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Zhongying Tu

2 accepted papers

2025

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

CVPR 2025poster

Document content extraction is a critical task in computer vision, underpinning the data needs of large language models (LLMs) and retrieval-augmented generation (RAG) systems. Despite recent progress, current document parsing methods have not been fairly and comprehensively evaluated due to the nar…

2025

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos

ICCV 2025poster

We present VRBench, the first long narrative video benchmark crafted for evaluating large models' multi-step reasoning capabilities, addressing limitations in existing evaluations that overlook temporal reasoning and procedural validity. It comprises 960 long videos (with an average duration of 1.6…

Cited by 0SourcePDFScholar