Keonho Lee — accepted AI-conference papers

2025

Sparse Structure Exploration and Re-optimization for Vision Transformer

Sangho An, Jinwoo Kim, Keonho Lee, Jingang Huh, Chanwoong Kwak, Yujin Lee +2

UAI 2025

Vision Transformers (ViTs) achieve outstanding performance by effectively capturing long-range dependencies between image patches (tokens). However, the high computational cost and memory requirements of ViTs present challenges for model compression and deployment on edge devices. In this study, we

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2024

D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection

Dinh Phat Do, Taehoon Kim, Jaemin Na, Jiwon Kim, Keonho Lee, Kyunghwan Cho +1

CVPR 2024poster

Domain adaptation for object detection typically entails transferring knowledge from one visible domain to another visible domain. However there are limited studies on adapting from the visible to the thermal domain because the domain gap between the visible and thermal domains is much larger than e…

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