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Michael Goebel
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2020 – today
- 2023
- [j3]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): 366 (2023) - [j2]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: 3212-3221 (2023) - [c10]Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang:
LECA: A learned approach for efficient cover-agnostic watermarking. Media Watermarking, Security, and Forensics 2023: 1-6 - 2022
- [i10]Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang:
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking. CoRR abs/2206.10813 (2022) - [i9]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 abs/2208.07997 (2022) - [i8]Ekta Prashnani, Michael Goebel, B. S. Manjunath:
Generalizable Deepfake Detection with Phase-Based Motion Analysis. CoRR abs/2211.09363 (2022) - [i7]Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath:
3D Neuron Morphology Analysis. CoRR abs/2212.07044 (2022) - 2021
- [c9]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 - [c8]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 - [c7]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 - [c6]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: 998-1008 - [i6]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 abs/2103.11002 (2021) - [i5]Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath:
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices. CoRR abs/2104.05693 (2021) - 2020
- [i4]Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath:
Detection, Attribution and Localization of GAN Generated Images. CoRR abs/2007.10466 (2020) - [i3]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 abs/2011.09540 (2020)
2010 – 2019
- 2019
- [c5]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 - [c4]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: 9-16 - [i2]Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, B. S. Manjunath:
Deep Learning Methods for Event Verification and Image Repurposing Detection. CoRR abs/1902.04038 (2019) - [i1]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 abs/1904.07387 (2019) - 2011
- [c3]Berter Orpak, Banjamin Haagen, Tobias Manglkammer, Michael Goebel:
Revolution 613. SIGGRAPH Asia Computer Animation Festival 2011: 33:1
2000 – 2009
- 2006
- [c2]Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle:
Generalized Unified Decomposition of Ensemble Loss. Australian Conference on Artificial Intelligence 2006: 1133-1139 - 2002
- [c1]Michael Goebel, Patricia J. Riddle, Mike Barley:
A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. ICML 2002: 211-218
1990 – 1999
- 1999
- [j1]Michael Goebel, Le Gruenwald:
A Survey of Data Mining and Knowledge Discovery Software Tools. SIGKDD Explor. 1(1): 20-33 (1999)
Coauthor Index
aka: Bangalore S. Manjunath
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