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

Neural Tracing/Segmentation in Densely Labeled Multispectral Images
Neural Network Pruning
Multi-Modal Cooperative Dialog Agents
Multi-camera Human Pose/Action/Activity Recognition and Estimation
First-person Vision Analysis
Complex Video Analysis
Neural Tracing/Segmentation in Densely Labeled Multispectral Images
Neural Network Pruning
Multi-Modal Cooperative Dialog Agents
Multi-camera Human Pose/Action/Activity Recognition and Estimation
First-person Vision Analysis
Complex Video Analysis

Teaching

CS 584: Machine Learning, Fall 2022
CS 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

Current PhD students:
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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