1 code implementation • CVPR 2023 • Zhanhao Hu, Wenda Chu, Xiaopei Zhu, HUI ZHANG, Bo Zhang, Xiaolin Hu
In order to craft natural-looking adversarial clothes that can evade person detectors at multiple viewing angles, we propose adversarial camouflage textures (AdvCaT) that resemble one kind of the typical textures of daily clothes, camouflage textures.
no code implementations • 12 May 2022 • Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
We simulated the process from cloth to clothing in the digital world and then designed the adversarial "QR code" pattern.
1 code implementation • CVPR 2022 • Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu
Experiments showed that these clothes could fool person detectors in the physical world.
no code implementations • CVPR 2022 • Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
We simulated the process from cloth to clothing in the digital world and then designed the adversarial "QR code" pattern.
no code implementations • 20 Jan 2021 • Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu
By using a combination method, we successfully hide from the visible light and infrared object detection systems at the same time.