Takao Yamanaka

20 papers B 5Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction. ECCV (29) Atsuya Nakata, Takao Yamanaka
2024	J	`jnl`	2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction. CoRR Atsuya Nakata, Takao Yamanaka
2023	J	`jnl`	Improving NeRF with Height Data for Utilization of GIS Data. CoRR Hinata Aoki, Takao Yamanaka
2023	B	`conf`	Improving Nerf with Height Data for Utilization of GIS Data. ICIP Hinata Aoki, Takao Yamanaka
2023	B	`conf`	Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding. ICIP Kensuke Mukai, Takao Yamanaka
2023	J	`jnl`	Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding. CoRR Kensuke Mukai, Takao Yamanaka
2023	—	`conf`	Increasing Diversity of Omni-Directional Images Generated from Single Image Using cGAN Based on MLPMixer. ACPR (1) Atsuya Nakata, Ryuto Miyazaki, Takao Yamanaka
2023	J	`jnl`	Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixer. CoRR Atsuya Nakata, Ryuto Miyazaki, Takao Yamanaka
2023	J	`jnl`	Multi-Scale Estimation for Omni-Directional Saliency Maps Using Learnable Equator Bias. CoRR Takao Yamanaka, Tatsuya Suzuki, Taiki Nobutsune, Chenjunlin Wu
2023	J	`jnl`	Multi-Scale Estimation for Omni-Directional Saliency Maps Using Learnable Equator Bias. IEICE Trans. Inf. Syst. Takao Yamanaka, Tatsuya Suzuki, Taiki Nobutsune, Chenjunlin Wu
2020	B	`conf`	Omni-Directional Image Generation from Single Snapshot Image. SMC Keisuke Okubo, Takao Yamanaka
2020	J	`jnl`	Omni-Directional Image Generation from Single Snapshot Image. CoRR Keisuke Okubo, Takao Yamanaka
2019	B	`conf`	LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation. FG Reo Ogusu, Takao Yamanaka
2019	J	`jnl`	LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation. CoRR Reo Ogusu, Takao Yamanaka
2018	J	`jnl`	Influence of Image Classification Accuracy on Saliency Map Estimation. CoRR Taiki Oyama, Takao Yamanaka
2018	J	`jnl`	Influence of image classification accuracy on saliency map estimation. CAAI Trans. Intell. Technol. Taiki Oyama, Takao Yamanaka
2018	B	`conf`	Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions. SMC Tatsuya Suzuki, Takao Yamanaka
2018	J	`jnl`	Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions. CoRR Tatsuya Suzuki, Takao Yamanaka
2017	—	`conf`	Fully Convolutional DenseNet for Saliency-Map Prediction. ACPR Taiki Oyama, Takao Yamanaka
2007	J	`jnl`	Concurrent Recording and Regeneration of Visual and Olfactory Information Using Odor Sensor. Presence Teleoperators Virtual Environ. Takao Yamanaka, Nitikarn Nimsuk, Takamichi Nakamoto

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.