 2022
- [c22]Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang:
Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. AAAI 2022: 7354-7362 - [c21]Sungha Choi
, Seunghan Yang, Seokeon Choi, Sungrack Yun:
Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. ECCV (33) 2022: 440-458 - [c20]Debasmit Das, Sungrack Yun, Fatih Porikli:
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. ICLR 2022 - [c19]Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
Domain Agnostic Few-shot Learning for Speaker Verification. INTERSPEECH 2022: 595-599 - [c18]Jun-Tae Lee, Sungrack Yun, Mihir Jain:
Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization. WACV 2022: 817-826 - [i11]Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
Domain Agnostic Few-shot Learning for Speaker Verification. CoRR abs/2206.13700 (2022) - [i10]Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun:
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes. CoRR abs/2207.11707 (2022) - 2021
- [c17]Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang:
Subspectral Normalization for Neural Audio Data Processing. ICASSP 2021: 850-854 - [c16]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-Based Personalized Pruning. ICASSP 2021: 3925-3929 - [c15]Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli:
Efficient Action Recognition via Dynamic Knowledge Propagation. ICCV 2021: 13699-13708 - [c14]Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun:
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization. ICLR 2021 - [c13]Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. ICML 2021: 4328-4336 - [i9]Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang:
SubSpectral Normalization for Neural Audio Data Processing. CoRR abs/2103.13620 (2021) - [i8]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-based Personalized Pruning. CoRR abs/2103.15564 (2021) - [i7]Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. CoRR abs/2104.08776 (2021) - [i6]Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli:
Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR abs/2111.12265 (2021) - 2020
- [c12]Seungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim:
End-to-End Lane Marker Detection via Row-wise Classification. CVPR Workshops 2020: 4335-4343 - [i5]Seungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim:
End-to-End Lane Marker Detection via Row-wise Classification. CoRR abs/2005.08630 (2020) - [i4]Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Authentication Models. CoRR abs/2007.04618 (2020)
2010 – 2019
- 2019
- [c11]Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang:
Acoustic Scene Classification Based on a Large-margin Factorized CNN. DCASE 2019: 45-49 - [c10]Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang:
Weakly Labeled Sound Event Detection using Tri-training and Adversarial Learning. DCASE 2019: 184-188 - [c9]Sungrack Yun, Janghoon Cho, Jungyun Eum, Wonil Chang, Kyuwoong Hwang:
An End-to-End Text-Independent Speaker Verification Framework with a Keyword Adversarial Network. INTERSPEECH 2019: 2923-2927 - [i3]Sungrack Yun, Janghoon Cho, Jungyun Eum, Wonil Chang, Kyuwoong Hwang:
An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network. CoRR abs/1908.02612 (2019) - [i2]Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang:
Acoustic Scene Classification Based on a Large-margin Factorized CNN. CoRR abs/1910.06784 (2019) - [i1]Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang:
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning. CoRR abs/1910.06790 (2019) - 2017
- [c8]Sungrack Yun, Hye Jin Jang, Taesu Kim:
Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels. INTERSPEECH 2017: 2824-2828 - 2012
- [j3]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) - [c7]Jongmin Kim, Youngjoo Seo, Sanghyuk Park, Sungrack Yun, Chang D. Yoo:
Joint Kernel Learning for Supervised Image Segmentation. ACCV (1) 2012: 607-621 - [c6]Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo:
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System. NIPS 2012: 2015-2023 - 2011
- [j2]Sungwoong Kim, Sungrack Yun, Chang D. Yoo:
Large Margin Discriminative Semi-Markov Model for Phonetic Recognition. IEEE Trans. Speech Audio Process. 19(7): 1999-2012 (2011) - [c5]SeungRyul Baek, Chang D. Yoo, Sungrack Yun:
Learning a discriminative visual codebook using homonym scheme. ICASSP 2011: 2252-2255 - 2010
- [j1]Owen Thomas, Peter Sunehag, Gideon Dror, Sungrack Yun, Sungwoong Kim, Matthew W. Robards, Alexander J. Smola, Daniel Green, Philo Saunders:
Wearable sensor activity analysis using semi-Markov models with a grammar. Pervasive Mob. Comput. 6(3): 342-350 (2010) - [c4]Sungwoong Kim, Sungrack Yun, Chang Dong Yoo:
Largemargin training of semi-Markov model for phonetic recognition. ICASSP 2010: 1910-1913 - [c3]Younsung Park, Sungrack Yun, Chang Dong Yoo:
Parametric emotional singing voice synthesis. ICASSP 2010: 4814-4817
2000 – 2009
- 2009
- [c2]Sungrack Yun, Chang Dong Yoo:
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion model. ICASSP 2009: 4169-4172 - 2004
- [c1]Minho Jin, Gyucheol Jang, Sungrack Yun, Chang Dong Yoo:
Hybrid utterance verification based on n-best models and model derived from kulback-leibler divergence. INTERSPEECH 2004: 1529-1532
Coauthor Index
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