3 papers
cs.AI2026
PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft
Yuchen Guo, Junli Gong, Weicheng Wang +3
We present PEAM, a Parametric Embodied Agent Memory framework in Minecraft that transforms agent memory from inference-time retrieval into parameter-resident skills internalized th…
cs.CV2026
Can Segmentation Models Understand the World? Towards Proactive Affordance Reasoning via Visual Chain-of-Thought
Yuchen Guo, Junli Gong, Hongmin Cai +2
Recent segmentation models couple large language models (LLMs) with mask decoders to ground complex language expressions into masks, yet their instructions remain target-referentia…
cs.CV2026
Bringing Multimodal Large Language Models to Infrared-Visible Image Fusion Quality Assessment
Yuchen Guo, Junli Gong, Yao Lu +3
Infrared-Visible image fusion (IVIF) aims to integrate thermal information and detailed spatial structures into a single fused image to enhance perception. However, existing evalua…