Wei LIU. First year PhD Student. Department of Computer Science. Stony Brook
University. Stony Brook, NY, 11794, USA. Phone: (+1)412-425-2340. E-mail: ...
Wei LIU First year PhD Student Department of Computer Science Stony Brook University Stony Brook, NY, 11794, USA
Phone: (+1)412-425-2340 E-mail:
[email protected] http://www.cs.sunysb.edu/~weiliu2
Research Interest Computer Vision, Large Scale Object Detection Machine Learning, Stochastic Gradient Descent
Education 2012.9˜Present
PhD Student in Computer Science, Teaching Assistant Stony Brook University (SBU) Adviser: Prof. Alex Berg Current Research Topic: Large Scale Object Recognition and Detection GPA: 3.96/4.0
2011.9˜2012.5
PhD Student in Computer Science, Research Assistant The University of North Carolina at Chapel Hill (UNC) Advisor: Prof. Svetlana Lazebnik Research Topic: Object Detection from Video GPA: 3.9/4.0
2005.9˜2009.7
B.Sc in Computer Science with honor, Nanjing University (NJU), P.R. China. Overall GPA: 86.1/100 Major GPA: 87.9/100
Work Experience 2012.5˜2012.8 2010.9˜2011.7
Research Intern, Core Location Group at WiSE Team of iOS Department, Apple Inc., supervised by Lukas Marti. Research Associate, Language Technologies Institute, Carnegie Mellon University, supervised by Prof. Alexander. G. Hauptmann
2009.9˜2010.8
Research Assistant, Robotic Institute, Carnegie Mellon University, supervised by Prof. Fernando De la Torr.
2008.6˜2009.7
Research Assistant, State Key Laboratory for Novel Software Technology, Nanjing University, China, supervised by Prof. Yubin Yang
Publications Xufeng Han, Wei Liu, Alexander C. Berg. Streaming Online Training for Scalable Multiclass Object Detection. Submitted to ICCV 2013. Zhenzhong Lan, Lei Bao, Shoou-I Yu, Wei Liu and Alexander Hauptmann. Double Fusion for Multimedia Event Detection. MMM 2012. Wei Liu, Alexander G. Hauptmann. A Crowdsourcing Approach to Tracker Fusion. Technique Report, 2011. Huan Li, Lei Bao, Zan Gao, Arnold Overwijk, Wei Liu, Long-fei Zhang, Shoou-I Yu, Ming-yu Chen, Florian Metze and Alexander Hauptmann. Informedia@TRECVID 2010 . TRECVID Video Retrieval Evaluation Workshop, NIST, 2010. Yang Liu, Feng Zhou, Wei Liu, Yan Liu and Fernando De la Torr. Rushes Video Summarization via Dynamic Unsupervised Learning. ACM Multimedia 2010. Yuan Shi, Zhen-zhong Lan, Wei Liu and Wei Bi. Extending Semi-supervised Learning Methods for Inductive Transfer Learning. ICDM 2009.
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Selected Research 2012.8˜Present
Large Scale Object Recognition Advisor: Alex Berg (Stony Brook) Design efficient and accurate algorithm to recognize hundreds of thousands of object categories. Undergoing...
2012.5˜2012.8
Computer Vision on iPhone Advisor: Lukas Marti (Apple Inc.) Work on project related to computer vision on iOS. Project presentation is selected to present to Senior Vice President, Scott Forstall, out of 40 interns.
2011.8˜2012.5
Object Detection from Video Advisor: Svetlana Lazebnik (UNC) Train Deformable Part-based Model using PASCAL dataset, adapt the model for each specific video. Use tracking and segmentation method to help object detection and recognition. Event detection in Internet multimedia Advisor: Alex Hauptmann (CMU) Extract different kinds of visual features, build the bag of words representation for the videos, train the SVM classifier for each event, and fuse the classifiers’ results.
2010.07˜2011.7
2010.4˜2010.12
Tracking people Advisor: Fernando De la Torr, Alex Hauptmann (CMU) Combined many existing trackers’ results, inferred their weights and the ground truth bounding box by combining the particle filter framework and EM algorithm.
2009.12˜2010.3
Video Summarization Collaborator: Yang Liu (CMU) Used an new algorithm, ACA, to segment and cluster video in an unsupervised manner, summarized the video based on the segmentation and clustering results.
2009.5˜2009.8
Semi-supervised and Transfer Learning Collaborator: Yuan Shi (CMU) Developed a new transfer learning method, namely COITL, by extending the cotraining method with transfer learning.
