Resume



Jiyan Pan

Smith Hall 210, 5000 Forbes Avenue, Pittsburgh, PA 15213

Phone: (412) 268-5990

jiyanpan@cs.cmu.edu



General

Advised by Prof. Takeo Kanade, I am a Ph.D. candidate in Robotics Institute, School of Computer Science, Carnegie Mellon University.

My research interests include computer vision, machine learning, image/video processing and analysis, artificial intelligence, and robotics.

Education

• Ph.D. candidate, Robotics Institute, School of Computer Science, Carnegie Mellon University (08/2008 – present)

GPA: 4.00/4.30 Advisor: Prof. Takeo Kanade

• M.Sc. in Robotics, Carnegie Mellon University (08/2008 – 07/2011)

GPA: 4.00/4.00 Advisor: Prof. Takeo Kanade

• M.Sc. in Electronic Engineering, Fudan University (09/2005 – 07/2008)

GPA: 3.50/4.00 Advisor: Prof. Bo Hu

• B.Sc. in Electronic Engineering, Fudan University (09/2001 – 07/2005)

GPA: 3.83/4.00 Advisor: Prof. Bo Hu

Work Experiences

• Research Intern, Microsoft Research (06/2011 – 08/2011)

• Research Assistant, Carnegie Mellon University (08/2008 – present)

• Research Intern, IBM T. J. Watson Research Center (06/2010 – 12/2010)

• Research Intern, Intel Research Pittsburgh (06/2009 – 08/2009)

• Software Engineer Intern, IBM China Development Laboratory (07/2007 – 07/2008)

• Research Assistant, Fudan University (09/2003 – 07/2008)

• R&D Intern, National Instruments China (06/2005 – 08/2005)

Publications

• Jiyan Pan, Quanfu Fan, and Sharathchandra Pankanti, “Robust Abandoned Object Detection using Region-Level Analysis,” 2011 IEEE Int. Conf. on Image Processing (ICIP'11), Brussels, Belgium, September 2011.

• Jiyan Pan, Quanfu Fan, Sharathchandra Pankanti, et al., “Soft Margin Keyframe Comparison: Enhancing Precision of Fraud Detection in Retail Surveillance,” 2011 IEEE Workshop on Applications of Computer Vision (WACV’11), Kona, Hawaii, January 2011.

• Jiyan Pan, Takeo Kanade, and Mei Chen, "Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images," 2010 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’10), San Francisco, CA, June 2010.

• Jiyan Pan, Bo Hu, and Jian Q. Zhang, "Drift-Inhibitive Object Tracking Algorithm," Acta Electronica Sinica, vol. 37, no. 3, pp. 622-627, March 2009.

• Jiyan Pan, Takeo Kanade, and Mei Chen, "Learning to Detect Different Types of Cells under Phase Contrast Microscopy," 2009 Microscopic Image Analysis with Applications in Biology (MIAAB'09), Bethesda, MD, September 2009.

• Jiyan Pan, Bo Hu, and Jian Q. Zhang, "Robust and Accurate Object Tracking under Various Types of Occlusions," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 18, no. 2, pp. 223-236, February 2008.

• Jiyan Pan, and Bo Hu, "Robust Occlusion Handling in Object Tracking," 2007 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’07), pp. 1-8, Minneapolis, Minnesota, June 2007.

• Jiyan Pan, and Bo Hu, "Robust Object Tracking against Template Drift," 2007 IEEE Int. Conf. on Image Processing (ICIP’07), vol. 3, pp. III-353-III-356, San Antonio, Texas, September 2007.

• Jiyan Pan, Bo Hu, and Jian Q. Zhang, "An Efficient Object Tracking Algorithm with Adaptive Prediction of Initial Searching Point," 2006 IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT’06), Lecture Notes in Computer Science, vol. 4319/2006, pp. 1113-1122, Hsinchu, Taiwan, December 2006.

• Jiyan Pan, and Bo Hu, "Adaptive GOF Residual Operation Algorithm in Video Compression," 2005 Int. Conf. on Visual Communications and Image Processing (VCIP’05), Proc. SPIE, vol. 5960, pp. 661-670, Beijing, China, August 2005.

• Patents

➢ Event Detection through Pattern Discovery. U.S. patent application No. 13/213,262.

➢ Modeling of Temporally Static Objects in Surveillance Video Data. U.S. patent application No. 13/220,213.

➢ A Video Compression Algorithm based on Adaptive GOF Residual Operation. China patent No. ZL 200510024305.7.

➢ A Visual Tracking Algorithm based on Adaptive Kalman Selection of Initial Searching Position. China patent No. ZL 200610024305.1.

