[U003] Exploring Diffusion Prior Knowledge for Decoupled Person Search Framework

Giyeol Kim*, Sooyoung Yang*, Jihyong Oh, Myungjoo Kang, and Chanho Eom (*equal contribution)

[U002] GOAL: Global-local Object Alignment Learning

Hyungyu Choi, Young Kyun Jang, and Chanho Eom

[U001] Subnet-Aware Dynamic Supernet Training for Neural Architecture Search 

Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, and Bumsub Ham

[J003] Cerberus: Attribute-based Person Re-identification Using Semantic IDs 

Chanho Eom, Geon Lee, Kyunghwan Cho, Hyeonseok Jung, Moonsub Jin, and Bumsub Ham

Expert Systems with Applications (ESWA) vol. 259, no. 1, pp. 125320-125333, Jan. 01, 2025 (ISSN: 0957-4174)

• SCI Top 7%, Impact Factor = 7.5

[Paper] [arXiv]

[J002] Disentangled Representations for Short-Term and Long-Term Re-Identification 

Chanho Eom, Wonkyung Lee, Geon Lee, and Bumsub Ham

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) vol. 44, no. 12, pp. 8975-8991, Dec. 01, 2022 (ISSN: 0162-8828)

• SCI Top 1%, Impact Factor = 24.314

[Paper] [arXiv] [Project page]

[C003] Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation 

Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, and Bumsub Ham

European Conference on Computer Vision (ECCV), Oct. 25, 2022

• CV Top-tier Conference, h5-index = 186

[Paper] [arXiv] [Project page] [Code]

[C002] Video-based Person Re-identification with Spatial and Temporal Memory Networks 

Chanho Eom, Geon Lee, Junghyup Lee, and Bumsub Ham

IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 13, 2021

• CV Top-tier Conference, h5-index = 184

[Paper] [arXiv] [Project page] [Code] [Video]

[J001] Temporally Consistent Depth Prediction with Flow-Guided Memory Units 

Chanho Eom, Hyunjong Park, and Bumsub Ham

IEEE Transactions Intelligent Transportation Systems (TITS) vol. 21, no. 11, pp. 4626-4636, Nov. 01, 2020 (ISSN: 1524-9050)

• SCI Top 3%, Impact Factor = 6.492

[Paper] [arXiv] [Project page] [Code] [Demo]

[C001] Learning Disentangled Representation for Robust Person Re-identification 

Chanho Eom and Bumsub Ham

Neural Information Processing Systems (NeurIPS), Dec. 12, 2019

• 🏆 NeurIPS Travel Award

• AI Top-tier Conference, h5-index = 198

[Paper] [arXiv] [Project page] [Code] [NAVER AI Tech Talk]

Enhancing Motion Fluidity and Visual Consistency in Film Production with AI Generative Models 

Hyunseo Lee, Changhyun Roh, Jihyong Oh, and Chanho Eom

Moving Image and Technology (MINT), Apr. 30, 2025 (ISSN: 2799-8177)

Detailed Caption Processing in Vision-Language 

Hyungyu Choi and Chanho Eom

Journal of Arts and Imaging Science (TechArt), Jan. 31, 2025

State of the Art on Demoiréing Models 

Jeahun Sung, Chanho Eom, and Jihyong Oh

Journal of Arts and Imaging Science (TechArt), Jan. 31, 2025

Subjective Evaluation on Generative Models for Mosaic Media Art 

Dahyeon Kye, Jeahun Sung, Chanho Eom, and Jihyong Oh

Moving Image and Technology (MINT), vol. 4, no. 3, pp.21-28, Nov. 30, 2024 (ISSN: 2799-8177)

Domain Adaptive Semantic Image Segmentation Using Pixel-Prototype Contrastive Learning

(픽셀-프로토타입 대조 학습을 이용한 도메인 적응형 시멘틱 영상 분할)

Geon Lee, Chanho Eom, Hyekang Park, and Bumsub Ham

Workshop on Image Processing and Image Understanding (IPIU), Feb. 09, 2022

Spatiotemporal Memory Network for Video-based Person Re-Identification

(시공간 메모리 네트워크를 이용한 동영상 기반 사람 재식별)

Chanho Eom, Geon Lee, Junghyup Lee and Bumsub Ham

IEIE Conference on AI Signal Processing, Sep. 30, 2021

• 🏆 Excellence Paper Award