Dahuin Jung - RankMe

48 papers A* 13B 1Misc 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Balancing Saliency and Coverage: Semantic Prominence-Aware Budgeting for Visual Token Compression in VLMs. CoRR Jaehoon Lee, Mingi Jung, Soohyuk Jang, Seungryong Yoo, Dahuin Jung, Sungroh Yoon
2026	J	`jnl`	LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models. CoRR Chanyoung Kim, Minwoo Kim, Minseok Kang, Hyunwoo Kim, Dahuin Jung
2026	J	`jnl`	Leveraging dynamic feature fusion of self & cross-attention for robust multimodal emotion recognition. ICT Express Jian Kim, Hyunoh Kang, Haneul Pyeon, Dahuin Jung
2025	J	`jnl`	Diffusion-Stego: Training-free diffusion generative steganography via message projection. Inf. Sci. Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
2025	A*	`conf`	Disentangled Motion Modeling for Video Frame Interpolation. AAAI Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
2025	J	`jnl`	EntUn: Mitigating the forget-retain dilemma in unlearning via entropy. ICT Express Dahuin Jung
2025	J	`jnl`	Harnessing consistency for improved test-time adaptation. Image Vis. Comput. Dahuin Jung
2025	J	`jnl`	Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP. CoRR Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon
2024	J	`jnl`	Disentangled Motion Modeling for Video Frame Interpolation. CoRR Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
2024	—	`conf`	Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. ECCV (52) Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
2024	A*	`conf`	Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR Jihun Yi, Dahuin Jung, Sungroh Yoon
2024	J	`jnl`	Sample-efficient Adversarial Imitation Learning. J. Mach. Learn. Res. Dahuin Jung, Hyungyu Lee, Sungroh Yoon
2024	J	`jnl`	Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2024	A*	`conf`	Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection. NeurIPS Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2023	A*	`conf`	CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
2023	J	`jnl`	Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
2023	A*	`conf`	Generating Instance-level Prompts for Rehearsal-free Continual Learning. ICCV Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song
2023	A*	`conf`	Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
2023	J	`jnl`	Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
2023	A*	`conf`	New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. ICLR Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023	J	`jnl`	New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023	A*	`conf`	On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2023	J	`jnl`	On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2023	A*	`conf`	PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. NeurIPS Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023	J	`jnl`	PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. CoRR Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023	J	`jnl`	PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
2023	A*	`conf`	Probabilistic Concept Bottleneck Models. ICML Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
2023	J	`jnl`	Probabilistic Concept Bottleneck Models. CoRR Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
2023	J	`jnl`	Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
2023	J	`jnl`	Sample-efficient Adversarial Imitation Learning. CoRR Dahuin Jung, Hyungyu Lee, Sungroh Yoon
2022	A*	`conf`	Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
2022	J	`jnl`	Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
2022	B	`conf`	FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
2022	J	`jnl`	FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
2022	J	`jnl`	Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. IEEE Trans. Neural Networks Learn. Syst. Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon
2022	A*	`conf`	Stein Latent Optimization for Generative Adversarial Networks. ICLR Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2021	J	`jnl`	Stein Latent Optimization for GANs. CoRR Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2020	Misc	`conf`	AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon
2020	—	`conf`	iCaps: An Interpretable Classifier via Disentangled Capsule Networks. ECCV (19) Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
2020	J	`jnl`	iCaps: An Interpretable Classifier via Disentangled Capsule Networks. CoRR Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
2019	J	`jnl`	AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR Ho Bae, Dahuin Jung, Sungroh Yoon
2019	A*	`conf`	HexaGAN: Generative Adversarial Nets for Real World Classification. ICML Uiwon Hwang, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR Uiwon Hwang, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
2018	J	`jnl`	Security and Privacy Issues in Deep Learning. CoRR Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon