Search Results for author: Michael Goebel

Found 8 papers, 4 papers with code

3D Neuron Morphology Analysis

no code implementations14 Dec 2022 Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath

A skeleton graph is then obtained from skeleton mesh and is used to extract sub-cellular features.

Generalizable Deepfake Detection with Phase-Based Motion Analysis

no code implementations17 Nov 2022 Ekta Prashnani, Michael Goebel, B. S. Manjunath

Overall, with PhaseForensics, we show improved distortion and adversarial robustness, and state-of-the-art cross-dataset generalization, with 91. 2% video-level AUC on the challenging CelebDFv2 (a recent state-of-the-art compares at 86. 9%).

Adversarial Robustness DeepFake Detection +3

Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices

no code implementations12 Apr 2021 Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath

While most detection methods in literature focus on detecting a particular type of manipulation, it is challenging to identify doctored images that involve a host of manipulations.

Image Forensics Image Manipulation +1

StressNet: Detecting Stress in Thermal Videos

1 code implementation18 Nov 2020 Satish Kumar, A S M Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B. S. Manjunath

Precise measurement of physiological signals is critical for the effective monitoring of human vital signs.

Detection, Attribution and Localization of GAN Generated Images

no code implementations20 Jul 2020 Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath

Recent advances in Generative Adversarial Networks (GANs) have led to the creation of realistic-looking digital images that pose a major challenge to their detection by humans or computers.

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