Jun Jie Ou Yang — accepted AI-conference papers

2025

CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR

Xugong Qin, Peng Zhang, Jun Jie Ou Yang, Gangyan Zeng, Yubo Li, Yuanyuan Wang +2

CVPR 2025poster

Scene Text Retrieval (STR) seeks to identify all images containing a given query string. Existing methods typically rely on an explicit Optical Character Recognition (OCR) process of text spotting or localization, which is susceptible to complex pipelines and accumulated errors. To settle this, we r…

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2025

Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark

Hao Guo, Xugong Qin, Jun Jie Ou Yang, Peng Zhang, Gangyan Zeng, Yubo Li +1

CVPR 2025poster

Document image retrieval (DIR) aims to retrieve document images from a gallery according to a given query. Existing DIR methods are primarily based on image queries that retrieve documents within the same coarse semantic category, e.g., newspapers or receipts. However, these methods struggle to effe…

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