Sungrack Yun - RankMe

59 papers A* 10A 5B 1Misc 7Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping. CoRR Sunghyun Park, Jeongho Kim, Hyoungwoo Park, Debasmit Das, Sungrack Yun, Munawar Hayat, Jaegul Choo, Fatih Porikli, Seokeon Choi
2025	J	`jnl`	Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation. CoRR Shubhankar Borse, Phuc Pham, Farzad Farhadzadeh, Seokeon Choi, Phong Ha Nguyen, Anh Tuan Tran, Sungrack Yun, Munawar Hayat, Fatih Porikli
2025	J	`jnl`	ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints. CoRR Debasmit Das, Hyoungwoo Park, Munawar Hayat, Seokeon Choi, Sungrack Yun, Fatih Porikli
2025	J	`jnl`	From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation. CoRR Jeongho Kim, Sunghyun Park, Hyoungwoo Park, Sungrack Yun, Jaegul Choo, Seokeon Choi
2025	J	`jnl`	Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies. CoRR Seokeon Choi, Sunghyun Park, Hyoungwoo Park, Jeongho Kim, Sungrack Yun
2025	J	`jnl`	MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans. CoRR Shubhankar Borse, Seokeon Choi, Sunghyun Park, Jeongho Kim, Shreya Kadambi, Risheek Garrepalli, Sungrack Yun, Munawar Hayat, Fatih Porikli
2025	J	`jnl`	Steering Guidance for Personalized Text-to-Image Diffusion Models. CoRR Sunghyun Park, Seokeon Choi, Hyoungwoo Park, Sungrack Yun
2025	A*	`conf`	Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning. CVPR Juntae Lee, Munawar Hayat, Sungrack Yun
2025	J	`jnl`	Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning. CoRR Juntae Lee, Munawar Hayat, Sungrack Yun
2024	Misc	`conf`	Balanced Learning for Multi-Domain Long-Tailed Speaker Recognition. ICASSP Janghoon Cho, Sunghyun Park, Hyunsin Park, Hyoungwoo Park, Seunghan Yang, Sungrack Yun
2024	—	`conf`	Feature Diversification and Adaptation for Federated Domain Generalization. ECCV (72) Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun
2024	J	`jnl`	Feature Diversification and Adaptation for Federated Domain Generalization. CoRR Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun
2024	—	`conf`	FedHide: Federated Learning by Hiding in the Neighbors. ECCV (70) Hyunsin Park, Sungrack Yun
2024	J	`jnl`	FedHide: Federated Learning by Hiding in the Neighbors. CoRR Hyunsin Park, Sungrack Yun
2024	A*	`conf`	Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. NeurIPS Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
2024	J	`jnl`	Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. CoRR Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
2023	A*	`conf`	Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics. ICCV Juntae Lee, Mihir Jain, Sungrack Yun
2023	A*	`conf`	Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. ICCV Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun
2023	J	`jnl`	Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. CoRR Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun
2023	B	`conf`	Multi-Scale Temporal Feature Fusion for Few-Shot Action Recognition. ICIP Jun-Tae Lee, Sungrack Yun
2023	—	`conf`	Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim
2023	A*	`conf`	Progressive Random Convolutions for Single Domain Generalization. CVPR Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
2023	J	`jnl`	Progressive Random Convolutions for Single Domain Generalization. CoRR Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
2022	A*	`conf`	ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. ICLR Debasmit Das, Sungrack Yun, Fatih Porikli
2022	A	`conf`	Domain Agnostic Few-shot Learning for Speaker Verification. INTERSPEECH Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun
2022	J	`jnl`	Domain Agnostic Few-shot Learning for Speaker Verification. CoRR Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun
2022	—	`conf`	Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. ECCV (33) Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
2022	J	`jnl`	Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes. CoRR Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
2022	A	`conf`	Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization. WACV Jun-Tae Lee, Sungrack Yun, Mihir Jain
2022	A*	`conf`	Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. AAAI Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang
