42 citations · 84 across the 8 of their papers we have counts for
8 papers
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization
Hanchen Xie, Mohamed E. Hussein, Aram Galstyan +1
Deep neural networks are powerful, massively parameterized machine learning models that have been shown to perform well in supervised learning tasks. However, very large amounts of…
On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks
Hengameh Mirzaalian, Mohamed Hussein, Wael Abd-Almageed
Fingerprint presentation attack detection (FPAD) is becoming an increasingly challenging problem due to the continuous advancement of attack techniques, which generate `realistic-l…
QATM: Quality-Aware Template Matching For Deep Learning
Jiaxin Cheng, Yue Wu, Wael Abd-Almageed +1
Finding a template in a search image is one of the core problems many computer vision, such as semantic image semantic, image-to-GPS verification \etc. We propose a novel quality-a…
Image-to-GPS Verification Through A Bottom-Up Pattern Matching Network
Jiaxin Cheng, Yue Wu, Wael Abd-Almageed +1
The image-to-GPS verification problem asks whether a given image is taken at a claimed GPS location. In this paper, we treat it as an image verification problem -- whether a query…
Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text
Ayush Jaiswal, Ekraam Sabir, Wael AbdAlmageed +1
Real world multimedia data is often composed of multiple modalities such as an image or a video with associated text (e.g. captions, user comments, etc.) and metadata. Such multimo…
Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection
Yue Wu, Wael AbdAlmageed, Prem Natarajan
Image splicing is a very common image manipulation technique that is sometimes used for malicious purposes. A splicing detec- tion and localization algorithm usually takes an input…