Yan Yan
Gladwin Development Chair Assistant Professor
Department of Computer Science
Illinois Institute of Technology
office: Stuart Building Room 237C
email: yyan34 [AT] iit.edu
In Fall 2022 and Spring 2023, I have multiple openings for postdocs and Ph.D students in the fileds of computer vision, biomedical image analysis, multimedia and machine learning. Feel free to contact me with your CV.
Bio
Dr. Yan Yan is currently a Gladwin Development Chair Assistant Professor in the Department of Computer Science at Illinois Institute of Technology. He was an assistant professor at the Texas State University, a research fellow at the University of Michigan and the University of Trento. He received his Ph.D. in Computer Science at the University of Trento and M.S. at the Georgia Institute of Technology and Shanghai Jiao Tong University. He was a visiting scholar at the Carnegie Mellon University and the Advanced Digital Sciences Center (ADSC), UIUC, Singapore. He has published 100+ 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 an associate editor in Neurocomputing and guest editors in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Computer Vision and Image Understanding (CVIU) and ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). In recent years, Dr. Yan's research has been funded by NIH, NSF, NIST, Cisco, Snap, AMD, Nvidia, etc. Know more information please check the CVM-LAB.
Publications
Most recent publications on Google Scholar.
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents.
Y. Zhu, Y. Wu, Y. Yang, Y. Yan
ECCV 2020
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression.
C. Blakeney, X. Li, Y. Yan, Z. Zong
IEEE Transactions on Parallel and Distributed Systems, 2020
A Weakly Supervised Multi-task Ranking Framework for Actor-Action Semantic Segmentation.
Y. Yan, C. Xu, D. Cai, J. Corso
International Journal of Computer Vision, 2020
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation.
H. Tang, D. Xu, Y. Yan, P. Torr, N. Sebe
CVPR 2020
Recurrent face aging with hierarchical autoregressive memory.
W. Wang, Y. Yan, Z. Cui, J. Feng, S. Yan, N. Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Flexible Manifold Learning With Optimal Graph for Image and Video Representation.
W. Wang, Y. Yan, F. Nie, S. Yan, N. Sebe
IEEE Transactions on Image Processing, 2019
Dual Attention Matching for Audio-Visual Event Localization.
Y. Wu, L. Zhu, Y. Yan, Y. Yang
ICCV 2019
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation.
H. Tang, D. Xu, Y. Wang, J. Corso, N. Sebe, Y. Yan
CVPR 2019
A bottom-up clustering approach to unsupervised person re-identification.
Y. Lin, X. Dong, L. Zheng, Y. Yan, Y. Yang
AAAI 2019
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild.
H. Tang, W. Wang, D. Xu, Y. Yan, N. Sebe
ACM Multimedia 2018 (Best Paper Award Candidate)
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking.
Y. Yan, C. Xu, D. Cai, J. Corso
CVPR 2017
A Multi-task Learning Framework for Head Pose Estimation under Target Motion
Y. Yan, E. Ricci, R. Subramanian, G. Liu, O. Lanz, N. Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation.
J. Song, L. Gao, F. Nie, H. Shen, Y. Yan, N. Sebe
IEEE Transactions on Image Processing, 2016
Category Specific Dictionary Learning for Attribute Specific Feature Selection.
W. Wang, Y. Yan, S. Winkler, N. Sebe
IEEE Transactions on Image Processing, 2016
Fortune Teller: Predicting Your Career Path
Y. Liu, L. Zhang, L. Nie, Y. Yan, D. Rosenblum
AAAI 2016
Recurrent Face Aging
W. Wang, Z. Cui, Y. Yan, J. Feng, N. Sebe, X. Shu, S. Yan
CVPR 2016
Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion
X. Alameda-Pineda, E. Ricci, Y. Yan, N. Sebe
CVPR 2016
Person Re-Identification via Recurrent Feature Aggregation
Y. Yan, B. Ni, Z. Song, C. Ma, Y. Yan, X. Yang
ECCV 2016
Egocentric Daily Activity Recognition via Multitask Clustering.
Y. Yan, E. Ricci, G. Liu, N. Sebe
IEEE Transactions on Image Processing, 2015
Event Oriented Dictionary Learning for Complex Event Detection.
