Zhengfei Kuang

25 papers A* 7B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors. CVPR Zhengfei Kuang, Tianyuan Zhang, Kai Zhang, Hao Tan, Sai Bi, Yiwei Hu, Zexiang Xu, Milos Hasan, Gordon Wetzstein, Fujun Luan
2025	J	`jnl`	BulletTime: Decoupled Control of Time and Camera Pose for Video Generation. CoRR Yiming Wang, Qihang Zhang, Shengqu Cai, Tong Wu, Jan Ackermann, Zhengfei Kuang, Yang Zheng, Frano Rajic, Siyu Tang, Gordon Wetzstein
2025	J	`jnl`	Envision: Embodied Visual Planning via Goal-Imagery Video Diffusion. CoRR Yuming Gu, Yizhi Wang, Yining Hong, Yipeng Gao, Hao Jiang, Angtian Wang, Bo Liu, Nathaniel S. Dennler, Zhengfei Kuang, Hao Li, Gordon Wetzstein, Chongyang Ma
2025	A*	`conf`	RelitLRM: Generative Relightable Radiance for Large Reconstruction Models. ICLR Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan
2025	J	`jnl`	VULCAN: Tool-Augmented Multi Agents for Iterative 3D Object Arrangement. CoRR Zhengfei Kuang, Rui Lin, Long Zhao, Gordon Wetzstein, Saining Xie, Sanghyun Woo
2025	A*	`conf`	X-Dyna: Expressive Dynamic Human Image Animation. CVPR Di Chang, Hongyi Xu, You Xie, Yipeng Gao, Zhengfei Kuang, Shengqu Cai, Chenxu Zhang, Guoxian Song, Chao Wang, Yichun Shi, Zeyuan Chen, Shijie Zhou, Linjie Luo, Gordon Wetzstein, Mohammad Soleymani
2025	J	`jnl`	X-Dyna: Expressive Dynamic Human Image Animation. CoRR Di Chang, Hongyi Xu, You Xie, Yipeng Gao, Zhengfei Kuang, Shengqu Cai, Chenxu Zhang, Guoxian Song, Chao Wang, Yichun Shi, Zeyuan Chen, Shijie Zhou, Linjie Luo, Gordon Wetzstein, Mohammad Soleymani
2024	J	`jnl`	Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors. CoRR Zhengfei Kuang, Tianyuan Zhang, Kai Zhang, Hao Tan, Sai Bi, Yiwei Hu, Zexiang Xu, Milos Hasan, Gordon Wetzstein, Fujun Luan
2024	A*	`conf`	Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control. NeurIPS Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas J. Guibas, Gordon Wetzstein
2024	J	`jnl`	Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control. CoRR Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas J. Guibas, Gordon Wetzstein
2024	A*	`conf`	Gaussian Shell Maps for Efficient 3D Human Generation. CVPR Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein
2024	J	`jnl`	RelitLRM: Generative Relightable Radiance for Large Reconstruction Models. CoRR Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan
2023	J	`jnl`	Gaussian Shell Maps for Efficient 3D Human Generation. CoRR Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein
2023	A*	`conf`	PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields. CVPR Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli
2023	A*	`conf`	Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. NeurIPS Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
2023	J	`jnl`	Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. CoRR Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
2022	B	`conf`	DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points. ICPR Zhengfei Kuang, Jiaman Li, Mingming He, Tong Wang, Yajie Zhao
2022	J	`jnl`	NeROIC: Neural Rendering of Objects from Online Image Collections. CoRR Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, Sergey Tulyakov
2022	J	`jnl`	NeROIC: neural rendering of objects from online image collections. ACM Trans. Graph. Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, Sergey Tulyakov
2022	J	`jnl`	PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields. CoRR Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli
2021	J	`jnl`	DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points. CoRR Zhengfei Kuang, Jiaman Li, Mingming He, Tong Wang, Yajie Zhao
2021	—	`conf`	Task-Generic Hierarchical Human Motion Prior using VAEs. 3DV Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, Yajie Zhao
2021	J	`jnl`	Task-Generic Hierarchical Human Motion Prior using VAEs. CoRR Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, Yajie Zhao
2020	J	`jnl`	Dynamic Facial Asset and Rig Generation from a Single Scan. CoRR Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li
2020	J	`jnl`	Dynamic facial asset and rig generation from a single scan. ACM Trans. Graph. Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li

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.