Search Results for author: Dookun Park

Found 4 papers, 0 papers with code

Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation

no code implementations CVPR 2025 Andrea Maracani, Savas Ozkan, Sijun Cho, Hyowon Kim, Eunchung Noh, Jeongwon Min, Cho Jung Min, Dookun Park, Mete Ozay

Scaling architectures have been proven effective for improving Scene Text Recognition (STR), but the individual contribution of vision encoder and text decoder scaling remain under-explored.

Decoder Scene Text Recognition

DEUS: A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues

no code implementations1 Mar 2021 Ziming Li, Dookun Park, Julia Kiseleva, Young-Bum Kim, Sungjin Lee

Digital assistants are experiencing rapid growth due to their ability to assist users with day-to-day tasks where most dialogues are happening multi-turn.

Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET

no code implementations28 Nov 2018 Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo

Deep convolutional neural networks (DCNN) have demonstrated its capability to convert MR image to pseudo CT for PET attenuation correction in PET/MRI.

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