Xiaobai Liu, PhD

Assistant Professor (Tenure-Track)
Department of Computer Science, San Diego State University
San Diego, CA, 92182
Email: xiaobai DOT liu AT mail DOT sdsu DOT edu
Office: GMCS 542 (619-5944345)

Updates and News

July 15, 2017: Our paper on Discrete Multi-modal Hashing was accepted for publication in the IEEE Transactions on Multimedia.

July 1, 2017: Our paper on Grayscale-Thermal Tracking was accepted for publication in the IEEE Transactions on Image Processing.

June 15, 2017: Our paper on Place-centric Visual Urban Perception was accepted for publication in the ACM MM'2017.

May 11, 2017: Our paper on knowledge-based 3D scene reconstruction was accepted for publication in the IJCAI'2017.

May 4, 2017: I eceived a Grant (Sole PI) from the NSF CRII program in the area of 3D scene reconstruction and commonsense reasoning!

March 15, 2017: Prof. Takeo Kanade visited the SDSU Computer Vision Lab and gave a talk in Montezuma hall.

April 20, 2017: I will co-organize the ACM Multimedia Workshop on Visual Analatic for Smart and Connected Communities in conjunction with the ACM MM'2017.

Dec. 27 , 2016: One fully funded PhD student position is available. Please contact xiaobai.liu@mail.sdsu.edu for more details.

Dec. 20 , 2016: Our paper on attribute grammar will appear in the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

Dec. 1 , 2016: Our paper on cross-view object tracking was accepted by the AAAI Conference on Artificial Intelligence (AAAI) 2017.

Sep.19, 2016: Call for Paper is available. Welcome to submit your papers or long-abstract.

Sep.12, 2016: We are organizing the AAAI'2017 workshop on AI for Connected and Automated Vehicles (AI-CAV).

June 24, 2016: Our paper will appear in the IEEE Transactions on Knowledge and Data Engineering (TKDE).

June 22, 2016: Our paper on Visual Vehicle-to-Vehicle (V3I) was accpeted as Oral Presentation by ACM MM'2016

May 30, 2016: I will chair the session of Machine Learning8: Data Mining in IJCAI'2016. Welcome to Attend!

Apr. 10, 2016: Our paper on Hierarchical LSTM model for Scene Parsing was accepted by IJCAI'2016.

Apr. 10, 2016: Our paper on Mobile Landmark Search was accepted by IJCAI'2016.

Apr. 10, 2016: Our paper on Single-view 3D Scene Reconstruction was accepted by IJCAI'2016.

Feb. 29, 2016: Our Paper on Multi-view Human Tracking was accepted by IEEE CVPR'2016!

Feb. 24, 2016: Received the SDSU GREW Fellowship Spring 2016.

Feb. 1, 2016: I will chair the sessions of VIS: Pose Estimation and ML: Deep Learning I in AAAI' 2016. Welcome to Attend!

Jan. 10, 2016: Our Proposal to the SDSU Undergraduate Research Program has been awarded. Congradulations to Jacob Thalman!

Jan. 7, 2016: Received a donation of GPU K40 from the NVIDA Inc. Thanks NVIDA!

Dec. 1, 2015: Our paper on Attributed Grammar was accepted by AAAI'2016.

SDSU Computer Vision Lab

Grayson Adkins

Master student
2014-present

Sam Szniten

Master student
2014-present

Shruthi Srinath

Master student
2015-present

Chenlei Zhang

Master student
2015-present

Shawn Healey

Master student
2015-present

Donovan Lo

Master student
2015-present

Shakiba Tahmoresi

Master student
2015-present

Qi Chen

Master student
2016-present

Kai Li

Master student
2016-present

Esha Vishwakarma

Master student
2016-present

Purvil Dave

Master student
2016-present

Kunqian Li

Doctoral students (affiliated), HUST

Li Zhu

Doctoral students (affiliated), HUST

Lixian Yuan

Doctoral students (affiliated), SYSU

Teaching

CS596: Machine Learning

Fall, 2016

CS653: Data Mining and Knowledge Discovery

Fall, 2016

CS696: Applied Computer Vision

Spring, 2016

CS596: Machine Learning

Fall, 2015

Recent Publication (at SDSU)

