News
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“Empowering Transformers Spectrally: Towards Comprehensive Pattern Learning for Image Demoiréing” was accepted to ICASSP 2026 (Barcelona, Spain).
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“StoneGAT: A Robust Fall Detection Framework via Skeleton-aware Graph Attention Networks” was accepted to the International Journal of Control, Automation, and Systems (IJCAS).
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A new project, “A Study on Vision-Language-based Multi-Object Tracking,” began, supported by the Sungkonghoe University Research Grant 2025.
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“StoneGAT: Skeleton-aware Graph Attention Networks for Robust Fall Detection from Single-frame Poses” was accepted to ICCAS 2025 (Incheon, Korea).
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“Feature Refinement with Vision State Space Modules for Tiny Object Detection” was accepted to the Journal of Institute of Control, Robotics and Systems (ICROS).
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“DeepCampus: A Campus Tour Mobile Application Using Deep Learning-Based Vision Technologies” was accepted to the Transactions of the Korean Institute of Electrical Engineers (KIEE).
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“Making MambaVision Temporal: Leveraging TSM for Efficient Video Understanding” was accepted to ICEIC 2025 (Osaka, Japan).
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A new project, “Making Action Detection Practical: Leveraging 2D CNNs for Real-Time and Online Applications,” began, supported by the Sungkonghoe University Research Grant 2024.
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A new project on real-time video-AI monitoring of hazardous situations for industrial workers began, supported by the Ministry of SMEs and Startups / TIPA (Korea).
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“Making TSM Better: Preserving Foundational Philosophy for Efficient Action Recognition” was accepted to ICT Express.
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A new project, “Development of Core Technology for Preventing Identity Theft,” began, supported by SECUCHART GLOBAL Co., Ltd.
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“D-TSM: Discriminative Temporal Shift Module for Action Recognition” was accepted to UR 2023 (Hawaii, USA).
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“Extended Siamese Convolutional Neural Networks for Discriminative Feature Learning” was accepted to the International Journal of Fuzzy Logic and Intelligent Systems (IJFIS).
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A new project, “A Context-aware Multiple Object Tracking with Temporal Shifted Transformer,” began, supported by the Sungkonghoe University Research Grant 2022.
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A new project on AI integration technology for comprehensive context-aware multiple object tracking began, supported by the Ministry of Science and ICT / NRF.