Scholar

Jisu Shin

Google Scholar ID: lJuBuBgAAAAJ

GIST AI Graduate School

Computer Vision

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Publications

1 items

2026

Cited

Resume (English only)

Academic Achievements

Publications:
1. CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction (Under Review)
2. Video Color Grading via Look-Up Table Generation (ICCV 2025)
3. The path-tracing simulation of light-field camera system: SurfCam/GrainCams for lunar surface exploration (Advances in Space Research, 2024)
4. CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images (ECCV 2024)
5. Close Imitation of Expert Retouching for Black-and-White Photography (CVPR 2024)
6. Scene Structure Guidance Network: Unfolding Graph Partitioning into Pixel-Wise Feature Learning (Technical Report)
7. Task-specific Scene Structure Representations (AAAI 2023)
Patents:
1. METHOD FOR CREATING BLACK-AND-WHITE PHOTO THAT IMITATES EXPERT RETOUCHING STYLES (US Patent App. 18/508.456, Nov 2023)
2. METHOD FOR CREATING BLACK-AND-WHITE PHOTO THAT IMITATES EXPERT RETOUCHING STYLES (Korea Patent App. 10-2023-0030667, Mar 2023)

Research Experience

1. Research Intern, Dec. 2024 - Sep. 2025, 3D Vision Team, Huawei Noah's Ark Lab, United Kingdom, Project: 3D Scene Reconstruction using Gaussian Splatting on Appearance Varying Environment.
2. Research Intern, Jun. 2023 - March. 2024, KETI (Korea Electronics Technology Institute), Gyeonggi-do, South Korea, Project: Drivable 3D Human Generation.
3. Research Intern, Jun. 2019 - Aug. 2019, ETRI (Electronics and Telecommunications Research Institute), Daejeon, South Korea, Project: Edge Computing & Computer Network.

Education

1. PhD of AI Graduate School, 2021 - Present, Gwangju Institute of Science and Technology, Advisor: Prof. Hae-Gon Jeon
2. Bachelor of Electrical Engineering and Computer Science, 2017 - 2021, Gwangju Institute of Science and Technology, Advisor: Prof. Hae-Gon Jeon

Background

Research Interests: 3D Vision (specifically scene and human reconstruction), Computer Vision (aesthetic image enhancement, low-level vision, diffusion model), Machine Learning (deep learning, large language model, optimization). Brief: Currently a Ph.D. Candidate at AI Graduate School, GIST, working at a lab located at Yonsei University, South Korea.

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