*: correspondence authors

14. Xiaobai Liu, Qi Chen, Lei Zhu, Yuanlu Xu and Liang Lin. Place-centric Visual Urban Perception with Deep Multi-instance Regression. ACM Conference on Multimedia, accepted, 2017

13. Chengcheng Yu^*, Xiaobai Liu^*, and Song-Chun Zhu. “Reasoning Geometric Commonsense for Single-view 3D Scene Parsing.” International Joint Conference on Artificial Intelligence (IJCAI), accepted, 2017 (Acceptance Rate 24%, ^: equal contributions)

12. Yuanlu Xu, Xiaobai Liu*, Lei Qin and Song-Chun Zhu. “Cross-view People Tracking by Scene-centered Spatio-temporal Parsing.” AAAI Conference on Artificial Intelligence (AAAI), accepted, 2017 (Acceptance Rate 24%)

11. Xiaobai Liu* , Yibiao Zhao and Song-Chun Zhu. “Attributed Grammar for Single-view 3D Scene Reconstruction”. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), in press, 2017

10. Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang and Liang Lin. “Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking”. IEEE Transactions on Image Processing, in press, 2016

9. Wenbin Jiang, Min Long, Laurence T. Yang, Xiaobai Liu, Hai Jin, Alan L. Yuille, and Ye Chi. "FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems." Future Generation Computer Systems, in press, 2016

8. Yadong Mu, Wei Liu, Xiaobai Liu, and Wei Fan. “Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization”. IEEE Transactions on Knowledge and Data Engineering, in press, 2016

7. Ping Luo, Xiaobai Liu and Liang Lin. "Learning Compositional Shape Models by Integrating Multiple Distance Metrics". IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, page: 1417-1428, 2016

6. Xiaobai Liu*. “V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization”. ACM Conference on Multimedia (long paper), 2016 (Acceptance Rate: 20%)

5. Xiaobai Liu*. “Multi-view 3D Human Tracking in Crowded Scenes”. Thirtieth AAAI Conference on Artificial Intelligence (AAAI), page: 3553-3559, 2016 (Acceptance Rate: 26%)

4. Xiaobai Liu*, Yadong Mu and Liang Lin. “A Stochastic Grammar for Fine-grained 3D Scene Reconstruction”. International Joint Conference on Artificial Intelligence (IJCAI), page: 3424-3431, 2016 (Acceptance Rate: 25%)

3. Lei Zhu, Jialei Shen, Xiaobai Liu and Liang Xie. “Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search”. International Joint Conference on Artificial Intelligence (IJCAI), page: 3959-3966, 2016 (Acceptance Rate: 25%)

2. Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Liang Lin, and Xiaobai Liu. “Geometric Scene Parsing with Hierarchical LSTM”. International Joint Conference on Artificial Intelligence (IJCAI), page: 3439-3446, 2016 (Acceptance Rate: 25%)

1. Yuanlu Xu, Xiaobai Liu*, Yang Liu, and Song-Chun Zhu. “Multi-view People Tracking via Hierarchical Trajectory Composition”. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), page: 4256-4265, 2016 (Acceptance Rate: 29% )

Publication (Full)

Referred Journals

15. Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang and Liang Lin. “Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking”. IEEE Transactions on Image Processing, in press, 2017

14. Wenbin Jiang, Min Long, Laurence T. Yang, Xiaobai Liu, Hai Jin, Alan L. Yuille, and Ye Chi. "FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems." Future Generation Computer Systems, in press, 2016.

13. Yadong Mu, Wei Liu, Xiaobai Liu, and Wei Fan. “Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization”. IEEE Transactions on Knowledge and Data Engineering, in press, 2016.

