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Author

Sang-Jun Lee

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Preprint Oct 2026

Adaptive Visual Token Reduction for Accelerated Image Understanding

Large Vision-Language Models achieve strong VQA performance, but processing high-resolution, information-rich images requires substantial computation, motivating visual token reduction. However, existing methods often prune individual tokens or rely on fixed-size cropping, limiting their ability to preserve spatially s...

Seyoung Jeong, J. Yun, Sang-Jun Lee · 0 citations
Open access Sep 2026

PulsePath: Two-Stage Generative Waveform Refinement for Robust Remote Photoplethysmography Estimation

Remote photoplethysmography (rPPG) estimates pulse signals from facial videos, but motion, illumination variation, exposure control, and compression can distort the waveform used for heart-rate (HR) estimation. The Plane-Orthogonal-to-Skin (POS) waveform provides an observed physiological source that often preserves re...

Juha Park, Seungmin Oh, Sang-Jun Lee · 0 citations
Open access Aug 2026

Deep learning-based segmentation of the maxillary sinus on panoramic radiographs using MedSAM and DeepLabv3+

Panoramic radiographs are used in dental practice because of low radiation dose, patient comfort, and rapid acquisition. However, segmentation of the maxillary sinus remains difficult because of superimposed anatomical structures. We evaluated the performances of MedSAM and DeepLabv3+, two advanced segmentation m...

Yong-chan Park, Sang-Jun Lee, H. Yeom et al. · 0 citations
Preprint Sep 2026

MFVINS: Multiple Fisheye Camera-Based Visual Inertial System

A new multiple fisheye camera-based visual-inertial system called MFVINS is implemented in real-time process to leverage the advantages of using multiple cameras -- robustness against occlusion and textureless regions -- while reducing the computational burden.

Eunseong Jang, Yu-Jin Chung, Sang-Jun Lee et al. · 0 citations

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