85 citations · 245 across the 26 of their papers we have counts for
4 papers · 1 filter
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Ling Zhang, Chengjiang Long, Xiaolong Zhang +1
Residual images and illumination estimation have been proved very helpful in image enhancement. In this paper, we propose a general and novel framework RIS-GAN which explores resid…
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
Bhavan Vasu, Chengjiang Long
Deep neural networks have achieved great success in many real-world applications, yet it remains unclear and difficult to explain their decision-making process to an end-user. In t…
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
Bin Ding, Chengjiang Long, Ling Zhang +1
In this paper we propose an attentive recurrent generative adversarial network (ARGAN) to detect and remove shadows in an image. The generator consists of multiple progressive step…
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling
Tao Hu, Chengjiang Long, Leheng Zhang +1
In this paper, we propose a novel way to interpret text information by extracting visual feature presentation from multiple high-resolution and photo-realistic synthetic images gen…