Rakshith Shetty

26 papers A* 8B 1C 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2021	—	`—`	Adversarial content manipulation for analyzing and improving model robustness. Rakshith Shetty
2021	A*	`conf`	Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. ICCV Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele
2021	J	`jnl`	Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. CoRR Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele
2020	B	`conf`	Diverse and Relevant Visual Storytelling with Scene Graph Embeddings. CoNLL Xudong Hong, Rakshith Shetty, Asad B. Sayeed, Khushboo Mehra, Vera Demberg, Bernt Schiele
2020	—	`conf`	Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. ECCV (2) Rakshith Shetty, Mario Fritz, Bernt Schiele
2020	A*	`conf`	Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CVPR Vedika Agarwal, Rakshith Shetty, Mario Fritz
2019	A*	`conf`	Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. CVPR Rakshith Shetty, Bernt Schiele, Mario Fritz
2019	J	`jnl`	Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CoRR Vedika Agarwal, Rakshith Shetty, Mario Fritz
2018	A*	`conf`	A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. USENIX Security Symposium Rakshith Shetty, Bernt Schiele, Mario Fritz
2018	A*	`conf`	Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. NeurIPS Rakshith Shetty, Mario Fritz, Bernt Schiele
2018	J	`jnl`	Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. CoRR Rakshith Shetty, Mario Fritz, Bernt Schiele
2018	—	`conf`	Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
2018	J	`jnl`	Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. CoRR Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
2018	J	`jnl`	Image and Video Captioning with Augmented Neural Architectures. IEEE Multim. Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2018	J	`jnl`	Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation. CoRR Rakshith Shetty, Bernt Schiele, Mario Fritz
2017	J	`jnl`	A CoRR Rakshith Shetty, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Can Saliency Information Benefit Image Captioning Models? CoRR Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
2017	A*	`conf`	Paying Attention to Descriptions Generated by Image Captioning Models. ICCV Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
2017	A*	`conf`	Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. ICCV Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. CoRR Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele
2017	C	`conf`	VisualLabel: An Integrated Multimedia Content Management and Access Framework. EJC Iftikhar Ahmad, Petri Rantanen, Pekka Sillberg, Jorma Laaksonen, Shuhua Liu, Thomas Forss, Aqdas Malik, Marko Nieminen, Rakshith Shetty, Satoru Ishikawa, Jarno Kallio, Jukka P. Saarinen, Moncef Gabbouj, Jari Soini
2016	—	`conf`	Exploiting Scene Context for Image Captioning. iV&L-MM@MM Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2016	A*	`conf`	Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. ACM Multimedia Rakshith Shetty, Jorma Laaksonen
2016	J	`jnl`	Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. CoRR Rakshith Shetty, Jorma Laaksonen
2015	J	`jnl`	Video captioning with recurrent networks based on frame- and video-level features and visual content classification. CoRR Rakshith Shetty, Jorma Laaksonen
2013	—	`conf`	Monocular vision based real-time exploration in autonomous rovers. ICACCI Prabhakar Mishra, J. K. Kishore, Rakshith Shetty, Akshay Malhotra, Rahul Kukreja

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.