Assistant Professor (Tenure-Track)
Department of Computer Science, San Diego State University
San Diego, CA, 92182
Email: xiaobai DOT liu AT sdsu DOT edu
Office: GMCS 542 GMCS 531 (619-5944345)
March 1, 2018: Our paper on weakly supervised learning for object tracking was accepted for publication in IJCAI'2018.
March 1, 2018: Our paper on visual causality reasoning was accepted for publication in CVPR'2018.
December 1, 2017: Our paper on 3D Human Pose Recognition was accepted as Oral Presentation in the AAAI'2018.
December 1, 2017: Our paper on Visual House Appraisal was accepted for publication in the IEEE Transactions on Knowledge and Data Engineering (TKDE).
October 30, 2017: Our paper on Image Segmentation was accepted for publication in the Journal Pattern Recognition.
September 30, 2017: Our paper on multi-view object tracking was accepted for publication in the IEEE Transactions on Circuits and Systems for Video Technology (CSVT).
August 15, 2017: I received a Grant (co-PI) from the ONR Marine Mammals and Biology Program (PI: Marie Roch).
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.
Master student
2015-present
Master student
2014-present
Master student
2015-present
Master student
2015-present
Master student
2016-present
Master student
2016-present
Visiting Doctoral students from SYSU
Doctoral students (affiliated), HUST
Doctoral students (affiliated), UCLA
Fall, 2017
Fall, 2017
Spring, 2017
*: correspondence authors
18. Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu. Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation, AAAI Conference on Artificial Intelligence (AAAI), 2018
17. Xiaobai Liu, Qian Xu, Jingjie Yang, Jacob Thalman, Shuicheng Yan, and Jiebo Luo. Learning Multi-Instance Deep Ranking and Regression Network for Visual House Appraisal. IEEE Transactions on Knowledge and Data Engineering (TKDE), in press, 2018
16. Kunqian Li, Wenbing Tao, Xiaobai Liu, Liman Liu. Iterative Image Segmentation with Feature Driven Heuristic Four Color Labeling, Pattern Recognition, in press, 2018
15. Xiaobai Liu, Yuanlu Xu, Lei Zhu and Yadong Mu. A Stochastic Attribute Grammar for Robust Cross-View Human Tracking. IEEE Transactions on Circuits and Systems for Video Technology (CSVT), in press, 2018
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% )