Baikai Sui

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Detail-Optimized Super-Resolution Reconstruction-Based Multistage Training Strategy for Remote Sensing Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Baikai Sui, Yungang Cao, Haibo Cheng, Shuang Zhang, Jun Zhu, Yakun Xie
2023	J	`jnl`	An Innovative Approach for Effective Removal of Thin Clouds in Optical Images Using Convolutional Matting Model. Remote. Sens. Renzhe Wu, Guoxiang Liu, Jichao Lv, Yin Fu, Xin Bao, Age Shama, Jialun Cai, Baikai Sui, Xiaowen Wang, Rui Zhang
2023	J	`jnl`	BIBED-Seg: Block-in-Block Edge Detection Network for Guiding Semantic Segmentation Task of High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Baikai Sui, Yungang Cao, Xueqin Bai, Shuang Zhang, Renzhe Wu
2023	J	`jnl`	Cloud Detection From High-Resolution Remote Sensing Images Based on Convolutional Neural Networks With Geographic Features and Contextual Information. IEEE Geosci. Remote. Sens. Lett. Yungang Cao, Baikai Sui, Shuang Zhang, Hui Qin
2023	J	`jnl`	Cloud Removal from Satellite Images Using a Deep Learning Model with the Cloud-Matting Method. Remote. Sens. Deying Ma, Renzhe Wu, Dongsheng Xiao, Baikai Sui
2023	J	`jnl`	DF-Mask R-CNN: Direction Field-Based Optimized Instance Segmentation Network for Building Instance Extraction. IEEE Geosci. Remote. Sens. Lett. Shuang Zhang, Yungang Cao, Baikai Sui
2023	J	`jnl`	DTHNet: Dual-Stream Network Based on Transformer and High-Resolution Representation for Shadow Extraction from Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. Shuang Zhang, Yungang Cao, Baikai Sui
2023	J	`jnl`	EGDSR: Encoder-Generator-Decoder Network for Remote Sensing Super-Resolution Reconstruction. IEEE Geosci. Remote. Sens. Lett. Baikai Sui, Yungang Cao, Shuang Zhang
2023	J	`jnl`	IBCO-Net: Integrity-Boundary-Corner Optimization in a General Multistage Network for Building Fine Segmentation From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Yungang Cao, Shuang Zhang, Baikai Sui, Yakun Xie, Jun Zhu
2022	J	`jnl`	REL-SAGAN: Relative Generation Adversarial Network Integrated With Attention Mechanism for Scene Data Augmentation of Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yungang Cao, Baikai Sui, Wei Zhang
2021	J	`jnl`	ECGAN: An Improved Conditional Generative Adversarial Network With Edge Detection to Augment Limited Training Data for the Classification of Remote Sensing Images With High Spatial Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Baikai Sui, Tao Jiang, Zhen Zhang, Xinliang Pan
2020	J	`jnl`	A Modeling Method for Automatic Extraction of Offshore Aquaculture Zones Based on Semantic Segmentation. ISPRS Int. J. Geo Inf. Baikai Sui, Tao Jiang, Zhen Zhang, Xinliang Pan, Chenxi Liu

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.