Patrick Wenzel

20 papers A* 1A 2Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. Int. J. Comput. Vis. Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
2023	J	`jnl`	4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. CoRR Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
2023	—	`—`	Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions. Patrick Wenzel
2021	A	`conf`	Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. AISTATS Qadeer Khan, Patrick Wenzel, Daniel Cremers
2021	J	`jnl`	Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. CoRR Qadeer Khan, Patrick Wenzel, Daniel Cremers
2021	A*	`conf`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2021	J	`jnl`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2020	—	`conf`	4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. GCPR Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
2020	J	`jnl`	4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. CoRR Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
2020	J	`jnl`	GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. IEEE Robotics Autom. Lett. Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers
2020	—	`conf`	LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. 3DV Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
2020	J	`jnl`	LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. CoRR Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
2019	J	`jnl`	GN-Net: The Gauss-Newton Loss for Deep Direct SLAM. CoRR Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers
2019	J	`jnl`	Latent Space Reinforcement Learning for Steering Angle Prediction. CoRR Qadeer Khan, Torsten Schön, Patrick Wenzel
2019	J	`jnl`	Semantic Label Reduction Techniques for Autonomous Driving. CoRR Qadeer Khan, Torsten Schön, Patrick Wenzel
2019	A	`conf`	Towards Generalizing Sensorimotor Control Across Weather Conditions. IROS Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé
2019	J	`jnl`	Towards Generalizing Sensorimotor Control Across Weather Conditions. CoRR Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé
2019	J	`jnl`	Towards Self-Supervised High Level Sensor Fusion. CoRR Qadeer Khan, Torsten Schön, Patrick Wenzel
2018	Misc	`conf`	Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. CoRL Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé
2018	J	`jnl`	Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. CoRR Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé

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.