321 citations · 1.3k across the 29 of their papers we have counts for
5 papers · 1 filter
Generate, Segment and Refine: Towards Generic Manipulation Segmentation
Peng Zhou, Bor-Chun Chen, Xintong Han +4
Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have re…
Enhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network
Xiaoyi He, Qiang Hu, Xintong Han +3
In this paper, we propose a partition-masked Convolution Neural Network (CNN) to achieve compressed-video enhancement for the state-of-the-art coding standard, High Efficiency Vide…
Learning Rich Features for Image Manipulation Detection
Peng Zhou, Xintong Han, Vlad I. Morariu +1
Image manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests tha…
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
Zuxuan Wu, Xintong Han, Yen-Liang Lin +4
Harvesting dense pixel-level annotations to train deep neural networks for semantic segmentation is extremely expensive and unwieldy at scale. While learning from synthetic data wh…
Two-Stream Neural Networks for Tampered Face Detection
Peng Zhou, Xintong Han, Vlad I. Morariu +1
We propose a two-stream network for face tampering detection. We train GoogLeNet to detect tampering artifacts in a face classification stream, and train a patch based triplet netw…