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most citedZooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach

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cs.CV2026

An Extensive Benchmark for Single-round and Multi-round Instruction-based Image Editing

Yiwei Ma, Ke Ye, Weihuang Lin +4

In recent years, there have been notable advancements in the area of instruction-based image editing (IIE), which focuses on the automatic alteration of input images using a model.…

cs.CV2026

CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval

Zhipeng Qian, Zihan Liang, Yufei Ma +7

Composed Image Retrieval (CIR) enables users to search for target images using both a reference image and manipulation text, offering substantial advantages over single-modality re…

cs.CV2026

Multimodal OCR: Parse Anything from Documents

Handong Zheng, Yumeng Li, Kaile Zhang +22

We present Multimodal OCR (MOCR), a document parsing paradigm that jointly parses text and graphics into unified textual representations. Unlike conventional OCR systems that focus…

cs.CV20261 cited

Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach

Lvpan Cai, Haowei Wang, Jiayi Ji +4

The rise of AI-generated image tools has made localized forgeries increasingly realistic, posing challenges for visual content integrity. Although recent efforts have explored loca…

cs.CV2026

3D-DRES: Detailed 3D Referring Expression Segmentation

Qi Chen, Changli Wu, Jiayi Ji +2

Current 3D visual grounding tasks only process sentence level detection or segmentation, which critically fails to leverage the rich compositional contextual reasonings within natu…

cs.CV2025

CIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought Reasoning

Weihuang Lin, Yiwei Ma, Jiayi Ji +2

Composed Image Retrieval (CIR), which aims to find a target image from a reference image and a modification text, presents the core challenge of performing unified reasoning across…