2009.1˜2009.6
Object Categorization Advisor: Yubin Yang (NJU) Incorporated spatial information by designing a new descriptor, Structural Context, which encodes the spatial relationship between interest points.
2008.11˜2008.12
Face Recognition Advisor: Chongjun Wang (NJU) Applied PCA on training face images, selected first 20 eigenfaces, represented each face using the eigenfaces, trained model for every people using SVM.
Selected Projects 2012.8˜Present
Large Scale Object Recognition Advisor: Alex Berg (Stony Brook) Use Selective Search and the like method to explore efficient and accurate algorithm to solve large scale object recognition problem on dataset such as ImageNet.
2012.5˜2012.8
Computer Vision on iPhone Advisor: Lukas Marti (Apple Inc.) Work on research project related to computer vision on iPhone at Apple.
2011.8˜2012.5
Object Detection from Video Advisor: Svetlana Lazebnik (UNC) Use Deformable Part Model learned using PASCAL dataset to detect objects in video.
2010.7˜2011.7
Multimedia Event Detection Advisor: Alex Hauptmann (CMU) Build a system which is able to detect event, such as making a cake. It is trained using 1500 hours of clips with 15 event, and tested on about 3000 hours of clips. http://www.nist.gov/itl/iad/mig/med11.cfm
2010.4˜2010.12
Caremedia Advisor: Fernando De la Torr (CMU) Install a system with 40 cameras at one geriatric center, record videos for 2 weeks every other month, track people and perform action recognition on the videos to help the doctor know more about the patients. Project page http://www.informedia.cs.cmu.edu/caremedia/index.html
2009.9˜2009.12
Grand Challenge Data Collection Project Leader: Jessica Hodgins (CMU) Employed 30 subjects, each of them cooked 5 recipes in the kitchen. Collected data, including video, audio, motion, and so on, and synchronized them. Project page http://kitchen.cs.cmu.edu
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Selected Course Projects 2012.1˜2012.5
Selective Search for Object Detection Instructor: Wei Wang (UNC) Compare Deformable Part Model (DPM) with Selective Search method on object detection problem on PASCAL VOC 2011 dataset.
2011.9˜2011.12
Deep Belief Network Instructor: Vladimir Jojic (UNC) Use Deep Belief Network model to associate Meaning of Word with fMRI image.
2011.9˜2011.12
Motion Planning Instructor: Ron Alterovitz (UNC) Design an algorithm for planning a path to reach a moving object. The idea is to use the predictive re-planning strategy combined with adapted-time stepping method to update the Rapidly-exploring Random Trees (RRTs).
Selected Honors 2013.5˜2013.8
Research Assistantship at Stony Brook University Computer Science Department.
2012.9˜2013.5
Teaching Assistantship at Stony Brook University Computer Science Department.
2012.9˜2013.5
Graduate School Fellowship at Stony Brook University.
2012.9˜2013.5
Special Computer Science Department Fellowship at Stony Brook University.
2012.5 2011.9˜2012.5
Best Poster of Data Mining Course (COMP 722) at UNC. Research Assistantship at UNC Computer Science Department.
Dec. 2008
Excellent Leader of Computer Science Dept. (For leadership, top 1%)
Dec. 2007
1st honor of People’s Scholarship
(For academic achievement, top 1%)
Dec. 2007
Honored Student of Nanjing Univ.
(For comprehensive quality, top 1%)
Sep. 2006
Outstanding Worker in Student Union
(For excellent work, top 1%)
Activity & Skills English Skills Scientific Lang. Other Lang. Hobbies Self-Evaluation
TOEFL iBT: R: 28/30 L: 25/30 S: 23/30 W: 28/30 Total: 104/120 GRE: V: 670/800(95%) Q: 800/800(94%) AW: 3.5/6(26%) Matlab, C/C++, Bash Script, OpenCV, LATEX 2ε Java, C#, ASP, SQL, Prolog, Scheme, VHDL, NS2 Reading, Traveling, Photograph, Biking Persistent, Creative, Hard working, Friendly, Honesty, Cooperative
Reference Prof. Alex Berg, Department of Computer Science, Stony Brook University, Email:
[email protected] Dr. Lukas Marti, Core Location Group at WiSE Team of iOS at Apple Inc., Email:
[email protected] Prof. Svetlana Lazebnik, Department of Computer Science, University of Illinois at Urbana-Champaign, Email:
[email protected] Prof. Alexander G. Hauptmann, Language Technologies Institute, Carnegie Mellon University, Email:
[email protected] Prof. Fernando De la Torre, Robotics Institute, Carnegie Mellon University, Email:
[email protected] Prof. Yubin Yang, Nanjing University, Email:
[email protected]
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