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Zihan Zhou

Chief Scientist
Manycore Tech Inc.

515 Yuhangtang Rd., Building 1, Floor 11
Hangzhou, Zhejiang, P. R. China
Email: x@qunhemail.com where x = shuer
CV | Google Scholar | DBLP | Github


About Me

I am currently the chief scientist at Manycore Tech Inc.. From 2013 to 2021, I was a research associate and then an assistant professor in the College of Information Sciences and Technology at Penn State University. I completed my Ph.D in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign in 2013. I was supervised by Prof. Yi Ma. I received my Bachelor Degree in Automation from Tsinghua University, China, and Master Degree in ECE from UIUC, respectively.

My research interest lies in the broad area of computer vision, machine learning, signal processing, and applied data sciences. I am particularly focusing on 3D Vision. Specifically, I develop novel computational tools to model and analyze the 3D environments from big visual data, and apply them to solve challenging real-world problems in computer-aided design, VR/AR, social media, and more.

What's New?


Publications

SpatialLM: Training Large Language Models for Structured Indoor Modeling
Yongsen Mao*, Junhao Zhong*, Chuan Fang, Jia Zheng, Rui Tang, Hao Zhu, Ping Tan, and Zihan Zhou
NeurIPS, 2025.
[paper][project][code][model/data]

From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach
Xilin Wang*, Jia Zheng*, Yuanchao Hu, Hao Zhu, Qian Yu, and Zihan Zhou
AAAI, 2025.
[paper][project]

NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
Rui Yu*, Jiachen Liu*, Zihan Zhou, and Sharon X. Huang
ICRA, 2024.
[paper]

PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs
Wentao Hu, Jia Zheng, Zixin Zhang, Xiaojun Yuan, Jian Yin, and Zihan Zhou
ICCV, 2023.
[paper][project][code]

Two-stage Content-Aware Layout Generation for Poster Designs
Shang Chai, Liansheng Zhuang, Fengying Yan, and Zihan Zhou
ACM MM, 2023.
[paper]

Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
Jia Zheng, Yifan Zhu, Kehan Wang, Qiang Zou, and Zihan Zhou
arXiv:2209.02692, 2022.
[paper][project]

End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement
Jiachen Liu, Yuan Xue, Jose Duarte, Krishnendra Shekhawat, Zihan Zhou, and Xiaolei Huang
ECCV, 2022.
[paper]

Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
Kehan Wang, Jia Zheng, and Zihan Zhou
CVPR, 2022.
[paper][project][code]

Deep Depth from Focus with Differential Focus Volume
Fengting Yang, Xiaolei Huang, and Zihan Zhou
CVPR, 2022.
[paper][code]

Iterative Design and Prototyping of Computer Vision Mediated Remote Sighted Assistance
Jingyi Xie, Madison Reddie, Sooyeon Lee, Syed M. Billah, Zihan Zhou, Chun-Hua Tsai, and John M. Carroll
ACM ToCHI, 2022.
[paper]

Towards Robust Human Trajectory Prediction in Raw Videos
Rui Yu, and Zihan Zhou
IROS, 2021.
[paper][code]

Neural Wireframe Renderer: Learning Wireframe to Image Translations
Yuan Xue, Zihan Zhou, and Xiaolei Huang
ECCV, 2020.
[paper][code]

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Jia Zheng*, Junfei Zhang*, Jing Li, Rui Tang, Shenghua Gao, and Zihan Zhou
ECCV, 2020.
[paper][project][code]

Data-driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu, and Zihan Zhou
IROS, 2020.
[paper]

Superpixel Segmentation with Fully Convolutional Networks
Fengting Yang, Qian Sun, Hailin Jin, and Zihan Zhou
CVPR, 2020.
[paper] [code]

Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu*, Jia Zheng*, Dongze Lian, Zihan Zhou, and Shenghua Gao
CVPR, 2019.
[paper] [code/data]

Recovering 3D Planes from a Single Image via Convolutional Neural Networks
Fengting Yang and Zihan Zhou
ECCV, 2018.
[paper] [supp. material] [code/data]

Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, and Yi Ma
CVPR, 2018.
[paper] [supp. material] [code/data]

Discovering Triangles in Protraits for Supporting Photographic Creation
Siqiong He, Zihan Zhou, Farshid Farhat, and James Z. Wang
TMM, 2018.
[paper]

