7 citations · 14 across the 33 of their papers we have counts for
5 papers · 1 filter
Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?
Qianshan Wei, Yishan Yang, Siyi Wang +12
Multimodal Large Language Models (MLLMs) are evolving from passive observers into active agents, solving problems through Visual Expansion (invoking visual tools) and Knowledge Exp…
Landmark-Guided Knowledge for Vision-and-Language Navigation
Dongsheng Yang, Meiling Zhu, Yinfeng Yu
Vision-and-language navigation is one of the core tasks in embodied intelligence, requiring an agent to autonomously navigate in an unfamiliar environment based on natural language…
Iterative Residual Cross-Attention Mechanism: An Integrated Approach for Audio-Visual Navigation Tasks
Hailong Zhang, Yinfeng Yu, Liejun Wang +2
Audio-visual navigation represents a significant area of research in which intelligent agents utilize egocentric visual and auditory perceptions to identify audio targets. Conventi…
Audio-Guided Dynamic Modality Fusion with Stereo-Aware Attention for Audio-Visual Navigation
Jia Li, Yinfeng Yu, Liejun Wang +2
In audio-visual navigation (AVN) tasks, an embodied agent must autonomously localize a sound source in unknown and complex 3D environments based on audio-visual signals. Existing m…
Measuring Acoustics with Collaborative Multiple Agents
Yinfeng Yu, Changan Chen, Lele Cao +2
As humans, we hear sound every second of our life. The sound we hear is often affected by the acoustics of the environment surrounding us. For example, a spacious hall leads to mor…