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Rui-Rui Li

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Preprint Sep 2026

The Visual Target Matters: Learning across the Visual Hierarchy for Brain-to-Image Retrieval

Brain-to-image retrieval seeks to identify the visual stimulus that elicited a non-invasive neural response. Candidate images are typically represented by pretrained vision models, whose internal representations vary in abstraction across depth. Existing methods usually train the neural encoder to recover a fixed final...

Ye Wang, Hao-Kun Ren, Hong Yu et al. · 0 citations
Preprint Aug 2026

From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents

Existing long-video agents acquire evidence through one uniform behavior, ignoring whether the required evidence is concentrated, requires broad occurrence coverage, or must discriminate competing hypotheses---which can cause failure before substantive reasoning begins. Prescribing a fine-grained solution procedure for...

Can-Can Zhang, Bao-Feng Zhang, Xiao-Tian Han et al. · 0 citations
Conference Aug 2026

ActionLMM: captioning long-video actions with memory-augmented VLMs

This work introduces ActionLMM, a memory-augmented vision-language model for long-video action summarization that aligns visual and motion modalities through joint representation learning and leverages a novel dual-memory mechanism to retain both local motion details and global temporal structure.

Rui-Rui Li, Dari Abdullah Alrwoaily, Turgut Sofuyev et al. · 0 citations

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