Qijian Zhang - RankMe

44 papers A* 6B 1C 1Journal 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlexPara: Flexible Neural Surface Parameterization. IEEE Trans. Pattern Anal. Mach. Intell. Yuming Zhao, Qijian Zhang, Junhui Hou, Jiazhi Xia, Wenping Wang, Ying He
2026	J	`jnl`	HuGDiffusion: Generalizable Single-Image Human Rendering via 3D Gaussian Diffusion. IEEE Trans. Vis. Comput. Graph. Yingzhi Tang, Qijian Zhang, Junhui Hou
2026	J	`jnl`	Joint Geometry-Appearance Human Reconstruction in a Unified Latent Space via Bridge Diffusion. CoRR Yingzhi Tang, Qijian Zhang, Junhui Hou
2025	J	`jnl`	FlexPara: Flexible Neural Surface Parameterization. CoRR Yuming Zhao, Qijian Zhang, Junhui Hou, Jiazhi Xia, Wenping Wang, Ying He
2025	J	`jnl`	HuGDiffusion: Generalizable Single-Image Human Rendering via 3D Gaussian Diffusion. CoRR Yingzhi Tang, Qijian Zhang, Junhui Hou
2025	J	`jnl`	Human as Points: Explicit Point-Based 3D Human Reconstruction From Single-View RGB Images. IEEE Trans. Pattern Anal. Mach. Intell. Yingzhi Tang, Qijian Zhang, Yebin Liu, Junhui Hou
2025	J	`jnl`	Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. IEEE Trans. Multim. Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu
2025	J	`jnl`	PointMCD: Boosting Deep Point Cloud Encoders via Multi-View Cross-Modal Distillation for 3D Shape Recognition. IEEE Trans. Multim. Qijian Zhang, Junhui Hou, Yue Qian
2025	J	`jnl`	SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation. CoRR Qijian Zhang, Xiaozheng Jian, Xuan Zhang, Wenping Wang, Junhui Hou
2024	J	`jnl`	Dynamic 3D Point Cloud Sequences as 2D Videos. CoRR Yiming Zeng, Junhui Hou, Qijian Zhang, Siyu Ren, Wenping Wang
2024	J	`jnl`	Dynamic 3D Point Cloud Sequences as 2D Videos. IEEE Trans. Pattern Anal. Mach. Intell. Yiming Zeng, Junhui Hou, Qijian Zhang, Siyu Ren, Wenping Wang
2024	A*	`conf`	Flatten Anything: Unsupervised Neural Surface Parameterization. NeurIPS Qijian Zhang, Junhui Hou, Wenping Wang, Ying He
2024	J	`jnl`	Flatten Anything: Unsupervised Neural Surface Parameterization. CoRR Qijian Zhang, Junhui Hou, Wenping Wang, Ying He
2024	J	`jnl`	ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D Point Clouds. CoRR Qijian Zhang, Junhui Hou, Ying He
2024	J	`jnl`	PointVST: Self-Supervised Pre-Training for 3D Point Clouds via View-Specific Point-to-Image Translation. IEEE Trans. Vis. Comput. Graph. Qijian Zhang, Junhui Hou
2023	J	`jnl`	Bidirectional Propagation for Cross-Modal 3D Object Detection. CoRR Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing
2023	J	`jnl`	Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Qijian Zhang, Junhui Hou, Yue Qian, Yiming Zeng, Juyong Zhang, Ying He
2023	J	`jnl`	GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation. Int. J. Comput. Vis. Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan
2023	J	`jnl`	Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images. CoRR Yingzhi Tang, Qijian Zhang, Junhui Hou, Yebin Liu
2023	A*	`conf`	NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries. NeurIPS Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma, Wenping Wang, Ying He
2023	J	`jnl`	NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries. CoRR Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma, Wenping Wang, Ying He
2023	J	`jnl`	Task-Oriented Compact Representation of 3D Point Clouds via A Matrix Optimization-Driven Network. IEEE Trans. Circuits Syst. Video Technol. Yue Qian, Junhui Hou, Qijian Zhang, Yiming Zeng, Sam Kwong, Ying He
2023	A*	`conf`	Unleash the Potential of Image Branch for Cross-modal 3D Object Detection. NeurIPS Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing
2022	J	`jnl`	Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis. CoRR Qijian Zhang, Junhui Hou, Yue Qian, Yiming Zeng, Juyong Zhang, Ying He
2022	J	`jnl`	GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation. CoRR Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan
2022	A*	`conf`	IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment. CVPR Yiming Zeng, Yue Qian, Qijian Zhang, Junhui Hou, Yixuan Yuan, Ying He
2022	J	`jnl`	IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment. CoRR Yiming Zeng, Yue Qian, Qijian Zhang, Junhui Hou, Yixuan Yuan, Ying He
2022	J	`jnl`	Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. CoRR Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu
2022	J	`jnl`	Multi-View Vision-to-Geometry Knowledge Transfer for 3D Point Cloud Shape Analysis. CoRR Qijian Zhang, Junhui Hou, Yue Qian
2022	J	`jnl`	RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds. Int. J. Comput. Vis. Qijian Zhang, Junhui Hou, Yue Qian, Antoni B. Chan, Juyong Zhang, Ying He
2022	J	`jnl`	Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation. CoRR Qijian Zhang, Junhui Hou
2022	A*	`conf`	WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation. CVPR Yingzhi Tang, Yue Qian, Qijian Zhang, Yiming Zeng, Junhui Hou, Xuefei Zhe
2022	J	`jnl`	WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation. CoRR Yingzhi Tang, Yue Qian, Qijian Zhang, Yiming Zeng, Junhui Hou, Xuefei Zhe
2021	J	`jnl`	Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Image Process. Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong
2020	C	`conf`	Airport Detection Based on Saliency Analysis and Geometric Feature Detection for Remote Sensing Images. IGARSS Wanning Zhu, Qijian Zhang, Libao Zhang
2020	A*	`conf`	CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection. NeurIPS Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, Yao Zhao
2020	J	`jnl`	CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection. CoRR Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, Yao Zhao
2020	J	`jnl`	Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. CoRR Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong
2020	J	`jnl`	MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling. CoRR Yue Qian, Junhui Hou, Yiming Zeng, Qijian Zhang, Sam Kwong, Ying He
2020	J	`jnl`	ParaNet: Deep Regular Representation for 3D Point Clouds. CoRR Qijian Zhang, Junhui Hou, Yue Qian, Juyong Zhang, Ying He
2018	J	`jnl`	A New Smart Mobile System for Chronic Wound Care Management. IEEE Access Shihui Wang, Qijian Zhang, Weihong Huang, Hanzhang Tian, Jianzhong Hu, Yongqiang Cheng, Yonghong Peng
2018	J	`jnl`	Airport Extraction via Complementary Saliency Analysis and Saliency-Oriented Active Contour Model. IEEE Geosci. Remote. Sens. Lett. Qijian Zhang, Libao Zhang, Wenqi Shi, Yue Liu
2018	B	`conf`	Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction. ICIP Qijian Zhang, Wenqi Shi, Libao Zhang, Yue Liu
2017	J	`jnl`	Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network. Remote. Sens. Gang Fu, Changjun Liu, Rong Zhou, Tao Sun, Qijian 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.