Xin Yang (杨欣)  (CV)
Associate Professor
Media and Communication Lab (MC lab)
Electronics and Information Engineering Department
Huazhong University of Science and Technology


Contact
Email: xinyang2014@hust.edu.cn
Office: 1037 Luoyu Road, N1 Hall D425, HUST, Wuhan, China, 430074

     
 
Research Interests: Mobile Computer vision, mobile augmented reality (AR), medical image analysis,  large-scale image retrieval

I am looking for self-motivated students working on mobile computer vision and medical image segmentation. Please email me with your CV if you are interested.
 
 
I am an Associate Professor in the Department of Electronics and Information Engineering at Huazhong University of Science and Technology (HUST). I received my PhD degree in the Department of Electrical and Computer Engineering at UC Santa Barbara in March 2013. I worked under the supervision of Professor Kwang-Ting (Tim) Cheng.

My research interest lies in mobile computer vision, mobile augmented reality (AR) and medical image analysis. My earlier work designed computer vision and AR algorithms which can run in real-time on low power mobile devices, such as smartphones. More specifically, I focus on: 1) designing new light-weight and robust algorithms, 2) adapting existing algorithms to mobile CPU and/or GPU, for fundamental computer vision components, such as feature extraction, recognition and tracking, etc, 3) using mobile hetegeneous parallel computing , and 4) fusing multi-model sensor data (e.g. accelerometer, gyroscope and magnetometer). In the area of medical image analysis, I am especially interested in image segmentation and registration. 


My current projects include:
1. Augmented Reality for Education
2. Simutanous Localization and Mapping (SLAM)
3. Fusing multi-model sensor data for mobile object tracking (collaborated with Prof. Cheng and Prof. Huan, UCSB)
4. Automated comparison of 3D CTA Images (collaborated with Prof. Chien, UCLA Medical School)
5.  Functional analysis in MR Urography images (collaborated with Prof.
Sung, UCLA Medical School)

Previous projects:
1. High quality and ultrafast feature desgin for mobile augmented reality

2. Accelerating SURF detector on mobile devices
3. Mobile image retrieval


Teaching:
[2016 Winter]  Image Analysis and Understanding
[2015 Summer]  Mobile Embedded System: Platforms, Software and Applications
[2015 Fall]  Image Analysis and Understanding

 
  PhD students
      Hung Le Minh                     Zhiwei Wang
Henry      Zhiwei
Master students
    
  Xun Si                                     Tangli Xue                            Liheng Zhang                         Jiabin Guo
Xun                Tangli                Liheng              Jiabin           
      
       Chaoyue Liu                      Yangguang Liu                           Yang Zhou
 Chaoyue Liu              Yangguang               
 
 
Info for Graduate Students
How to do research? from Bill Freeman, CSAIL, MIT, March 6, 2013
How to succeed in graduate school? from Matthew Turk, Computer Science, UCSB
Someguidelines for giving good presentations?
from Matthew Turk, Computer Science, UCSB
Thoughts on getting a PhD?
from Matthew Turk, Computer Science, UCSB


Selected Publications (Full List)

Year 2016
Fusion of Vision and Inertial Sensing for Robust and Real-Time Pose Tracking on Mobile Devices
Xin Yang, Jiabin Guo, Tangli Xue, Tim Cheng
IEEE Transaction on Pattern Recognition and Machine Intelligence (TPAMI), 2016 (under review)

Renal Compartment Segmentation in DCE-MRI Images
Xin Yang, Hung Le Minh, Chaoyu Liu, Tim Cheng, Kyung Hyun Sung, Wenyu Liu
Medical Image Analysis, (MIA) 2016 (accepted)
Impact factor: 3.654

Automatic and Accurate Cerebrovascular Segmentation for Aneurysm Analysis in CTA Images
Xin Yang, Hung Le Minh, Chaoyu Liu, Tim Cheng, Aichi Chien
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2016 (under review)


Inertial-Aided Moving Object Detection from Camera Drone in Strong Parallax Outdoor Enviroments
Chong Huang, Xin Yang, Tim Cheng
ACM Multimedia (MM), 2016 (under review)


Year 2015

Accurate and Efficient Pulse Measurement from Facial Videos on Smartphones
Chong Huang, Xin Yang, Tim Cheng
IEEE Winter
Conference on Applications of Computer Vision (
WACV), 2015

Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones
Xin Yang, Xun Si, Tangli Xue, Liheng Zhang, Tim Cheng
International Symposium on Mixed and Augmented Reality (ISMAR), 2015


Vision-Inertial Hybrid Tracking for Robust and Efficient Augmented Reality on Smartphones
Xin Yang, Xun Si, Tangli Xue, Liheng Zhang, Tim Cheng
ACM Multimedia (MM), 2015


Automatic Segmentation of Renal Compartpaper/MICCAI2015.pdfments in DCE-MRI Images
Xin Yang, Hung Le Minh, Tim Cheng, Kyun Sung
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015


Measurement of Intracranial Aneurysm Growth
Qianyi Yu, Xin Yang, Tim Cheng, F Liang, Aichi Chien
Stroke, 2015
Acceptance rate:  10%, Impact factor: 6.158

OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality
Xin Yang, Xinggang Wang, Tim Cheng
International Conference on Multimedia Modeling (MMM), 2015

Location-Aware Image Classification
Xinggang Wang, Xin Yang, Wenyu Liu, Chen Duan, Longin Latecki
International Conference on Multimedia Modeling (MMM), 2015


Year 2014
Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement
Xin Yang, Tim Cheng and Aichi Chien
Aisian Conference on Computer Vision (ACCV),  2014
Acceptance rate:  27%[pdf]

libLDB: A Library for Extracting Ultrafast and Distinctive Binary Feature Description
Xin Yang, Chong Huang and Tim Cheng
ACM International Conference on Multimedia (MM), Open Source Software Competition, 2014.
Project Website


Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation
Xin Yang, Tim Cheng and Aichi Chien
International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, Aug 24-28, 2014.

Local Difference Binary for Ultra-fast and Distinctive Feature Description

Xin Yang and Tim Cheng
IEEE Transaction on Pattern Recognition and Machine Intelligence
(
TPAMI), 2014.
Impact factor: 4.795

Learning Optimized Local Difference Binary for Scalable Augmented Realtiy on Mobile Devices
Xin Yang and Tim Cheng
IEEE Transaction on Visualization and Computer Graphics
(TVCG), 2014.
Impact factor: 2.215

Year 2012

LDB: An Ultra-Fast Feature for Scalable Augmened Reality on Mobile Device
Xin Yang and Tim Cheng
International Symposium on Mixed and Augmented Reality (
ISMAR), Atlanta, Georgia, Novermber 5-8, 2012.
Oral presentation
; Acceptance rate:  18% [pdf]
ISMAR Best Paper Nomination, 2012

Accelerating SURF Detector on Mobile Devices
Xin Yang and Tim Cheng
ACM International Conference on Multimedia
(MM), Nara, Japan, October 29-31, 2012
Oral presentation;  Acceptance rate:  20.2% [pdf]

 
     
 

 

copyright 2014 by Xin Yang
Last update: 9/6/2014