Tao Yang - RankMe

19 papers A* 4A 1C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	RORem: Training a Robust Object Remover with Human-in-the-Loop. CVPR Ruibin Li, Tao Yang, Song Guo, Lei Zhang
2025	J	`jnl`	RORem: Training a Robust Object Remover with Human-in-the-Loop. CoRR Ruibin Li, Tao Yang, Song Guo, Lei Zhang
2025	A	`conf`	SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. CIKM Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai
2024	J	`jnl`	Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. CoRR Haoyu Zhang, Jun Liu, Zhenhua Zhu, Shulin Zeng, Maojia Sheng, Tao Yang, Guohao Dai, Yu Wang
2024	J	`jnl`	Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data. CoRR Tao Yang, Yangming Shi, Yunwen Huang, Feng Chen, Yin Zheng, Lei Zhang
2024	—	`conf`	Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization. ECCV (11) Tao Yang, Rongyuan Wu, Peiran Ren, Xuansong Xie, Lei Zhang
2024	C	`conf`	SARP: Service-Aware Routing Protocol in Task-Oriented FANET. IPCCC Tao Yang, Wang Yang, Yanbo Wang, Lihuan Hui, Jianwei Yao
2024	A*	`conf`	SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution. CVPR Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, Lei Zhang
2023	A*	`conf`	DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders. ICCV Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie
2023	J	`jnl`	Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization. CoRR Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
2023	J	`jnl`	SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution. CoRR Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, Lei Zhang
2023	J	`jnl`	Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach. CoRR Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
2022	—	`conf`	Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. ECCV Workshops (4) Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Lei Zhang
2022	J	`jnl`	Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. CoRR Tao Yang, Peiran Ren, Xuansong Xie, Xiansheng Hua, Lei Zhang
2022	J	`jnl`	DDColor: Towards Photo-Realistic and Semantic-Aware Image Colorization via Dual Decoders. CoRR Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie
2022	—	`conf`	NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
2022	J	`jnl`	NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.
2021	A*	`conf`	GAN Prior Embedded Network for Blind Face Restoration in the Wild. CVPR Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
2021	J	`jnl`	GAN Prior Embedded Network for Blind Face Restoration in the Wild. CoRR Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang

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.