4 citations · 5 across the 19 of their papers we have counts for
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EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding
Yijia Lei, Jinzhao Li, Yichi Zhang +3
We introduce EgoSAT, the first comprehensive benchmark for egocentric video reasoning in streaming settings, designed to evaluate the capabilities of modern vision-language models…
IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams
Jinzhao Li, Yinuo Chen, Wenxuan Song +5
Recent multimodal large language models (MLLMs) achieve strong performance on reactive question answering, but real-world streaming assistants require proactive reasoning over cont…
Beyond Quantity: Distribution-Aware Labeling for Visual Grounding
Yichi Zhang, Gongwei Chen, Jun Zhu +2
Visual grounding requires large and diverse region-text pairs. However, manual annotation is costly and fixed vocabularies restrict scalability and generalization. Existing pseudo-…
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
Yichi Zhang, Yinpeng Dong, Siyuan Zhang +3
Although Multimodal Large Language Models (MLLMs) have demonstrated promising versatile capabilities, their performance is still inferior to specialized models on downstream tasks,…
How Robust is Google's Bard to Adversarial Image Attacks?
Yinpeng Dong, Huanran Chen, Jiawei Chen +6
Multimodal Large Language Models (MLLMs) that integrate text and other modalities (especially vision) have achieved unprecedented performance in various multimodal tasks. However,…