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20232026
most citedBrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction

15 citations · 15 across the 11 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.IR2026

AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation

Honghao Fu, Jiacheng Chen, Manxi Lin +7

While recent multimodal recommender systems have demonstrated the effectiveness of incorporating visual and textual information to improve downstream performance, most existing met…

cs.AI2026

V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding-Refusal Coupling Failure

Zhetong Zhang, Honghao Fu, Miao Xu +2

As Video Large Language Models are increasingly deployed in real-world applications, ensuring their safety alignment has become critical. Counterintuitively, we find that harmful v…

cs.IR2026

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping

Jiacheng Chen, Tao Zhang, Manxi Lin +26

The wave of AI-native applications is moving shopping beyond page- and feed-based browsing toward intent-driven experiences orchestrated by LLM agents. A common design wraps an LLM…

cs.CV2026

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG

Honghao Fu, Miao Xu, Yiwei Wang +3

Scaling multimodal large language models (MLLMs) to long videos is constrained by limited context windows. While retrieval-augmented generation (RAG) is a promising remedy by organ…

cs.CV2026

OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

Yiying Yang, Wei Cheng, Sijin Chen +5

OmniLottie is a versatile framework that generates high quality vector animations from multi-modal instructions. For flexible motion and visual content control, we focus on Lottie,…