Xuan Wang

Direct radar velocity measurements can anchor visual object permanence through complete optical dropouts and clutter, driving a massive 30-point MOTA leap in multimodal moving-object tracking.

Multi-agent LLM systems can misfire due to interconnected errors, and EDGE reveals how understanding these dependencies dramatically enhances error attribution accuracy.

Adversarial techniques traditionally seen as threats are now being repurposed by content owners to proactively safeguard their visual assets from misuse.