2021	A*	`conf`	Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization. ICLR Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun
2021	J	`jnl`	Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli
2021	A*	`conf`	Efficient Action Recognition via Dynamic Knowledge Propagation. ICCV Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli
2021	A*	`conf`	Federated Learning of User Verification Models Without Sharing Embeddings. ICML Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
2021	J	`jnl`	Federated Learning of User Verification Models Without Sharing Embeddings. CoRR Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
2021	Misc	`conf`	Prototype-Based Personalized Pruning. ICASSP Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
2021	J	`jnl`	Prototype-based Personalized Pruning. CoRR Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
2021	J	`jnl`	SubSpectral Normalization for Neural Audio Data Processing. CoRR Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang
2021	Misc	`conf`	Subspectral Normalization for Neural Audio Data Processing. ICASSP Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang
2020	—	`conf`	End-to-End Lane Marker Detection via Row-wise Classification. CVPR Workshops Seungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim
2020	J	`jnl`	End-to-End Lane Marker Detection via Row-wise Classification. CoRR Seungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim
2020	J	`jnl`	Federated Learning of User Authentication Models. CoRR Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling
2019	—	`conf`	Acoustic Scene Classification Based on a Large-margin Factorized CNN. DCASE Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang
2019	J	`jnl`	Acoustic Scene Classification Based on a Large-margin Factorized CNN. CoRR Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang
2019	A	`conf`	An End-to-End Text-Independent Speaker Verification Framework with a Keyword Adversarial Network. INTERSPEECH Sungrack Yun, Janghoon Cho, Jungyun Eum, Wonil Chang, Kyuwoong Hwang
2019	J	`jnl`	An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network. CoRR Sungrack Yun, Janghoon Cho, Jungyun Eum, Wonil Chang, Kyuwoong Hwang
2019	J	`jnl`	Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning. CoRR Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang
2019	—	`conf`	Weakly Labeled Sound Event Detection using Tri-training and Adversarial Learning. DCASE Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang
2017	A	`conf`	Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels. INTERSPEECH Sungrack Yun, Hye Jin Jang, Taesu Kim
2012	—	`conf`	Joint Kernel Learning for Supervised Image Segmentation. ACCV (1) Jongmin Kim, Youngjoo Seo, Sanghyuk Park, Sungrack Yun, Chang D. Yoo
2012	J	`jnl`	Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification. IEEE Trans. Speech Audio Process. Sungrack Yun, Chang D. Yoo
2012	—	`conf`	Phoneme Classification using Constrained Variational Gaussian Process Dynamical System. NIPS Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo
2011	J	`jnl`	Large Margin Discriminative Semi-Markov Model for Phonetic Recognition. IEEE Trans. Speech Audio Process. Sungwoong Kim, Sungrack Yun, Chang D. Yoo
2011	Misc	`conf`	Learning a discriminative visual codebook using homonym scheme. ICASSP Seungryul Baek, Chang D. Yoo, Sungrack Yun
2010	Misc	`conf`	Largemargin training of semi-Markov model for phonetic recognition. ICASSP Sungwoong Kim, Sungrack Yun, Chang Dong Yoo
2010	Misc	`conf`	Parametric emotional singing voice synthesis. ICASSP Younsung Park, Sungrack Yun, Chang Dong Yoo
2010	J	`jnl`	Wearable sensor activity analysis using semi-Markov models with a grammar. Pervasive Mob. Comput. Owen Thomas, Peter Sunehag, Gideon Dror, Sungrack Yun, Sungwoong Kim, Matthew W. Robards, Alexander J. Smola, Daniel Green, Philo Saunders
2009	Misc	`conf`	Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion model. ICASSP Sungrack Yun, Chang Dong Yoo
2004	A	`conf`	Hybrid utterance verification based on n-best models and model derived from kulback-leibler divergence. INTERSPEECH Minho Jin, Gyucheol Jang, Sungrack Yun, Chang Dong Yoo