45 citations · 76 across the 16 of their papers we have counts for
6 papers · 1 filter
SAC-GAN: Structure-Aware Image Composition
Hang Zhou, Rui Ma, Ling-Xiao Zhang +3
We introduce an end-to-end learning framework for image-to-image composition, aiming to plausibly compose an object represented as a cropped patch from an object image into a backg…
From Image to Imuge: Immunized Image Generation
Qichao Ying, Zhenxing Qian, Hang Zhou +3
We introduce Imuge, an image tamper resilient generative scheme for image self-recovery. The traditional manner of concealing image content within the image are inflexible and frag…
Hiding Images into Images with Real-world Robustness
Qichao Ying, Hang Zhou, Xianhan Zeng +3
The existing image embedding networks are basically vulnerable to malicious attacks such as JPEG compression and noise adding, not applicable for real-world copyright protection ta…
Three-Dimensional Mesh Steganography and Steganalysis: A Review
Hang Zhou, Weiming Zhang, Kejiang Chen +2
Three-dimensional (3-D) meshes are commonly used to represent virtual surfaces and volumes. Over the past decade, 3-D meshes have emerged in industrial, medical, and entertainment…
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
Xiquan Guan, Huamin Feng, Weiming Zhang +3
Deep convolutional neural networks have made outstanding contributions in many fields such as computer vision in the past few years and many researchers published well-trained netw…
Adversarial Examples Detection beyond Image Space
Kejiang Chen, Yuefeng Chen, Hang Zhou +4
Deep neural networks have been proved that they are vulnerable to adversarial examples, which are generated by adding human-imperceptible perturbations to images. To defend these a…