Welcome to the personal homepage of Xiang E. Xiang, Ph.D. at JHU-CS!


Xiang Xiang photo

Since 2017 I have moved my homepage to Google Sites for persistent updates in the future. Please refer to https://sites.google.com/view/xxiang for my status quo!
A glance at my interest in emotion & video analysis and feature & stereo matching.
[2016/08] Scheduled to give a presentation at Disney Research Pittsburgh Vision Group meeting.
[2016/07] Having an advising meeting with Gregory Hager, Austin Reiter and Smith Scott to figure out a plan for dissertation work and supportive publication.
[2016/06] Attending Polina's Reading Group at MIT CSAIL.
[2016/05] Attending MACV 2016 with Haibo Wang from Philips Research North America.
[2016/04] Testing the pre-trained VGG_Face deep model.
[2016/02] Continuing working on robust recognition at Philips Research yet with deep features.
[2016/01] Having a retreat full of self-reviews and discussion at Gregory Hager's house. [2015/12] Having a Christmas party at Trac Tran's house.
[2015/11] Testing the pre-trained LSTM deep model on UCF 101.
[2015/05] Joining a UCSD-based startup Emotient. See how deep learning is applied here.
[2015/04] Attending ICASSP in Austrilia for presenting a paper on representation learning with hierachical sparisty and colloborative low-rankness. [Code]
[2014/09] Attending MICCAI in September at MIT & Harvard with Seth, for presenting a paper at the workshop CARE. [PDF] [Code]
[2014/04] Rewritting programs for SRC and CRC. [Code][l1-min package]
[2014/03] Attending the workshop MACV in April at Virginia Tech with Hao Li.
[2014/02] Presenting a poster at the workshop RTCV at UMD after CVPR'14 area chair meeting. [PDF]
[2013/01] ACCV'12 official paper is available at Springer: full paper and one-page summary.

Contact

Information

Education

Honors and

Awards

Hackerman Hall 137A

Computer Science Department

Johns Hopkins University

E-mail: xxiang {@cs.jhu.edu, @jhu.edu}

Baltimore, MD 21218, USA

https://www.linkedin.com/in/jhuxiang

Johns Hopkins University, Baltimore, MD, USA

Ph.D. Candidate in Computer Science, Dec. 2014 - present.

Ph.D. Student in Computer Science, Sept. 2012 - Nov. 2014.

M.S.E. in Computer Science, awarded on Aug. 2014.

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

M.S. in Computer Science, Sept. 2009 - June 2012. Homepage.

Thesis: Human Tracking and Segmentation in Dynamic Scenes. Graduation.

Visiting student at University of Rochester, Rochester, NY, USA, Jan. 2012 - May 2012 Visiting student at University of Tokyo, Tokyo, Japan, June 2010 - Aug. 2010

Wuhan University, Wuhan, Hubei, China

B.S. in Computer Engineering (ranked 2nd/392), minor in Finance, Sept. 2005 - June 2009 Exchange student at Osaka University, Osaka, Japan, Sept. 2008 - Feb. 2009. Graduation.

Selected:

Excellent student at University of Chinese Academy of Sciences 2012 1st Place in VLPR Microsoft Research Asia Innovation Award, 2011 JSPS GCOE Scholarship at University of Tokyo, 2010

Best Presentation Award of FrontierLab@OsakaU Program, 2009 JASSO Scholarship at Osaka University, 2008 - 2009

China's National 2nd Prize in the Intel Cup Embedded System Contest at SJTU, 2008 China Hewlett-Packard Outstanding Student Scholarship, 2008

A-level Scholarship and Excellent Student at Wuhan University (Top 1%), 2006, 2007 China's National 3rd Prize in National High School Mathematical Olympiad, 2001, 2004 Hubei Provincial 1st Prize in China's National High School Physics Olympiad, 2001

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Research

Fields of interest: image processing and machine learning.

Summary

Speciality: 3D and mid/high-level vision techniques for video-based visualization and recognition.

 

Methodology: problem modeling, being handy with novel methods and building useful systems.

Academic

Johns Hopkins University

Experience

Feb. 2014 - present, Exploring sparsity and low rankness for action/event recognition(demo), with Trac Tran.

 

Jan. 2014 - , Connecting stochastic bundle adjustment to visual SLAM (demo), with Gregory Hager.

