Dan Zecha - RankMe

23 papers A 3B 2Journal 8Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors. CoRR Henrik Klagges, Robert Dahlke, Fabian Klemm, Benjamin Merkel, Daniel Klingmann, David A. Reiss, Dan Zecha
2025	J	`jnl`	Mixture of Tunable Experts - Behavior Modification of DeepSeek-R1 at Inference Time. CoRR Robert Dahlke, Henrik Klagges, Dan Zecha, Benjamin Merkel, Sven Rohr, Fabian Klemm
2020	—	`—`	Motion Kinematics and Dynamics Prediction Using Human Pose Estimation in Videos - Towards Automated, Kinematical Profiling of Swimmers and Ski Jumpers Dan Zecha
2019	—	`conf`	Frame-Level Event Detection in Athletics Videos with Pose-Based Convolutional Sequence Networks. MMSports@MM Moritz Einfalt, Charles Dampeyrou, Dan Zecha, Rainer Lienhart
2019	J	`jnl`	Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing. CoRR Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser, René Schallner
2019	—	`conf`	Image Captioning with Clause-Focused Metrics in a Multi-modal Setting for Marketing. MIPR Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser, René Schallner
2019	—	`conf`	Refining Joint Locations for Human Pose Tracking in Sports Videos. CVPR Workshops Dan Zecha, Moritz Einfalt, Rainer Lienhart
2018	—	`conf`	A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps. MMSports@MM Dan Zecha, Christian Eggert, Moritz Einfalt, Stephan Brehm, Rainer Lienhart
2018	A	`conf`	Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming. WACV Moritz Einfalt, Dan Zecha, Rainer Lienhart
2018	J	`jnl`	Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming. CoRR Moritz Einfalt, Dan Zecha, Rainer Lienhart
2018	—	`conf`	Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports. CVPR Workshops Dan Zecha, Moritz Einfalt, Christian Eggert, Rainer Lienhart
2018	J	`jnl`	Mining Automatically Estimated Poses from Video Recordings of Top Athletes. CoRR Rainer Lienhart, Moritz Einfalt, Dan Zecha
2018	J	`jnl`	Mining Automatically Estimated Poses from Video Recordings of Top Athletes. Int. J. Comput. Sci. Sport Rainer Lienhart, Moritz Einfalt, Dan Zecha
2018	—	`conf`	Session details: Session 2. MMSports@MM Dan Zecha
2017	A	`conf`	A closer look: Small object detection in faster R-CNN. ICME Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha, Rainer Lienhart
2017	B	`conf`	Improving Small Object Proposals for Company Logo Detection. ICMR Christian Eggert, Dan Zecha, Stephan Brehm, Rainer Lienhart
2017	J	`jnl`	Improving Small Object Proposals for Company Logo Detection. CoRR Christian Eggert, Dan Zecha, Stephan Brehm, Rainer Lienhart
2017	—	`conf`	Pose Estimation for Deriving Kinematic Parameters of Competitive Swimmers. Computer Vision Applications in Sports Dan Zecha, Christian Eggert, Rainer Lienhart
2016	B	`conf`	Saliency-guided selective magnification for company logo detection. ICPR Christian Eggert, Anton Winschel, Dan Zecha, Rainer Lienhart
2015	A	`conf`	Key-Pose Prediction in Cyclic Human Motion. WACV Dan Zecha, Rainer Lienhart
2015	J	`jnl`	Key-Pose Prediction in Cyclic Human Motion. CoRR Dan Zecha, Rainer Lienhart
2012	—	`conf`	SYNOPS - Generation of Partial Languages and Synthesis of Petri Nets. PNSE Robert Lorenz, Markus Huber, Christoph Etzel, Dan Zecha
2012	—	`conf`	Swimmer detection and pose estimation for continuous stroke-rate determination. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems Dan Zecha, Thomas Greif, Rainer Lienhart

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.