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20202026
most citedImproving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation

8 citations · 15 across the 11 of their papers we have counts for

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cs.CV2024

DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization

Chengxin Zhao, Hefei Ling, Sijing Xie +4

Embedding invisible hyperlinks or hidden codes in images to replace QR codes has become a hot topic recently. This technology requires first localizing the embedded region in the c…

cs.CV2022★ 8 cited

Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation

Fengfan Zhou, Hefei Ling, Yuxuan Shi +3

Face recognition (FR) models can be easily fooled by adversarial examples, which are crafted by adding imperceptible perturbations on benign face images. The existence of adversari…

cs.CV2021

Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes

Jiachen Xu, Junlin Guo, James Zimmer-Dauphinee +7

Archaeology has long faced fundamental issues of sampling and scalar representation. Traditionally, the local-to-regional-scale views of settlement patterns are produced through sy…

cs.CV2021

Hands-on Guidance for Distilling Object Detectors

Yangyang Qin, Hefei Ling, Zhenghai He +2

Knowledge distillation can lead to deploy-friendly networks against the plagued computational complexity problem, but previous methods neglect the feature hierarchy in detectors. M…

cs.CV2020

Selective Convolutional Network: An Efficient Object Detector with Ignoring Background

Hefei Ling, Yangyang Qin, Li Zhang +2

It is well known that attention mechanisms can effectively improve the performance of many CNNs including object detectors. Instead of refining feature maps prevalently, we reduce…