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20242026
most citedHypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2026

VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

Siran Peng, Tianshuo Zhang, Tianyu Fu +8

Visual backbones have evolved from Convolutional Neural Networks (CNNs) with local aggregation to Vision Transformers (ViTs) with global interactions, State-Space Models (SSMs) wit…

cs.CV2026

Dive Into the Implicit Biases of Low-rank Vision-language Alignment

Mingjia Shi, Shuo Wang, Xiaobo Wang +7

Vision-language alignment, the stage that bridges pretrained vision encoders and large language models, is widely treated as a form of pretraining requiring full-parameter updates.…

cs.CV2026

WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation

Wei Dong, Tianyu Fu, Zhe Yu +9

As web agents increasingly demonstrate capabilities in automated task execution, the development of robust evaluation frameworks for assessing their navigation and task completion…

cs.CV2025

PRE-MAP: Personalized Reinforced Eye-tracking Multimodal LLM for High-Resolution Multi-Attribute Point Prediction

Hanbing Wu, Ping Jiang, Anyang Su +5

Visual selective attention, driven by individual preferences, regulates human prioritization of visual stimuli by bridging subjective cognitive mechanisms with objective visual ele…

cs.CV2024★ 1 cited

Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

Minghui Wu, Chenxu Zhao, Anyang Su +8

Understanding of video creativity and content often varies among individuals, with differences in focal points and cognitive levels across different ages, experiences, and genders.…