activity
20132021
most citedImproving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training

61 citations · 210 across the 25 of their papers we have counts for

collaborators

32 papers

eess.IV20211 cited

Lightness Modulated Deep Inverse Tone Mapping

Kanglin Liu, Gaofeng Cao, Jiang Duan +1

Single-image HDR reconstruction or inverse tone mapping (iTM) is a challenging task. In particular, recovering information in over-exposed regions is extremely difficult because de…

cs.CV2021

Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification

Wenming Tang Guoping Qiu

This paper presents new designs of graph convolutional neural networks (GCNs) on 3D meshes for 3D object segmentation and classification. We use the faces of the mesh as basic proc…

cs.LG20211 cited

Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning

Zhi Chen, Jiang Duan, Li Kang +1

Anomaly detection has wide applications in machine intelligence but is still a difficult unsolved problem. Major challenges include the rarity of labeled anomalies and it is a clas…

eess.IV20214 cited

Quarter Laplacian Filter for Edge Aware Image Processing

Yuanhao Gong, Wenming Tang, Lebin Zhou +2

This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is , which is smaller than the su…

cs.CV20212 cited

A Discrete Scheme for Computing Image's Weighted Gaussian Curvature

Yuanhao Gong, Wenming Tang, Lebin Zhou +2

Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image…

eess.IV2021

VHS to HDTV Video Translation using Multi-task Adversarial Learning

Hongming Luo, Guangsen Liao, Xianxu Hou +3

There are large amount of valuable video archives in Video Home System (VHS) format. However, due to the analog nature, their quality is often poor. Compared to High-definition tel…