Transferable Adversarial Perturbations

no code implementations • ECCV 2018 • Wen Zhou, Xin Hou, Yongjun Chen, Mengyun Tang, Xiangqi Huang, Xiang Gan, Yong Yang

We first show that maximizing distance between natural images and their adversarial examples in the intermediate feature maps can improve both white-box attacks (with knowledge of the model parameters) and black-box attacks.

Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems

no code implementations • CVPR 2014 • Xiangqi Huang, Bo Zheng, Takeshi Masuda, Katsushi Ikeuchi

Our feature description is designed as two steps: 1) we normalize the detected local regions to canonical shapes for robust matching; 2) we encode each key point with multiple vectors at different Morse function values.

3D Reconstruction