Y. Yan, Y. Yang, D. Meng, G. Liu, W. Tong, A. Hauptmann, N. Sebe
IEEE Transactions on Image Processing, 2015
Analyzing Free-standing Conversational Groups: a Multimodal Approach.
X. Alameda-Pineda, Y. Yan, E. Ricci, O. Lanz, N. Sebe
ACM Multimedia 2015 (Best Paper Award)
Inferring Painting Style with Multi-task Dictionary Learning.
G. Liu, Y. Yan, E. Ricci, Y. Yang, Y. Han, S. Winkler, N. Sebe
IJCAI 2015
Looking at Mondrian’s Victory Boogie-Woogie: What do I feel?
A. Sartori, Y. Yan, G. Ozbal, A. A. Salah, N. Sebe
IJCAI 2015
Localize me Anywhere, Anytime: A Multi-task Point-Retrieval Approach
G. Lu, Y. Yan, L. Ren, J. Song, N. Sebe, C. Kambhamettu
ICCV 2015
Optimal Graph Leaning with Partial Tags and Multiple Features for Image and Video Annotation.
L. Gao, J. Song, F. Nie, Y. Yan, N. Sebe, H. Shen
CVPR 2015
Complex Event Detection via Event Oriented Dictionary Learning
Y. Yan, Y. Yang, H. Shen, D. Meng, G. Liu, A. Hauptmann, N. Sebe
AAAI 2015
Multitask linear discriminant analysis for view invariant action recognition.
Y. Yan, E. Ricci, R. Subramanian, G. Liu, N. Sebe
IEEE Transactions on Image Processing, 2014
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition.
Y. Yan, E. Ricci, G. Liu, R. Subramanian, N. Sebe
ICPR 2014 (IBM Best Student Paper Award)
No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion.
Y. Yan, E. Ricci, R. Subramanian, O. Lanz, N. Sebe
ICCV 2013
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents.
Y. Zhu, Y. Wu, Y. Yang, Y. Yan
ECCV 2020
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression.
C. Blakeney, X. Li, Y. Yan, Z. Zong
IEEE Transactions on Parallel and Distributed Systems, 2020
A Weakly Supervised Multi-task Ranking Framework for Actor-Action Semantic Segmentation.
Y. Yan, C. Xu, D. Cai, J. Corso
International Journal of Computer Vision, 2020
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation.
H. Tang, D. Xu, Y. Yan, P. Torr, N. Sebe
CVPR 2020
Recurrent face aging with hierarchical autoregressive memory.
W. Wang, Y. Yan, Z. Cui, J. Feng, S. Yan, N. Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Flexible Manifold Learning With Optimal Graph for Image and Video Representation.
W. Wang, Y. Yan, F. Nie, S. Yan, N. Sebe
IEEE Transactions on Image Processing, 2019
Dual Attention Matching for Audio-Visual Event Localization.
Y. Wu, L. Zhu, Y. Yan, Y. Yang
ICCV 2019
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation.
H. Tang, D. Xu, Y. Wang, J. Corso, N. Sebe, Y. Yan
CVPR 2019
A bottom-up clustering approach to unsupervised person re-identification.
Y. Lin, X. Dong, L. Zheng, Y. Yan, Y. Yang
AAAI 2019
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild.
H. Tang, W. Wang, D. Xu, Y. Yan, N. Sebe
ACM Multimedia 2018 (Best Paper Award Candidate)
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking.
Y. Yan, C. Xu, D. Cai, J. Corso
CVPR 2017
A Multi-task Learning Framework for Head Pose Estimation under Target Motion
Y. Yan, E. Ricci, R. Subramanian, G. Liu, O. Lanz, N. Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation.
J. Song, L. Gao, F. Nie, H. Shen, Y. Yan, N. Sebe
IEEE Transactions on Image Processing, 2016
Category Specific Dictionary Learning for Attribute Specific Feature Selection.
W. Wang, Y. Yan, S. Winkler, N. Sebe
IEEE Transactions on Image Processing, 2016
Fortune Teller: Predicting Your Career Path
Y. Liu, L. Zhang, L. Nie, Y. Yan, D. Rosenblum
AAAI 2016
Recurrent Face Aging
W. Wang, Z. Cui, Y. Yan, J. Feng, N. Sebe, X. Shu, S. Yan
CVPR 2016
Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion
X. Alameda-Pineda, E. Ricci, Y. Yan, N. Sebe
CVPR 2016
Person Re-Identification via Recurrent Feature Aggregation
Y. Yan, B. Ni, Z. Song, C. Ma, Y. Yan, X. Yang
ECCV 2016
Egocentric Daily Activity Recognition via Multitask Clustering.
