IMG_2492

Xiaowei Zhou
周晓巍

Research Professor
State Key Lab of CAD & CG
College of Computer Science, Zhejiang University

Email: xzhou AT cad.zju.edu.cn
Address: Mengminwei Building 429, Zijin’gang Campus
Zhejiang University, Hangzhou, China 310058
Resume  Google Scholar


I am looking for students and postdocs with interests in computer vision and robotics.
Please drop me an email if you are interested.


Experiences

Nov.2017 – Now, Research Professor, 1000-Talents Program (Young Professional), Zhejiang University
Feb. 2013 – Oct. 2017, Postdoc, GRASP LaboratoryUniversity of Pennsylvania
Sep. 2008 – Aug. 2013, Ph.D. in Electronic and Computer Engineering, HKUST

Sep. 2004 – Jun. 2008, Bachelor in optical engineering, Zhejiang University

Research interests

Computer vision & robotics
– Object pose estimation & reconstruction
– Image-based human motion capture
– Matching & data association
– Interplay between geometry & deep learning
– Sparse/low-rank models & optimization

Workshop / tutorial

– The 2nd Workshop on Geometry Meets Deep Learning is coming in conjunction with ICCV 2017!
– The 1st Workshop on Geometry Meets Deep Learning, ECCV 2016
– Tutorial on 3D Object Geometry from Single Image, 3DV 2016

Publications
 – Computer vision & robotics

Monocap: Monocular human motion capture using a CNN coupled with a geometric prior.
X. Zhou, M. Zhu, G. Pavlakos, S. Leonardos, K.G. Derpanis, K. Daniilidis
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018. Accepted.

Multi-Image Semantic Matching by Mining Consistent Features.
Q. Wang, X. Zhou, .K Daniilidis
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Ordinal Depth Supervision for 3D Human Pose Estimation.
G. Pavlakos, X. Zhou, K. Daniilidis.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Learning to Estimate 3D Human Pose and Shape from a Single Color Image.
G. Pavlakos, L. Zhu, X. Zhou, K. Daniilidis.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Polar Transformer Networks.
C. Esteves, C. Allen-Blanchette, X. Zhou, K. Daniilidis.
International Conference on Learning Representations (ICLR), 2018.

Human Motion Capture Using a Drone.
X. Zhou
, S. Liu, G. Pavlakos, V.J. Kumar, K. Daniilidis.
IEEE International Conference on Robotics and Automation (ICRA), 2018.

Fast Multi-Image Matching via Density-Based Clustering.
R. Tron, X. Zhou, E. Carlos, K. Daniilidis.
International Conference on Computer Vision (ICCV), 2017.

Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose.
G. Pavlakos, X. Zhou, K. Derpanis, K. Daniilidis.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Harvesting Multiple Views for Marker-less 3D Human Pose Annotations.
G. Pavlakos, X. Zhou, K. Derpanis, K. Daniilidis.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

6-DoF Object Pose from Semantic Keypoints.
G. Pavlakos, X. Zhou, A. Chan, K. Derpanis, K. Daniilidis.

IEEE International Conference on Robotics and Automation (ICRA), 2017.

Distributed Consistent Data Association.
S. Leonardos, X. Zhou, K. Daniilidis.

IEEE International Conference on Robotics and Automation (ICRA), 2017.

Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach.
X. Zhou
, M. Zhu, S. Leonardos, K. Daniilidis.

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2016. Accepted.
PaperProject page | Code | Supplementary

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video.
X. Zhou
, M. Zhu, S. Leonardos, K. Derpanis, K. Daniilidis.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
PaperProject page | Code (updated!) | Supplementary

Articulated Motion Estimation from a Monocular Image Sequence Using Spherical Tangent Bundles.
S. Leonardos, X. Zhou, K. Daniilidis.

IEEE International Conference on Robotics and Automation (ICRA), 2016.

Multi-Image Matching via Fast Alternating Minimization.
X. Zhou
, M. Zhu, K. Daniilidis.

International Conference on Computer Vision (ICCV), 2015.
Oral presentation
PaperProject page | Code | supplementary

Single Image Pop-Up from Discriminatively Learned Parts.
M. Zhu*, X. Zhou*, K. Daniilidis.

International Conference on Computer Vision (ICCV), 2015. *Equal contribution.
PaperProject page

3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach.
X. Zhou
, S. Leonardos, X. Hu, K. Daniilidis.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Oral presentationPaper | Project page | Code

Low-Rank Modeling and its Applications in Image Analysis.
X. Zhou
, C. Yang, H. Zhao, W. Yu.

ACM Computing Surveys (CSUR), 47(2): 36, 2014.
Paper | Project page | Code

Active Contours with Group Similarity.
X. Zhou
, X. Huang, J.S. Duncan, W. Yu.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
PaperProject page | Code

Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation.
X. Zhou
, C. Yang, W. Yu.

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2013.
PaperProject page | Code

Automatic Mitral Leaflet Tracking by Outlier Detection in the Low-rank Representation.
X. Zhou
, C.Yang, W. Yu.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Paper | Code

– Biomedical data analysis

Piecewise-constant and low-rank approximation for identification of recurrent copy number variations.
X. Zhou
, J. Liu, X. Wan, W. Yu.

Bioinformatics, 2014.
Code

Low-Rank Modeling and its Applications in Medical Image Analysis.
X. Zhou
, W. Yu.

SPIE Defense, Security, and Sensing: Signal, Image, and Neural Net Processing, 2013  (Invited paper).

Multi-Sample aCGH Data Analysis via Total Variation and Spectral Regularization.
X. Zhou
, C. Yang, X. Wan, H. Zhao, W. Yu.

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013.
Code

Ultrasound Bio-Microscopic Image Segmentation for Evaluation of Zebrafish Cardiac Function.
X. Zhou
, S. Lei, Y. Yu, C. Lien, K. K. Shung, W. Yu.

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2013.
Code

Identifying Disease-Associated SNP Clusters via Contiguous Outlier Detection.
C. Yang, X. Zhou, X. Wan, Q. Yang, H. Xue and W. Yu.

Bioinformatics, 2011.

Accurate Segmentation of Ultrasound Images Using the Motion Cue.
X. Zhou
, T. Liang, and W. Yu.

International Symposium on Biomedical Imaging (ISBI), 2010.