Yan Yan

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Yan Yan, Ph.D.
Assistant Professor
Department of Computer Science
Texas State University

Office: Comal 307G, 601 University Drive, San Marcos, TX 78666
Phone: 512-245-7523
Email: tom_yan@txstate.edu

Research Area: Computer Vision, Machine Learning, Multimedia
[CV] [GoogleScholar]

About Me

Dr. Yan Yan is currently a Tenure-track Assistant Professor of Computer Science at the Texas State University. He was a research fellow at the University of Michigan (2016-2017) with Prof. Jason J. Corso and at the University of Trento (2014-2016) with Prof. Nicu Sebe. He received his Ph.D. in Computer Science at the University of Trento (2014) and M.S. at the Georgia Institute of Technology (2010) and Shanghai Jiao Tong University (2010). He was a visiting scholar with Dr. Alexander G. Hauptmann (2013) at the Carnegie Mellon University and a visiting research fellow with Dr. Stefan Winkler (2015) at the Advanced Digital Sciences Center (ADSC), UIUC, Singapore. He has published 60+ research papers in the fields of computer vision, machine learning and multimedia. He received IBM Best Student Paper Award in ICPR 2014 and Best Paper Award in ACM Multimedia 2015. He has been served as PC members for several major conferences and reviewers for referred journals in computer vision and multimedia. He also served as a guest editor in TPAMI, CVIU and TOMM.

Opening Positions

  • I am always looking for self-motivated graduate students and visiting students/scholars in the fileds of computer vision, multimedia and machine learning. Feel free to contact me with your CV.

  • For prospective PhD students, you will find Texas State University Computer Science PhD program application information HERE

Texas State University is located in Greater Austin Area, Texas. It is an Emerging Research University with more than 38,000 enrolled students. It is an Equal Opportunity and Affirmative Action Employer and encourages applications from women and minority candidates. The computer science department enjoys a friendly atmosphere and is housed in a newly renovated building equipped with the latest technology. The open-spaced campus is beautifully located in the Hill Country yet is only 45 minutes from either Austin or San Antonio, both of which are home to some of the largest IT companies and have international airports. The cost of living is very reasonable, and the climate is good year around.

News

  • Dr. Yan Yan joined Texas State University as a tenure-track assitant professor.

Selected Publications [Full Publications]

CVPR/ICCV/ECCV/TPAMI/IJCV/ACM MM are considered as highly selective conferences and journals in computer vision and multimedia.

[1] Y. Yan, C. Xu, D. Cai, J. Corso, “ Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking”, International Conference on Computer Vision and Pattern Recognition (CVPR), 2017

[2] Y. Yan, E. Ricci, R. Subramanian, G. Liu, O. Lanz, N. Sebe, “A Multi-task Learning Framework for Head Pose Estimation under Target Motion”, IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), volume 38, No 6, 2016, 1070-1083

[3] Y. Yan, B. Ni, Z. Song, C. Ma, Y. Yan, X. Yang, “Person Re-Identification via Recurrent Feature Aggregation”, In European Conference on Computer Vision (ECCV), 2016

[4] W. Wang, Z. Cui, Y. Yan, J. Feng, N. Nicu, S. Yan, X. Shu, “ Recurrent Face Aging”, International Conference on Computer Vision and Pattern Recognition (CVPR), 2016

[5] X. Alameda-Pineda, E. Ricci, Y. Yan, N. Sebe, “Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion ”, International Conference on Computer Vision and Pattern Recognition (CVPR), 2016

[6] G. Lu, Y. Yan, L. Ren, J. Song, N. Sebe, C. Kambhamettu, “Localize me Anywhere, Anytime: A Multi-task Point-Retrieval Approach”, International Conference on Computer Vision (ICCV), 2015

[7] L. Gao, J. Song, F. Nie, Y. Yan, N. Sebe, H. Shen: “Optimal Graph Leaning with Partial Tags and Multiple Features for Image and Video Annotation”, International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

[8Y. Yan, E. Ricci, R. Subramanian, O. Lanz, N. Sebe, “No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion”, International Conference on Computer Vision (ICCV), 2013

[9] X. Alameda-Pineda, Y. Yan, E. Ricci, O. Lanz, N. Sebe: “Analyzing Free-standing Conversational Groups: a Multimodal Approach”, In ACM Multimedia (ACM MM), 2015 (Best Paper Award)

[10Y. Yan, E. Ricci, G. Liu, N. Sebe, “Egocentric Daily Activity Recognition via Multitask Clustering”, IEEE Transactions on Image Processing (TIP), volume 24, No 10, 2015, 2984-2995.

[11Y. Yan, Y. Yang, D. Meng, G. Liu, W. Tong, A. Hauptmann, N. Sebe, “Event Oriented Dictionary Learning for Complex Event Detection”, IEEE Transactions on Image Processing (TIP), volume 24, No 6, 2015, 1867-1878.

[12] Y. Yan, E. Ricci, R. Subramanian, G. Liu, N. Sebe: “Multi-task Linear Discriminant Analysis for Multi-View Action Recognition”, IEEE Transactions on Image Processing (TIP), volume 23, No 12, 2014, 5599-5611