Carnegie Mellon University
Smith Hall 210
5000 Forbes Avenue
Pittsburgh, PA 15213
E-mail: jiyanpan AT cs DOT cmu DOT edu
Advised by Prof. Takeo Kanade, I graduated with my Ph.D. in Robotics from the School of Computer Science at Carnegie Mellon University in May, 2014. I obtained my M.S. degree in Robotics from CMU in August 2011. Prior to my study and research at CMU, I received my M.S. degree with honor in Electronic Engineering from Fudan University in July 2008. In July 2005, I graduated with a B.S. degree in Electronic Engineering, also from Fudan University.
I was born in Shanghai, the largest and modernest city in China. Before coming to the U.S., I lived in Shanghai for most of the time.
- Computer Vision
- Machine Learning
- Image/Video Processing and Analysis
- Artificial Intelligence
- Research Assistant, Carnegie Mellon University (08/2008-present)
- Research Intern, Microsoft Research (06/2011-08/2011)
- 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)
- Jiyan Pan, and Takeo Kanade, "Coherent Object Detection with 3D Geometric Context from a Single Image," 2013 Intl. Conf. on Computer Vision (ICCV'13), Sydney, Australia, December 2013.
- Jiyan Pan, Ye Chen, Bo Anderson, Pavel Berkhin, and Takeo Kanade, "Effectively Leveraging Visual Context to Detect Texts in Natural Scenes," 2012 Asian. Conf. on Computer Vision (ACCV'12), Daejeon, Korea, November 2012.
- 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. (in Chinese)
- 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, MN, 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, TX, 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.
- 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.
- First Patent Application Invention Achievement Award, IBM Watson Research, 2011
- Qualcomm Innovation Fellowship Finalist, Qualcomm, 2011
- Best Poster Award, IBM 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, CMU Machine Learning course, 2008
- Best Master's Thesis Award in Shanghai, Fudan University, 2008
- First Place, Texas Instrument DSP Competition, Texas Instrument China, 2007
- Coherent Scene Understanding with 3D Geometric Reasoning
Research Assistant @ Carnegie Mellon University
Developing a comprehensive image understanding system that infers and reasons over the 3D geometric relationships among objects and regions so that the system is able to understand the 3D scene behind a single 2D image in a geometrically coherent manner.
- Detecting and Recognizing Texts in Images of Display Ads
Research Intern @ Microsoft Research
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
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 Assistant @ Carnegie Mellon University
Research Intern @ Intel Research Pittsburgh
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
Ph.D. student @ Carnegie Mellon University
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
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
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
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. This was a first-of-its-kind robotic system integrating vision and motion components of NI's LabVIEW platform and products.
- 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
- Piano, singing, western classical music
- Table tennis, angling, cycling, wushu
If we knew what we were doing, it wouldn't be called research, would it? -- Albert Einstein
Computers are incredibly fast, accurate and stupid. Human beings are incredibly slow, inaccurate and brilliant. Together they are powerful beyond imagination. -- Albert Einstein