Beyond Saliency: Assessing Visual Balance with High-Level Cues
Baris Kandemir, Zihan Zhou, Jia Li, and James Z. Wang
ACM MM engagement workshop, 2017.
[paper]

Detecting Dominant Vanishing Points In Natural Scenes with Application to Composition-Sensitive Image Retrieval
Zihan Zhou, Farshid Farhat, and James Z. Wang
TMM, 2017.
[paper][project][code]

Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement
Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, and C. Lee Giles
ICDAR, 2017.
[paper]

Learning to Read Irregular Text with Attention Mechanisms
Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, and C. Lee Giles
IJCAI, 2017.
[paper]

Label Information Guided Graph Construction for Semi-Supervised Learning
Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, and Yi Ma
TIP, 2017.
[paper]

Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
Xiao Yang, Dafang He, Wenyi Huang, Alexander Ororbia, Zihan Zhou, Daniel Kifer, and C. Lee Giles
JCDL short paper, 2017.
[paper]

Multi-scale FCN with Instance Aware Segmentation for Arbitrary Oriented Word Spotting In The Wild
Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander Ororbia, Daniel Kifer, and C. Lee Giles
CVPR, 2017.
[paper]

Robust Plane-based Calibration of Multiple Non-Overlapping Cameras
Chen Zhu, Zihan Zhou, Ziran Xing, Yanbing Dong, Yi Ma, and Jingyi Yu
3DV, 2016.
[paper]

Aggregating Local Context for Accurate Scene Text Detection
Dafang He, Xiao Yang, Wenyi Huang, Zihan Zhou, Daniel Kifer, and C. Lee Giles
ACCV, 2016.
[paper]

Detecting Arbitrary Orientated Text in the Wild with a Visual Attention Model
Wenyi Huang, Dafang He, Xiao Yang, Zihan Zhou, Daniel Kifer, and C. Lee Giles
ACM MM short paper, 2016.
[paper]

Modeling Perspective Effects in Photographic Composition
Zihan Zhou, Siqiong He, Jia Li, and James Z. Wang
ACM MM, 2015.
[paper]

Fast L1-Minimization Algorithms For Robust Face Recognition
Allen Yang, Zihan Zhou, Arvind Ganesh, Shankar Sastry, and Yi Ma
TIP, 2013.
[paper] [code]

Plane-Based Content-Preserving Warps for Video Stabilization
Zihan Zhou, Hailin Jin, and Yi Ma
CVPR, 2013.
[paper] [project]

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Liansheng Zhuang, Allen Yang, Zihan Zhou, Shankar Sastry, and Yi Ma
CVPR, 2013.
[paper]

Robust Plane-Based Structure From Motion
Zihan Zhou, Hailin Jin, and Yi Ma
CVPR, 2012.
[paper]

Towards a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation
Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, and Yi Ma
TPAMI, 2012.
[paper][project]

Holistic Reconstruction of Urban Structures from Low-rank Textures
Hossein Mobahi, Zihan Zhou, Allen Yang, and Yi Ma
ICCV workshop on 3D representation and recognition, 2011.
[paper]

Towards a Robust Face Recognition System using Compressive Sensing
Allen Yang, Zihan Zhou, Yi Ma, and Shankar Sastry
InterSpeech, 2010.
[paper]

Stable Principal Component Pursuit
Zihan Zhou, Xiaodong Li, John Wright, Emmanuel Candes, and Yi Ma
ISIT, 2010.
[paper][project]

Face Recognition with Contiguous Occlusion using Markov Random Fields
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, and Yi Ma
ICCV, 2009.
[paper]

Towards a Practical Face Recognition System: Robust Registration and Illumination via Sparse Representation
Andrew Wanger, John Wright, Arvind Ganesh, Zihan Zhou, and Yi Ma
CVPR, 2009.
[paper]

Separation of A Subspace-Sparse Signal: Algorithms and Conditions
Arvind Ganesh, Zihan Zhou, and Yi Ma
ICASSP, 2009.
[paper]

Nearest-Subspace Patch Matching for Face Recognition Under Varying Pose and Illumination
Zihan Zhou, Arvind Ganesh, John Wright, Shen-Fu Tsai, and Yi Ma
FG, 2008.
[paper]


Dissertation, Thesis, and Book Chapter

Professional Activities