 

Sept. 2013 - Dec. 2013, OOSE group project: Topic-Oriented Social Network - Topica (live online).

 

Sept. 2013 - Dec. 2013, T.A. for Computer Vision, advised by Rene Vidal.

 

Sept. 2012 - May 2013, R.A. for endoscopic reconstruction (NIH grant), advised by Gregory Hager.

 

Jan. 2013 - May 2013, course project on uncertainty of feature matching (poster), Russell Taylor.

 

Jan. 2013 - May 2013, course project on CRF for stereo matching (poster), advised by Suchi Saria.

 

University of Rochester

 

Jan. 2012 - May 2012, R.A. for phase recognition, T.A. for Computer Vision.

 

Institute of Computing Technology, Chinese Academy of Sciences

 

Apr. 2011 - Dec. 2011, R.A. for human tracking, working with Panasonic Singapore Labs

 

Mar. 2011 - Dec. 2011, R.A. for person re-identification, working with NEC Labs China

 

Sept. 2010 - Feb. 2012, R.A. on porior learning for segmentation, with Xilin Chen and Hong Chang.

 

Feb. 2010 - May 2010, R.A. for texture segmentation (973 project), Xilin Chen and Luhong Liang.

 

Jan. 2010 - May 2010, T.A. for Machine Learning, advised by Hong Chang.

 

University of Tokyo

 

June 2010 - Aug. 2010, R.A. for image registration, advised by Ichiro Sakuma.

 

Osaka University

 

Sept. 2008 - Feb. 2009, R.A. for figure-ground segmentation, advised by Yasushi Yagi.

 

Wuhan University

 

Mar. 2008 - July 2008, R.A: realtime tracking camera (DSP-level), Natl. Embedded System Contest.

 

Feb. 2008 - June 2008, T.A. for Discrete Math.

Publication

Xiang Xiang, Minh Dao, Gregpry D. Hager, Trac D. Tran. Hierarchical Sparse and Collaborative Low-Rank

 

Representation for Emotion Recognition. IEEE ICASSP, Brisbane, Austrilia, 2015.

 

Xiang Xiang, Daniel Mirota, Austin Reiter, Gregory D. Hager: Is Multi-Model Feature Matching

 

Better for Endoscopic Motion Estimation?. CARE of MICCAI 2014, Boston. LNCS, vol. 8899, Springer. [Code]

 

Xiang Xiang, Gregory D. Hager, Daniel Mirota, Russell H. Taylor: Quantitative Endoscopy: Uncer-

 

tainty Analysis of Motion Estimation with Robust Feature Matching. Poster at 2014 Workshop on

 

Recent Trends in Computer Vision (Post CVPR'14 AC meeting workshop), College Park, USA.

 

Xiang Xiang, Hong Chang, Jiebo Luo: Online Web-Data-Driven Segmentation of Selected Mov-

 

ing Objects in Videos. ACCV 2012: 134-146, Daejeon, Korean. [Slides].

 

Xiang Xiang: A Localization Framework under Non-rigid Deformation for Robotic Surgery. ISVC

 

2011: 11-22, Lake Tahoe, USA.

 

Xiang Xiang: An Attempt to Segment Foreground in Dynamic Scenes. ISVC 2011: 124-134.

 

Xiang Xiang, Wenhui Chen, Du Zeng: Intelligent Target Tracking and Shooting System with Mean

 

Shift. ISPA 2008: 417-421, Sydney, Austrilia.

Collaborator

Austin Reiter (JHU), Raman Arora (JHU),

 

Lam Tran (Rochester), Peter Chin (Draper Lab), Akshay Rangamani (JHU), Brody Huval (Stanford),

 

Ian Fasel (Emotient), Javier Movellan (Emotient), Hong Chang (CAS),

 

Saining Xie (UCSD), Xiaodi Hou (Cogtu), Ritwiki Giri (UCSD), Wentao Zhu (Wisconsin-Madison)

Services

Reviewer for IEEE ICIP 2011, 2012, IEEE ICME 2012, IEEE ICRA 2014 and MICCAI 2015.

 

Student memeber of IEEE and IEEE SPS. Volunteer for ACM Multimedia 2009 and ACM ICMI 2010.

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