Jaemin Choi — accepted AI-conference papers

2026

LiveWeb-IE: A Benchmark For Online Web Information Extraction

Seungbin Yang, Jihwan Kim, Jaemin Choi, Dongjin Kim, Soyoung Yang, ChaeHun Park +1

ICLR 2026poster

Web information extraction (WIE) is the task of automatically extracting data from web pages, offering high utility for various applications. The evaluation of WIE systems has traditionally relied on benchmarks built from HTML snapshots captured at a single point in time. However, this offline evalu…

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2025

QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation

Jincheol Yang, Jaemin Choi, Matti Alexander Zinke, Suk-Ju Kang

NeurIPS 2025poster

Monocular depth estimation has advanced significantly with foundation models like Depth Anything, leveraging large-scale transformer architectures for the superior generalization. However, the deployment on resource-constrained devices remains challenging due to the high computation and memory requ…

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