Author

Junmo Kim

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Preprint Sep 2026

Info3R: Information-Adaptive Test-Time Training for 3D Reconstruction

Transformer-based models have recently achieved strong performance on 3D reconstruction from images, and recent works extend them to process video streams in an online manner for real-world deployment. However, existing methods overlook two key signals when handling long image streams: the importance of each incoming f...

Sunghyun Baek, Hannah Bae, Minchan Kwon et al. · 0 citations

Preprint Sep 2026

PePESeg3D: Perception Prior Enhances Multi-Scale Segmentation for 3D Gaussian Splatting

PePESeg3D achieves state-of-the-art performance in both multi-scale segmentation and scene reconstruction, highlighting the importance of integrating perception priors into both geometry optimization and feature learning for accurate multi-scale 3D segmentation.

Sung Choi, Seunghee Koh, Junmo Kim · 0 citations

#artificial intelligence Preprint Sep 2026

Doesn't Stop Reasoning: Analysis of Spurious CoT Termination

Chain-of-thought (CoT) reasoning improves large reasoning models (LRMs) on complex tasks but often produces long, redundant traces. Recent training-free early-exit methods shorten these traces by choosing an intermediate point to stop reasoning. We study one such strategy that injects an end-of-think token (EoT,) at th...

Seunghee Koh, Su-Zie Choi, Minchan Kwon et al. · 1 citation