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20182025
most citedResearch on the Security of Blockchain Data: A Survey

28 citations · 48 across the 23 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval

Yuanmin Tang, Jing Yu, Keke Gai +4

Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks with a broad range of visual content manipulation intent across domain, scene, object, and attribute. The key cha…

cs.CV2024

Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval

Yuanmin Tang, Jing Yu, Keke Gai +4

Zero-Shot Composed Image Retrieval (ZS-CIR) supports diverse tasks with a broad range of visual content manipulation intentions that can be related to domain, scene, object, and at…

cs.CV2024★ 6 cited

T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval

Yili Li, Jing Yu, Keke Gai +3

Current text-video retrieval methods mainly rely on cross-modal matching between queries and videos to calculate their similarity scores, which are then sorted to obtain retrieval…

cs.CV2024

IIU: Independent Inference Units for Knowledge-based Visual Question Answering

Yili Li, Jing Yu, Keke Gai +1

Knowledge-based visual question answering requires external knowledge beyond visible content to answer the question correctly. One limitation of existing methods is that they focus…

cs.CV2024

Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning

Xiangyan Qu, Jing Yu, Keke Gai +5

Recent work shows that documents from encyclopedias serve as helpful auxiliary information for zero-shot learning. Existing methods align the entire semantics of a document with co…

cs.CV2023★ 2 cited

Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search

Yuanmin Tang, Jing Yu, Keke Gai +4

Cross-Modal sponsored search displays multi-modal advertisements (ads) when consumers look for desired products by natural language queries in search engines. Since multi-modal ads…

cs.CV2023★ 2 cited

Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval

Yuanmin Tang, Jing Yu, Keke Gai +4

Different from Composed Image Retrieval task that requires expensive labels for training task-specific models, Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks wi…