Wei Feng

CFR-Net outperforms traditional models in medical image anomaly detection by refining features collaboratively, even when trained only on normal data.

CoLT slashes inference time by over 10x while enabling multi-modal models to reason more efficiently with fewer steps.

HoloAgent-0 transforms how robots interpret and act on language instructions, enabling seamless execution of complex tasks in real-world settings.

ExDet achieves state-of-the-art performance in open-domain open-vocabulary detection while significantly reducing training costs through innovative cross-modal techniques.

Real-time object detectors can achieve cross-domain generalization without any extra inference overhead by leveraging collaborative evidence modeling during training.

Object detection gets a flexible upgrade: now you can specify objects with text *and* images, opening the door to more intuitive and practical real-world applications.