Y. Yan, E. Ricci, G. Liu, N. Sebe
IEEE Transactions on Image Processing, 2015
Event Oriented Dictionary Learning for Complex Event Detection.
Y. Yan, Y. Yang, D. Meng, G. Liu, W. Tong, A. Hauptmann, N. Sebe
IEEE Transactions on Image Processing, 2015
Analyzing Free-standing Conversational Groups: a Multimodal Approach.
X. Alameda-Pineda, Y. Yan, E. Ricci, O. Lanz, N. Sebe
ACM Multimedia 2015 (Best Paper Award)
Inferring Painting Style with Multi-task Dictionary Learning.
G. Liu, Y. Yan, E. Ricci, Y. Yang, Y. Han, S. Winkler, N. Sebe
IJCAI 2015
Looking at Mondrian’s Victory Boogie-Woogie: What do I feel?
A. Sartori, Y. Yan, G. Ozbal, A. A. Salah, N. Sebe
IJCAI 2015
Localize me Anywhere, Anytime: A Multi-task Point-Retrieval Approach
G. Lu, Y. Yan, L. Ren, J. Song, N. Sebe, C. Kambhamettu
ICCV 2015
Optimal Graph Leaning with Partial Tags and Multiple Features for Image and Video Annotation.
L. Gao, J. Song, F. Nie, Y. Yan, N. Sebe, H. Shen
CVPR 2015
Complex Event Detection via Event Oriented Dictionary Learning
Y. Yan, Y. Yang, H. Shen, D. Meng, G. Liu, A. Hauptmann, N. Sebe
AAAI 2015
Multitask linear discriminant analysis for view invariant action recognition.
Y. Yan, E. Ricci, R. Subramanian, G. Liu, N. Sebe
IEEE Transactions on Image Processing, 2014
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition.
Y. Yan, E. Ricci, G. Liu, R. Subramanian, N. Sebe
ICPR 2014 (IBM Best Student Paper Award)
No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion.
Y. Yan, E. Ricci, R. Subramanian, O. Lanz, N. Sebe
ICCV 2013
Projects
Teaching
CS 584: Machine Learning, Fall 2022CS 595: Advanced Topics on Computer Vision and Multimedia, Spring 2022
CS 584: Machine Learning, Fall 2021
CS 584: Machine Learning, Spring 2021
Members
Computer Vision and Multimedia Lab on CVM-LAB
Bin Duan (Fall 2019-current, B.S.: Lanzhou University)
Ye Zhu (Fall 2019-current, B.S./M.S.: Shanghai Jiao Tong University)
Yuzhang Shang (Fall 2021-current, B.S.: Wuhan University)
Bin Xie (Fall 2021-current, M.S.: IIT)
Changchang Sun (Fall 2021-current, B.S./M.S.: Shandong University)
Zhenghao Zhao (Fall 2022-current, M.S.: IIT)
Weitai Kang (Fall 2022-current, B.S.: Sun Yat-sen University)
Mark Leischner (Part-time, Fall 2021-current, working at Google)
Keshav Bhandari (txstate, Fall 2018-current, B.S.: Tribhuvan University)
Jianyuan Ni (txstate, co-supervise, Fall 2020-current)
Alumni:
Gaowen Liu (Postdoc 2018-2020, First Employment: Research Scientist at Cisco Research)
Keshav Bhandari (PhD 2018-2022, First Employment: Senior Scientist at Telsa)
Jorge Cervera Perez (Master 2021, First Employment: Senior Software Engineer at Qualcomm)
Ali Issaoui (Master 2021, First Employment: Software Engineer at Amazon Web Services)
Mario A. DeLaGarza (Undergraduate 2019, First Employment: Software Engineer at Google)
Theo William Guidroz (Undergraduate 2021-2022, First Employment: Software Engineer at Google)
William Zhu (UChicago High School Student 2022, Next: Yale University)
Misc
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