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2020 – today
- 2024
[j1]Seungeun Oh
, Hyelin Nam, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning. IEEE Trans. Big Data 10(3): 238-248 (2024)- [c6]Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye:
Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. CVPR 2024: 9192-9201 - [c5]Hyelin Nam, Jihong Park, Jinho Choi, Mehdi Bennis, Seong-Lyun Kim:
Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation. ICASSP 2024: 13506-13510 - [i7]Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye:
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR abs/2406.08070 (2024) - [i6]Seungeun Oh, Sihun Baek, Jihong Park, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix. CoRR abs/2408.01040 (2024) - 2023
- [c4]Hyelin Nam, Jihong Park, Seong-Lyun Kim:
Active Wireless Split Learning via Online Cloud-Local Server Delta-Knowledge Distillation. ICC Workshops 2023: 825-830 - [c3]Hyelin Nam, Jihong Park, Jinho Choi, Seong-Lyun Kim:
Sequential Semantic Generative Communication for Progressive Text-to-Image Generation. SECON 2023: 91-94 - [i5]Hyelin Nam, Jihong Park, Jinho Choi, Seong-Lyun Kim:
Sequential Semantic Generative Communication for Progressive Text-to-Image Generation. CoRR abs/2309.04287 (2023) - [i4]Hyelin Nam, Jihong Park, Jinho Choi, Mehdi Bennis, Seong-Lyun Kim:
Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation. CoRR abs/2309.11127 (2023) - [i3]Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye:
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing. CoRR abs/2311.18608 (2023) - 2022
- [i2]Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting. CoRR abs/2206.08585 (2022) - [i1]Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Differentially Private CutMix for Split Learning with Vision Transformer. CoRR abs/2210.15986 (2022) - 2021
- [c2]Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting. BMVC 2021: 219 - [c1]Hyelin Nam, Kyuwon Han, Jihoon Park, Han Cha, Seong-Lyun Kim:
A Spectrum Sharing System: Visualized Interference Classification and CNN Approach. DySPAN 2021: 33-40
Coauthor Index
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