Intra- and Inter-epoch Temporal Context Network (IITNet) for Automatic Sleep Stage Scoring. - Seunghyeok Back; Seongju Lee; Hogeon Seo; Deokhwan Park; Tae Kim; Kyoobin Lee (CoRR, 2019)

Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG. - Hogeon Seo; Seunghyeok Back; Seongju Lee; Deokhwan Park; Tae Kim; Kyoobin Lee (Biomed. Signal Process. Control., 2020)

Spectral and energy efficient power allocation for MIMO broadcast channels with individual delay and QoS constraints. - Jae-Hong Kwon; Jungil Cho; Byunggil Yu; Seongju Lee; Inha Jung; Chanho Hwang; Young-Chai Ko (J. Commun. Networks, 2020)

Legion: Tailoring Grouped Neural Execution Considering Heterogeneity on Multiple Edge Devices. - Kyunghwan Choi; Seongju Lee; Beom Woo Kang; Yongjun Park 001 (ICCD, 2021)

Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. - Seunghyeok Back; Seongju Lee; Sungho Shin; Yeonguk Yu; Taekyeong Yuk; Saepomi Jong; Seungjun Ryu; Kyoobin Lee (IEEE Access, 2021)

Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN. - Joosoon Lee; Seongju Lee; Seunghyeok Back; Sungho Shin; Kyoobin Lee (CoRR, 2021)

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection. - Yeonguk Yu; Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (CVPR, 2023)

Memory-Centric Computing with SK Hynix's Domain-Specific Memory. - Yongkee Kwon; Guhyun Kim; Nahsung Kim; Woojae Shin; Jongsoon Won; Hyunha Joo; Haerang Choi; Byeongju An; Gyeongcheol Shin; Dayeon Yun; Jeongbin Kim 001; Changhyun Kim; et al. (HCS, 2023)

Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms. - Beom Woo Kang; Junho Wohn; Seongju Lee; Sunghyun Park 004; Yung-Kyun Noh; Yongjun Park 001 (LCTES, 2023)

SIW-Fed Patch Array Filtenna With Significant Suppression of Adjacent 5G Spectrum for Radio Altimeters. - Junmo Choi; Jaewoo Kim; Younggun Ji; Seongju Lee; Jungran Lee; Byunggil Yu; Seulgi Park; Myungho Kim; Kyung-Young Jung (IEEE Access, 2023)

A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application. - Dae-Han Kwon; Seongju Lee; Kyuyoung Kim; Sanghoon Oh; Joonhong Park; Gimoon Hong; Dongyoon Ka; Kyu-Dong Hwang; Jeongje Park; Kyeong Pil Kang; Jungyeon Kim; Junyeol Jeon; et al. (IEEE J. Solid State Circuits, 2023)

BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game. - Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (Sensors, 2023)

MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction. - Seongju Lee; Junseok Lee 003; Yeonguk Yu; Taeri Kim; Kyoobin Lee (ECCV (66), 2024)

Buoy Light Detection and Pattern Classification for Unmanned Surface Vehicle Navigation. - Junseok Lee 003; Taeri Kim; Seongju Lee; Jumi Park; Kyoobin Lee (UR, 2024)

SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning. - Seongju Lee; Yeonguk Yu; Seunghyeok Back; Hogeon Seo; Kyoobin Lee (Expert Syst. Appl., 2024)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (WACV (Workshops), 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (CoRR, 2025)