Ganesh Sundaramoorthi

70 papers A* 21B 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data. CoRR Sudeepta Mondal, Xinyi Mary Xie, Ruxiao Duan, Alex Wong, Ganesh Sundaramoorthi
2025	A*	`conf`	A Variational Information Theoretic Approach to Out-of-Distribution Detection. ICML Sudeepta Mondal, Zhuolin Jiang, Ganesh Sundaramoorthi
2025	J	`jnl`	A Variational Information Theoretic Approach to Out-of-Distribution Detection. CoRR Sudeepta Mondal, Zhuolin Jiang, Ganesh Sundaramoorthi
2025	J	`jnl`	ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting. CoRR Daniel Wang, Patrick Rim, Tian Tian, Alex Wong, Ganesh Sundaramoorthi
2024	J	`jnl`	A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks. J. Mach. Learn. Res. Yuxin Sun, Dong Lao, Anthony Yezzi, Ganesh Sundaramoorthi
2023	J	`jnl`	HAct: Out-of-Distribution Detection with Neural Net Activation Histograms. CoRR Sudeepta Mondal, Ganesh Sundaramoorthi
2023	J	`jnl`	StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation. CoRR Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony J. Yezzi
2023	A*	`conf`	Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation. NeurIPS Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony J. Yezzi
2022	J	`jnl`	Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms. SIAM J. Imaging Sci. Ganesh Sundaramoorthi, Anthony J. Yezzi, Minas Benyamin
2022	A*	`conf`	Surprising Instabilities in Training Deep Networks and a Theoretical Analysis. NeurIPS Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony J. Yezzi
2022	J	`jnl`	Surprising Instabilities in Training Deep Networks and a Theoretical Analysis. CoRR Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony J. Yezzi
2021	—	`conf`	Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation. ICCVW Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr
2021	J	`jnl`	Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation. CoRR Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr
2021	A*	`conf`	Flow-Guided Video Inpainting with Scene Templates. ICCV Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi
2021	J	`jnl`	Flow-Guided Video Inpainting with Scene Templates. CoRR Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi
2021	J	`jnl`	Shape-Tailored Deep Neural Networks. CoRR Naeemullah Khan, Angira Sharma, Ganesh Sundaramoorthi, Philip H. S. Torr
2020	J	`jnl`	Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case. SIAM J. Imaging Sci. Anthony J. Yezzi, Ganesh Sundaramoorthi, Minas Benyamin
2020	J	`jnl`	Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems. J. Math. Imaging Vis. Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi
2020	J	`jnl`	Channel-Directed Gradients for Optimization of Convolutional Neural Networks. CoRR Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi
2020	J	`jnl`	Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation. CoRR Angira Sharma, Naeemullah Khan, Ganesh Sundaramoorthi, Philip H. S. Torr
2020	A*	`conf`	Phase Consistent Ecological Domain Adaptation. CVPR Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto
2020	J	`jnl`	Phase Consistent Ecological Domain Adaptation. CoRR Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto
2019	A*	`conf`	Minimum Delay Object Detection From Video. ICCV Dong Lao, Ganesh Sundaramoorthi
2019	J	`jnl`	Minimum Delay Object Detection From Video. CoRR Dong Lao, Ganesh Sundaramoorthi
2019	A*	`conf`	PDE Acceleration for Active Contours. CVPR Anthony J. Yezzi, Ganesh Sundaramoorthi, Minas Benyamin
2019	J	`jnl`	SurfCut: Surfaces of Minimal Paths from Topological Structures. IEEE Trans. Pattern Anal. Mach. Intell. Marei Algarni, Ganesh Sundaramoorthi
2019	J	`jnl`	Translation Insensitive CNNs. CoRR Ganesh Sundaramoorthi, Timothy E. Wang
2018	J	`jnl`	Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms. CoRR Ganesh Sundaramoorthi, Anthony J. Yezzi
2018	J	`jnl`	Accelerated PDE's for efficient solution of regularized inversion problems. CoRR Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi
2018	—	`conf`	Extending Layered Models to 3D Motion. ECCV (10) Dong Lao, Ganesh Sundaramoorthi
2018	A*	`conf`	Learned Shape-Tailored Descriptors for Segmentation. CVPR Naeemullah Khan, Ganesh Sundaramoorthi
2018	A*	`conf`	Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms. NeurIPS Ganesh Sundaramoorthi, Anthony J. Yezzi
2017	J	`jnl`	Accelerated Optimization in the PDE Framework: Formulations for the Active Contour Case. CoRR Anthony J. Yezzi, Ganesh Sundaramoorthi
2017	A*	`conf`	Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. CVPR Naeemullah Khan, Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi
2017	A*	`conf`	Minimum Delay Moving Object Detection. CVPR Dong Lao, Ganesh Sundaramoorthi
2017	J	`jnl`	SurfCut: Surfaces of Minimal Paths From Topological Structures. CoRR Marei Algarni, Ganesh Sundaramoorthi
