Jae-Hyeok Lee - RankMe

16 papers A* 2B 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Adaptive Cross-Attention Gated Network for Radar-Camera Fusion in BEV Space. ICACT Ji-Yong Lee, Jae-Hyeok Lee, Dong-oh Kang
2025	A*	`conf`	Focus Where It Matters: LLM-Guided Regional Identification for Instruction-based Image Editing. ACM Multimedia Minho Park, Youngjoo Jo, Jae-Hyeok Lee, JiYong Lee, Dong-oh Kang, Yong Man Ro
2025	J	`jnl`	Generality-aware self-supervised transformer for multivariate time series anomaly detection. Appl. Intell. Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim
2024	J	`jnl`	Difficulty level-based knowledge distillation. Neurocomputing Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim
2023	J	`jnl`	Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. Pattern Recognit. Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim
2023	J	`jnl`	Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. CoRR Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim
2023	A*	`conf`	ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. ICCV Jae-Hyeok Lee, Dae-Shik Kim
2022	J	`jnl`	A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. Adv. Intell. Syst. Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi
2022	J	`jnl`	P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning. IEEE Access Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim
2020	J	`jnl`	MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network. IEEE Trans. Geosci. Remote. Sens. Jae-Hyeok Lee, Sangmin S. Lee, Hak Gu Kim, Sa-Kwang Song, Seongchan Kim, Yong Man Ro
2019	B	`conf`	Probenet: Probing Deep Networks. ICIP Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro
2019	—	`conf`	Realistic Breast Mass Generation Through BIRADS Category. MICCAI (6) Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
2019	—	`conf`	Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis. Computer-Aided Diagnosis Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
2018	—	`conf`	Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. ECCV Workshops (6) Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2018	J	`jnl`	Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. CoRR Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2018	J	`jnl`	OPT: optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays. Multim. Tools Appl. Jeong-Chan Jin, Jae-Hyeok Lee, Eun-Sil Kim, Young-Jin Kim