Michael Goebel

24 papers A* 1A 1Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalizable Deepfake Detection With Phase-Based Motion Analysis.
IEEE Trans. Image Process.
Ekta Prashnani, Michael Goebel, B. S. Manjunath
2023 J jnl
A robust approach to 3D neuron shape representation for quantification and classification.
BMC Bioinform.
Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath
2023 — conf
LECA: A learned approach for efficient cover-agnostic watermarking.
Media Watermarking, Security, and Forensics
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
2023 J jnl
Resampling Estimation Based RPC Metadata Verification in Satellite Imagery.
IEEE Trans. Inf. Forensics Secur.
Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2022 J jnl
3D Neuron Morphology Analysis.
CoRR
Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath
2022 J jnl
Deep Learning Enabled Time-Lapse 3D Cell Analysis.
CoRR
Jiaxiang Jiang, Amil Khan, S. Shailja, Samuel A. Belteton, Michael Goebel, Daniel B. Szymanski, B. S. Manjunath
2022 J jnl
Generalizable Deepfake Detection with Phase-Based Motion Analysis.
CoRR
Ekta Prashnani, Michael Goebel, B. S. Manjunath
2022 J jnl
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking.
CoRR
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
2021 — conf
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions.
Media Watermarking, Security, and Forensics
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2021 J jnl
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions.
CoRR
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2021 — conf
Detection, Attribution and Localization of GAN Generated Images.
Media Watermarking, Security, and Forensics
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021 J jnl
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices.
CoRR
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021 — conf
Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices.
Media Watermarking, Security, and Forensics
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021 A conf
StressNet: Detecting Stress in Thermal Videos.
WACV
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
2020 J jnl
Detection, Attribution and Localization of GAN Generated Images.
CoRR
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2020 J jnl
StressNet: Detecting Stress in Thermal Videos.
CoRR
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
2019 — conf
Deep Learning Methods for Event Verification and Image Repurposing Detection.
Media Watermarking, Security, and Forensics
Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, Bangalore S. Manjunath
2019 J jnl
Deep Learning Methods for Event Verification and Image Repurposing Detection.
CoRR
Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, B. S. Manjunath
2019 — conf
Predicting Fluid Intelligence of Children Using T1-Weighted MR Images and a StackNet.
ABCD-NP@MICCAI
Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
2019 J jnl
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet.
CoRR
Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
2011 — conf
Revolution 613.
SIGGRAPH Asia Computer Animation Festival
Berter Orpak, Banjamin Haagen, Tobias Manglkammer, Michael Goebel
2006 — conf
Generalized Unified Decomposition of Ensemble Loss.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle
2002 A* conf
A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance.
ICML
Michael Goebel, Patricia J. Riddle, Mike Barley
1999 J jnl
A Survey of Data Mining and Knowledge Discovery Software Tools.
SIGKDD Explor.
Michael Goebel, Le Gruenwald