2016	J	`jnl`	Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces. CoRR Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong
2016	J	`jnl`	Quickest Moving Object Detection. CoRR Dong Lao, Ganesh Sundaramoorthi
2016	—	`conf`	SurfCut: Free-Boundary Surface Extraction. ECCV (7) Marei Algarni, Ganesh Sundaramoorthi
2015	A*	`conf`	Coarse-to-fine region selection and matching. CVPR Yanchao Yang, Zhaojin Lu, Ganesh Sundaramoorthi
2015	A*	`conf`	Self-Occlusions and Disocclusions in Causal Video Object Segmentation. ICCV Yanchao Yang, Ganesh Sundaramoorthi, Stefano Soatto
2015	J	`jnl`	Shape Tracking with Occlusions via Coarse-to-Fine Region-Based Sobolev Descent. IEEE Trans. Pattern Anal. Mach. Intell. Yanchao Yang, Ganesh Sundaramoorthi
2015	A*	`conf`	Shape-tailored local descriptors and their application to segmentation and tracking. CVPR Naeemullah Khan, Marei Algarni, Anthony J. Yezzi, Ganesh Sundaramoorthi
2014	A*	`conf`	FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems. CVPR Ganesh Sundaramoorthi, Byung-Woo Hong
2014	J	`jnl`	Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints. IEEE Trans. Medical Imaging Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
2014	J	`jnl`	Tracking via Motion Estimation with Physically Motivated Inter-Region Constraints. CoRR Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
2013	A*	`conf`	A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems. CVPR Byung-Woo Hong, Zhaojin Lu, Ganesh Sundaramoorthi
2013	A*	`conf`	Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking. ICCV Yanchao Yang, Ganesh Sundaramoorthi
2012	J	`jnl`	Matching Through Features and Features Through Matching CoRR Ganesh Sundaramoorthi, Yanchao Yang
2012	J	`jnl`	Modeling Shape, Appearance and Self-Occlusions for Articulated Object Tracking CoRR Yanchao Yang, Ganesh Sundaramoorthi
2012	—	`conf`	Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints. CompIMAGE Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
2011	J	`jnl`	A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering. SIAM J. Imaging Sci. Ganesh Sundaramoorthi, Andrea Mennucci, Stefano Soatto, Anthony J. Yezzi
2010	A*	`conf`	Curious snakes: A minimum latency solution to the cluttered background problem in active contours. CVPR Ganesh Sundaramoorthi, Stefano Soatto, Anthony J. Yezzi
2010	—	`conf`	Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection. Computer-Aided Diagnosis Vandana Mohan, Ganesh Sundaramoorthi, Marek Kubicki, Douglas P. Terry, Allen R. Tannenbaum
2010	J	`jnl`	Tubular Surface Segmentation for Extracting Anatomical Structures From Medical Imagery. IEEE Trans. Medical Imaging Vandana Mohan, Ganesh Sundaramoorthi, Allen R. Tannenbaum
2009	J	`jnl`	3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding. Int. J. Comput. Vis. Kelvin R. Rocha, Ganesh Sundaramoorthi, Anthony J. Yezzi, Jerry L. Prince
2009	B	`conf`	Feature-based non-rigid volume registration of serial coronary CT angiography. Image Processing Jonghye Woo, Byung-Woo Hong, Damini Dey, Victor Cheng, Amit Ramesh, Ganesh Sundaramoorthi, C.-C. Jay Kuo, Daniel S. Berman, Guido Germano, Piotr J. Slomka
2009	J	`jnl`	New Possibilities with Sobolev Active Contours. Int. J. Comput. Vis. Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci, Guillermo Sapiro
2009	A*	`conf`	On the set of images modulo viewpoint and contrast changes. CVPR Ganesh Sundaramoorthi, Peter Petersen, V. S. Varadarajan, Stefano Soatto
2009	—	`conf`	Sobolev gradients and joint variational image segmentation, denoising, and deblurring. Computational Imaging Miyoun Jung, Ginmo Chung, Ganesh Sundaramoorthi, Luminita A. Vese, Alan L. Yuille
2009	—	`conf`	Tracking deforming objects by filtering and prediction in the space of curves. CDC Ganesh Sundaramoorthi, Andrea Mennucci, Stefano Soatto, Anthony J. Yezzi
2008	J	`jnl`	Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci
2007	A*	`conf`	3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding. ICCV Kelvin R. Rocha, Ganesh Sundaramoorthi, Anthony J. Yezzi
2007	—	`—`	Global Optimizing Flows for Active Contours. Ganesh Sundaramoorthi
2007	J	`jnl`	Global Regularizing Flows With Topology Preservation for Active Contours and Polygons. IEEE Trans. Image Process. Ganesh Sundaramoorthi, Anthony J. Yezzi
2007	—	`conf`	New Possibilities with Sobolev Active Contours. SSVM Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci, Guillermo Sapiro
2007	J	`jnl`	Sobolev Active Contours. Int. J. Comput. Vis. Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci
2006	—	`conf`	Tracking With Sobolev Active Contours. CVPR (1) Ganesh Sundaramoorthi, Jeremy D. Jackson, Anthony J. Yezzi, Andrea Mennucci
2005	A*	`conf`	More-Than-Topology-Preserving Flows for Active Contours and Polygons. ICCV Ganesh Sundaramoorthi, Anthony J. Yezzi
2005	—	`conf`	Sobolev Active Contours. VLSM Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.