most citedGeo-DefakeHop: High-Performance Geographic Fake Image Detection

11 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation

Kaitai Zhang, Bin Wang, C. -C. Jay Kuo

A neural network targeting at unsupervised image anomaly localization, called the PEDENet, is proposed in this work. PEDENet contains a patch embedding (PE) network, a density esti…

cs.CV202111 cited

Geo-DefakeHop: High-Performance Geographic Fake Image Detection

Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu +2

A robust fake satellite image detection method, called Geo-DefakeHop, is proposed in this work. Geo-DefakeHop is developed based on the parallel subspace learning (PSL) methodology…

cs.CV20215 cited

TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation

Xuejing Lei, Ganning Zhao, Kaitai Zhang +1

An explainable, efficient and lightweight method for texture generation, called TGHop (an acronym of Texture Generation PixelHop), is proposed in this work. Although synthesis of v…

cs.CV20212 cited

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

Kaitai Zhang, Bin Wang, Hong-Shuo Chen +3

The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos. The major drawback of existing dynamic texture synth…

cs.CV20181 cited

Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Ye Wang, Jongmoo Choi, Yueru Chen +5

Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects. It becomes tremendously challenging when…