Michael Goebel

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 19

Top Topics

Reverse Engineer

Image Manipulation

Shape Representation

Top Venues

Media Watermarking, Security, and Forensics

IEEE Trans. Inf. Forensics Secur.

Publications

Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath
A robust approach to 3D neuron shape representation for quantification and classification. BMC Bioinform. 24 (1) (2023)
Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
Resampling Estimation Based RPC Metadata Verification in Satellite Imagery. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
LECA: A learned approach for efficient cover-agnostic watermarking. Media Watermarking, Security, and Forensics (2023)
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking. CoRR (2022)
Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath
3D Neuron Morphology Analysis. CoRR (2022)
Jiaxiang Jiang, Amil Khan, S. Shailja, Samuel A. Belteton, Michael Goebel, Daniel B. Szymanski, B. S. Manjunath
Deep Learning Enabled Time-Lapse 3D Cell Analysis. CoRR (2022)
Ekta Prashnani, Michael Goebel, B. S. Manjunath
Generalizable Deepfake Detection with Phase-Based Motion Analysis. CoRR (2022)
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
StressNet: Detecting Stress in Thermal Videos. WACV (2021)
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. Media Watermarking, Security, and Forensics (2021)
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. CoRR (2021)
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Detection, Attribution and Localization of GAN Generated Images. Media Watermarking, Security, and Forensics (2021)
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices. Media Watermarking, Security, and Forensics (2021)
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices. CoRR (2021)
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Detection, Attribution and Localization of GAN Generated Images. CoRR (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
StressNet: Detecting Stress in Thermal Videos. CoRR (2020)
Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet. CoRR (2019)
Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
Predicting Fluid Intelligence of Children Using T1-Weighted MR Images and a StackNet. ABCD-NP@MICCAI (2019)
Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, B. S. Manjunath
Deep Learning Methods for Event Verification and Image Repurposing Detection. CoRR (2019)
Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, Bangalore S. Manjunath
Deep Learning Methods for Event Verification and Image Repurposing Detection. Media Watermarking, Security, and Forensics (2019)
Berter Orpak, Banjamin Haagen, Tobias Manglkammer, Michael Goebel
Revolution 613. SIGGRAPH Asia Computer Animation Festival (2011)
Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle
Generalized Unified Decomposition of Ensemble Loss. Australian Conference on Artificial Intelligence (2006)
Michael Goebel, Patricia J. Riddle, Mike Barley
A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. ICML (2002)
Michael Goebel, Le Gruenwald
A Survey of Data Mining and Knowledge Discovery Software Tools. SIGKDD Explor. 1 (1) (1999)