12. Ping Luo, Xiaobai Liu and Liang Lin. Learning Compositional Shape Models by Integrating Multiple Distance Metrics. IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, page: 1417-1428, 2016

11. Xiaobai Liu, Shuicheng Yan, Seong-Whang Lee and Hai Jin. “Nonegative Tensor Co-Factgorization and Its Unified Solution”. IEEE Transaction on Image Processing, vol. 23, no. 9, , page: 3950-3961, 2014

10. Xiaobai Liu, Qian Xu, Jiyi Ma, Hai Jin and Yanduo Zhang. “MsLRR: A Unified Multiscale Low-Rank Representation for Image Segmentation”. IEEE Transaction on Image Processing, vol. 23, no.5, page: 2159-2167, 2014

9. Xiaobai Liu, Liang Lin and Hai Jin. “Contextualized Trajectory Parsing via Spatio temporal Graph”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 12, page: 3010-3024, 2013

8. Xiaobai Liu, Shuicheng Yan, Bin Cheng, Jinhui Tang, Tat-Sheng Chua and Hai Jin. “Label-to-Region with Continuity biased Bi-Layer sparsity Priors”. ACM Transactions on Multimedia Computing, Communications and Applications, vol. 8, no. 4, Article 50, 2012

7. Xiaobai Liu, Shuicheng Yan, Bin Cheng, Jinhui Tang, Tat-Seng Chua, Hai Jin. “Image Label Completion by Contextual Decomposition”. ACM Transactions on Multimedia Computing, Communications and Applications, vol. 8, no.2, Article 21, 2012

6. Liang Lin, Xiaobai Liu, Shaowu Peng, Hongyang Chao, Yongtian Wang, Bo Jiang. Object categorization with sketch representation and generalized samples. Pattern Recognition, vol. 45, no. 10, page: 3648-3660, 2012

5. Xiao-Tong Yuan, Xiaobai Liu, Shuicheng Yan. “Visual Classification With Multitask Joint Sparse Representation”. IEEE Transactions on Image Processing, vol. 21, no. 10, page: 4349-4360, 2012

4. Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin and Wenbin Jiang. “Adaptive Tracking by Learning Hybrid Template On-Line”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no.11, page: 1588-1599, 2011

3. Xiaobai Liu, Liang Lin, Hai Jin, Shuicheng Yan and Wenbing Tao. ”Integrating Spatiotemporal Contextual Information for Target Recognition and Localization in Visual Surveillance”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 4, page: 393-407, 2011

2. Xiaobai Liu, Shuicheng Yan and Hai Jin. “Projective Nonnegative Graph Embedding”. IEEE Transaction on Image Processing, vol. 19, no. 5, page: 1126-1137, 2010

1. Liang Lin, Xiaobai Liu, Song Chun Zhu. “Layered Graph Matching with Composite Cluster Sampling”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 8, page: 1426-1442, 2010

Referred Proceedings

25. Xiaobai Liu, Qi Chen, Lei Zhu, Yuanlu Xu and Liang Lin. Place-centric Visual Urban Perception with Deep Multi-instance Regression. ACM Conference on Multimedia, accepted, 2017

24. Chengcheng Yu^*, Xiaobai Liu^*, and Song-Chun Zhu. “Reasoning Geometric Commonsense for Single-view 3D Scene Parsing.” International Joint Conference on Artificial Intelligence (IJCAI), accepted, 2017 (Acceptance Rate 24%, ^: equal contributions)

23. Yuanlu Xu, Xiaobai Liu*, Lei Qin and Song-Chun Zhu. “Cross-view People Tracking by Scene-centered Spatio-temporal Parsing.” AAAI Conference on Artificial Intelligence (AAAI), accepted, 2017 (Acceptance Rate 24%)

22. Xiaobai Liu. “V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization”. ACM Conference on Multimedia (long paper), 2016 (Acceptance Rate: 20%)

21. Xiaobai Liu. “Multi-view 3D Human Tracking in Crowded Scenes”. Thirtieth AAAI Conference on Artificial Intelligence, page: 3553-3559, 2016 (Acceptance Rate: 26%)

20. Xiaobai Liu, Yadong Mu and Liang Lin. “A Stochastic Grammar for Fine-grained 3D Scene Reconstruction”. International Joint Conference on Artificial Intelligence (IJCAI), page: 3424-3431, 2016 (Acceptance Rate: 25%)

19. Lei Zhu, Jialei Shen, Xiaobai Liu and Liang Xie. “Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search”. International Joint Conference on Artificial Intelligence (IJCAI), page: 3959-3966, 2016 (Acceptance Rate: 25%)

18. Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Liang Lin, and Xiaobai Liu. “Geometric Scene Parsing with Hierarchical LSTM”. International Joint Conference on Artificial Intelligence (IJCAI), page: 3439-3446, 2016 (Acceptance Rate: 25%)

17. Yuanlu Xu, Xiaobai Liu, Yang Liu, and Song-Chun Zhu. “Multi-view People Tracking via Hierarchical Trajectory Composition”. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), page: 4256-4265, 2016 Acceptance Rate: 29%)

16. Xiaobai Liu, Yibiao Zhao and Song-Chun Zhu. “Single-View 3D Scene Parsing by Attributed Grammar”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (Acceptance Rate: 26%)

15. Roozbeh Mottagh, Xianjie Chen, Xiaobai Liu, and Alan Yuille. “The Role of Context for Object Detection and Semantic Segmentation in the Wild”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (Acceptance Rate: 26%)

14. Xianjie Chen, Roozbeh Mottagh, Xiaobai Liu and Alan Yuille. “Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), page: 684-691, 2014 (Acceptance Rate: 26%)

13. Xiaobai Liu, Liang Lin, and Alan Yuille. “Robust Region Group by Internal Image Statistics”. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , page: 1931-1938, 2013 (Acceptance Rate: 25%)

12. Yuanlu Xu, Liang Lin, Wei-Shi Zheng, Xiaobai Liu, and Xaochun Cao. “Human Re-identification by Matching Compositional Template with Cluster Sampling”. Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. (Acceptance rate: 27%)

11. Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan and Hai Jin. “Multiclass Semi-supervised SVMs with Positiveness Exclusive Regularization”. Proc. IEEE Conference on Computer Vision (ICCV), page: 1435-1442, 2011 (Acceptance rate: 23%)

10. Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin and Hai Jin. “Segment an Image by Looking into an Image Corpus”. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), page: 2249-2256, Colorado Spring, June, 2011 (Acceptance Rate: 26%)

9. Xiaobai Liu, Jiashi Feng, Shuicheng Yan and Hai Jin. “Image Segmentation with Patch-pair Density Prior”. Proc. ACM Conference on Multimedia (long paper), page: 113-122, 2010 (Acceptance Rate: 17%)

8. Xiaobai Liu, Shuicheng Yan, Jiebo Luo and Hai Jin. “Nonparametric Label-to-Region by Search”. Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), page: 3320-3327, 2010 (Acceptance Rate: 26%)

7. Xiaobai Liu, Haifeng Gong, Shuicheng Yan and Hai Jin. “Multi-View Object Detection by Classifier Interpolation”. Proc. The 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP, Oral Presentation), page: 826-829, Dallas, Texas, USA, March, 2010 (Acceptance Rate: 25%)

6. Xiaobai Liu, Bin Cheng, Shuicheng Yan, Jinhui Tang, Tat-Sheng Chua and Hai Jin. “Label to Region by Bi-Layer Sparsity Priors”. Proc. ACM Conference on Multimedia (long paper), page: 115-124, 2009 (Acceptance rate: 16%)

5. Xiaobai Liu, Shuicheng Yan, Jun Yan and Hai Jin. “Unified Solution to Nonnegative Data Factorization Problems”. Proc. IEEE International Conference on Data Mining (ICDM, Oral Presentation), page: 307-169, 2009 (Acceptance rate: 8.9%)

4. Xiaobai Liu, Liang Lin, Song-Chun Zhu and Hai Jin. Trajectory Parsing by Cluster Sampling in Spatio-temporal Graph. Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), page: 739-746, 2009 (Acceptance Rate: 26%)

3. Liang Lin, Kun Zeng, Xiaobai Liu, Song Chun Zhu. “Layered graph matching by composite cluster sampling with collaborative and competitive interactions”. Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), page: 943-944, 2009 (Acceptance Rate: 26%)

2. Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lanfang Dong. "Object-of-interest Extraction by Integrating Stochastic Inference with Learnt Active Shape Sketch". International Conference on Pattern Recognition (ICPR, Oral Presentation), pages 1-4, 2008 (Acceptance Rate: 18%)

1. Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin and Wengbing Tao. “Layered shape matching and registration: Stochastic sampling with hierarchical graph representation”. Proc. International Conference on Pattern Recognition (Oral Presentation), 2008 (Acceptance Rate: 18%)