(CCS 2024) I like this work in that it highlights the principle of holistic reasoning and leverages physical laws. Traditional object recognition and tracking tends to isolate objects and recognize them individually, however, this largely overlooks contextual information. We proposed to incorporate physical invariants, physics-bounded behavior modeling, and efficient rule-based interaction identification, which were used via a reasoning inference framework to produce resilient reocgnition results.
Zhiyuan Yu,
Ao Li,
Ruoyao Wen,
Yijia Chen,
Ning Zhang
