8 citations · 9 across the 4 of their papers we have counts for
4 papers
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
Xiaolong Wei, LiFang Yang, Xianglin Huang +4
At present, attention mechanism has been widely applied to the fields of deep learning models. Structural models that based on attention mechanism can not only record the relations…
Resampling detection of recompressed images via dual-stream convolutional neural network
Gang Cao, Antao Zhou, Xianglin Huang +3
Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images,…
Acceleration of Histogram-Based Contrast Enhancement via Selective Downsampling
Gang Cao, Huawei Tian, Lifang Yu +2
In this paper, we propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms. Both spatial and gray-level selective down-sam…
Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction
Gang Cao, Lihui Huang, Huawei Tian +3
As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF…