14 citations · 16 across the 4 of their papers we have counts for
6 papers
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…
Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata
Chengjiang Long, Roddy Collins, Eran Swears +1
We propose a novel method for predicting image labels by fusing image content descriptors with the social media context of each image. An image uploaded to a social media site such…
L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction
Yongwei Nie, Xu Cao, Chengjiang Long +2
Current face alignment algorithms can robustly find a set of landmarks along face contour. However, the landmarks are sparse and lack curve details, especially in chin and cheek ar…