Ke Ma

TransBiolab: A Real-World Multi-View Dataset of Cluttered Transparent Biomedical Objects

Ke Ma, Yifei Wang, Meng Wang, Tian Xia

Autonomous biomedical laboratories increasingly rely on visual perception to recognize, localize, and manipulate transparent plasticware, yet high-quality real-world datasets for this setting remain limited. The scarcity of domain-relevant data is particularly restrictive in clut…Read more

Technical Report on the CVPR 2026@AdvML Workshop Challenge

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu, Ligong Zhang, Ke Ma, Chengzhi Sun, et al.

Vision-language agents (VLAs) are increasingly used to interpret complex driving scenes and support safety-critical reasoning. This report presents the CVPR 2026@AdvML Workshop Challenge on adversarial multimodal attacks against autonomous-driving VLAs. Built on DriveLM-style mul…Read more

Human–machine collaborative model for dynamic translation of intangible cultural heritage patterns based on generative adversarial network and reinforcement learning from human feedback

Ke Ma, Lin Qi