Michael Arens

einx transforms tensor programming by providing a universal, readable notation that eliminates shape errors and simplifies complex operations.

Adversarial Voronoi camouflage achieves robust evasion against multiple detection models while maintaining visual plausibility, challenging traditional adversarial patch designs.

Augmentation techniques can dramatically improve multispectral CNN performance, revealing how color and thermal data interplay in object detection.