Tae-Young Chung

14 papers A* 1B 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	N-RPN: Hard Example Learning for Region Proposal Networks. CoRR MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee
2022	J	`jnl`	NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. CoRR MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee
2022	J	`jnl`	SSAT: Self-Supervised Associating Network for Multiobject Tracking. IEEE Trans. Circuits Syst. Video Technol. Tae-Young Chung, MyeongAh Cho, Heansung Lee, Sangyoun Lee
2020	J	`jnl`	AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map. CoRR Joosung Lee, Sang-Won Hwang, Kyungjae Lee, Woo Jin Kim, Junhyeop Lee, Tae-Young Chung, Sangyoun Lee
2020	A*	`conf`	AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation. CVPR Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee
2020	J	`jnl`	CRVOS: Clue Refining Network for Video Object Segmentation. CoRR Suhwan Cho, MyeongAh Cho, Tae-Young Chung, Heansung Lee, Sangyoun Lee
2020	B	`conf`	Crvos: Clue Refining Network For Video Object Segmentation. ICIP Suhwan Cho, MyeongAh Cho, Tae-Young Chung, Heansung Lee, Sangyoun Lee
2020	J	`jnl`	Multi-object tracking with self-supervised associating network. CoRR Tae-Young Chung, Heansung Lee, MyeongAh Cho, Suhwan Cho, Sangyoun Lee
2019	J	`jnl`	Learning Spatial Transform for Video Frame Interpolation. CoRR Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee
2019	B	`conf`	N-RPN: Hard Example Learning For Region Proposal Networks. ICIP MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee
2019	—	`conf`	NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. ICB MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee
2017	J	`jnl`	Towards a Realistic Indoor World Reconstruction: Preliminary Results for an Object-Oriented 3D RGB-D Mapping. Intell. Autom. Soft Comput. ChangHyun Jun, Jaehyeon Kang, Suyong Yeon, Hyunga Choi, Tae-Young Chung, Nakju Lett Doh
1999	J	`jnl`	A 2.5-V, 333-Mb/s/pin, 1-Gbit, double-data-rate synchronous DRAM. IEEE J. Solid State Circuits Hongil Yoon, Gi-Won Cha, Changsik Yoo, Nam-Jong Kim, Keum-Yong Kim, Chang Ho Lee, Kyu-Nam Lim, Kyuchan Lee, Jun-Young Jeon, Tae Sung Jung, Hongsik Jeong, Tae-Young Chung, Kinam Kim, Soo-In Cho
1989	J	`jnl`	An experimental 16-Mbit DRAM with reduced peak-current noise. IEEE J. Solid State Circuits Daeje Chin, Changhyun Kim, Yunho Choi, Dong-Sun Min, Hong-Sun Hwang, Hoon Choi, Soo-In Cho, Tae-Young Chung, Chan J. Park, Yunseung Shin, Kwang Pyuk Suh, Yong E. Park

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.