3 papers
cs.CV2023
Improving Human-Object Interaction Detection via Virtual Image Learning
Shuman Fang, Shuai Liu, Jie Li +3
Human-Object Interaction (HOI) detection aims to understand the interactions between humans and objects, which plays a curtail role in high-level semantic understanding tasks. Howe…
cs.CV2023
HODN: Disentangling Human-Object Feature for HOI Detection
Shuman Fang, Zhiwen Lin, Ke Yan +3
The task of Human-Object Interaction (HOI) detection is to detect humans and their interactions with surrounding objects, where transformer-based methods show dominant advances cur…
cs.LG2021
Learning to Learn Transferable Attack
Shuman Fang, Jie Li, Xianming Lin +1
Transfer adversarial attack is a non-trivial black-box adversarial attack that aims to craft adversarial perturbations on the surrogate model and then apply such perturbations to t…