4 citations · 8 across the 3 of their papers we have counts for
5 papers
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao, Yuezun Li, Xin Wang +6
Fooling people with highly realistic fake images generated with Deepfake or GANs brings a great social disturbance to our society. Many methods have been proposed to detect fake im…
Low-Rank Subspace Representation from Optimal Coded-Aperture for Unsupervised Classification of Hyperspectral Imagery
Jianchen Zhu
This paper aims at developing a clustering approach with spectral images directly from the compressive measurements of coded aperture snapshot spectral imager (CASSI). Assuming tha…
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu +1
Convolutional neural networks (CNN) are capable of learning robust representation with different regularization methods and activations as convolutional layers are spatially correl…
Learning Target-oriented Dual Attention for Robust RGB-T Tracking
Rui Yang, Yabin Zhu, Xiao Wang +2
RGB-Thermal object tracking attempt to locate target object using complementary visual and thermal infrared data. Existing RGB-T trackers fuse different modalities by robust featur…
Channel Attention and Multi-level Features Fusion for Single Image Super-Resolution
Yue Lu, Yun Zhou, Zhuqing Jiang +2
Convolutional neural networks (CNNs) have demonstrated superior performance in super-resolution (SR). However, most CNN-based SR methods neglect the different importance among feat…