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Zinan Liu

2 accepted papers

2026

LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models

CVPR 2026

Vision-Language Models (VLMs) typically assume a uniform spatial fidelity across the entire field of view of visual inputs, dedicating equal precision to even the uninformative regions. By contrast, human vision is neither uniform nor static. It is adaptive, selective, and resource-efficient. In lig

Cited by 0SourceScholar
2019

Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm

IROS 2019poster

Motor babbling and goal babbling has been used for sensorimotor learning of highly redundant systems in soft robotics. Recent works in goal babbling have demonstrated successful learning of inverse kinematics (IK) on such systems, and suggest that babbling in the goal space better resolves motor red…

Cited by 4SourceScholar