➢ A Visual Tracking Algorithm Handling Complete Occlusions. China patent No. ZL 200710043465.5.

➢ Effective Drift Inhibition in Visual Tracking. China patent No. ZL 200710045939.X.

➢ Five other patent applications.

Awards

• First Patent Application Invention Achievement Award, IBM Watson Research, 2011

• Best Poster Award, IBM East Fishkill's Fourth Annual Technical Exchange Conference, 2010

• Intel Summer Fellowship, Intel Research Pittsburgh, 2009

• Carnegie Institute of Technology Dean’s Tuition Fellowship, Carnegie Mellon University, 2008

• Best Project Award of CMU Machine Learning course, 2008

• Best Master’s Thesis Award, Shanghai, 2008

• First Place, Texas Instrument DSP Competition, Texas Instrument China, 2007

Projects

• Detecting and Recognizing Texts in Images of Display Ads

Research Intern @ Microsoft Research 06/2011 - 08/2011

Developed algorithms for text detection and recognition in complex images of display ads.

• Object Detection and Segmentation in Public and Retail Surveillance Videos

Research Intern @ IBM T. J. Watson Research Center 06/2010 - 12/2010

Developed algorithms and systems for fraud detection in retail surveillance videos and abandoned object detection in public surveillance videos.

• Detection and Segmentation of Cell Regions in Microscopic Images

Research Intern @ Intel Research Pittsburgh 06/2009 - 08/2009

Research Assistant @ Carnegie Mellon University 09/2009 - 05/2010

Developed a novel heterogeneous CRF model that realizes joint detection and segmentation of cell regions in microscopic images. The proposed model makes it possible to distinguish among individual cells with a CRF by eliminating inherent redundancy while maintaining full expressiveness.

• Cognitive State Classification using Magnetoencephalography Data

Research Assistant @ Carnegie Mellon University 10/2008 - 10/2009

Developed signal processing and machine learning algorithms that successfully decoded human cognitive states from Magnetoencephalography data, and moreover, revealed some important phenomena of human brain activities.

• Intelligent Server Power Management

Software Engineer Intern @ IBM China Development Laboratory 07/2007 - 07/2008

Developed a novel server power management strategy that enables a server to automatically choose optimal throttling settings over time by adaptively learning the relationship between power consumption and CPU throttling states under various workloads. (IBM Invention Disclosure)

• DSP-Based Real-Time Visual Tracking System

Research Assistant @ Fudan University 09/2007 - 04/2008

Developed a real-time visual tracking algorithm tailored to a TI DM642 DSP board. This work successfully fulfilled the requirements of a major national project.

• Visual-Tracking Robot

R&D Intern @ National Instruments China 06/2005 - 08/2005

Developed a robot which could keep its eye (a video camera) gazing at any designated moving object (by rotating the camera) with high robustness and low latency.

Professional Activities

• Reviewer, International Conference on Computer Vision

• Reviewer, IEEE Transactions on Image Processing

• Reviewer, IEEE Transactions on Circuits and Systems for Video Technology

• Reviewer, International Journal of Image and Graphics

• Reviewer, Neurocomputing

• Reviewer, Sensor Letters

• Full Member, Sigma-Xi

• Student Member, IEEE

• Member, IEEE Computer Society

Intercultural & Leadership Activities

• Selected as Chinese Delegate of Forum for American/Chinese Exchange at Stanford (FACES) and participated in On Common Ground 2006 Conferences held at Stanford University and Fudan University

• Selected as Chinese Fellow of Stanford Asia Technology Initiative (Stanford ATI) and organized Stanford ATI Entrepreneurship Conference 2005 at Shanghai International Convention Center

References

• Takeo Kanade, Ph.D.

U.A. and Helen Whitaker University Professor, School of Computer Science, Carnegie Mellon University

Address: Newell-Simon Hall 4119, 5000 Forbes Avenue, Pittsburgh, PA 15213

E-mail: Takeo.Kanade@cs.cmu.edu

Phone: (412) 268-3016

• Eric P. Xing, Ph.D.

Associate Professor, School of Computer Science, Carnegie Mellon University

Address: Gates-Hillman Center 8101, 5000 Forbes Avenue, Pittsburgh, PA 15213

E-mail: epxing@cs.cmu.edu

Phone: (412) 268-2559

• Tom Mitchell, Ph.D.

E. Fredkin University Professor, School of Computer Science, Carnegie Mellon University

Address: Gates-Hillman Center 8211, 5000 Forbes Avenue, Pittsburgh, PA 15213

E-mail: Tom.Mitchell@cmu.edu

Phone: (412) 268-2611

................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download