Tianfu Wu

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song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
Li BoBeijing Institute of TechnologyVerified email at bit.edu.cn
Gui-Song XiaProfessor of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
zhang liangpeiProfessor, Wuhan UniversityVerified email at whu.edu.cn
Kevin HanAssistant Professor of Civil, Construction, and Environmental Engineering, NC State UniversityVerified email at ncsu.edu
Edgar LobatonNorth Carolina State UniversityVerified email at ncsu.edu
Nan XueWuhan UniversityVerified email at whu.edu.cn
Song BaiByteDance AI Lab, SingaporeVerified email at robots.ox.ac.uk
Khashayar AsadiPh.D. Candidate, Department of Civil, Construction, and Environmental Engineering, North CarolinaVerified email at ncsu.edu
Caiming XiongSalesforce ResearchVerified email at salesforce.com
Liang LinProfessor, School of Computer Science and Engineering, Sun Yat-Sen University, ChinaVerified email at ieee.org
Fudong WangPh.D student, Wuhan UniversityVerified email at whu.edu.cn
Yingbo ZhouResearch Director, Salesforce ResearchVerified email at salesforce.com
Richard Socheryou.comVerified email at stanford.edu
Hamid KrimProfessor of ECE, Director of VISSTA Laboratory, North Carolina State UniversityVerified email at ncsu.edu
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
Wenze HuDepartment of Statistics, University of California, Los AngelesVerified email at ucla.edu
Spondon KunduSiemens Corporate TechnologyVerified email at siemens.com
yunde jiaProfessor of Computer Science, Beijing Institute of TechnologyVerified email at bit.edu.cn
Yu ZhouAssociate Professor in Huazhong University of Science and TechnologyVerified email at hust.edu.cn

Tianfu Wu

NC State University

Verified email at ncsu.edu - Homepage

Computer Vision Deep Learning Grammar Models Controllable Image Synthesis


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Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting X Li, Y Zhou, T Wu, R Socher, C Xiong International Conference on Machine Learning, 3925-3934, 2019	156	2019
A stochastic graph grammar for compositional object representation and recognition L Lin, T Wu, J Porway, Z Xu Pattern Recognition 42 (7), 1297-1307, 2009	155	2009
face detection with end-to-end integration of a ConvNet and a 3D model Y Li, B Sun, T Wu, Y Wang European Conference on Computer Vision, 420-436, 2016	146	2016
Auto-Context R-CNN B Li, T Wu, L Zhang, R Chu arXiv preprint arXiv:1807.02842, 2018	144*	2018
Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation T Wu, B Li, SC Zhu IEEE transactions on pattern analysis and machine intelligence 38 (9), 1829-1843, 2016	140*	2016
The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the IEEE International Conference on Computer Vision …, 2015	131	2015
Design sparse features for age estimation using hierarchical face model J Suo, T Wu, S Zhu, S Shan, X Chen, W Gao 2008 8th IEEE International Conference on Automatic Face & Gesture …, 2008	104	2008
A numerical study of the bottom-up and top-down inference processes in and-or graphs T Wu, SC Zhu International journal of computer vision 93 (2), 226-252, 2011	96	2011
Online object tracking, learning and parsing with and-or graphs Y Lu, T Wu, S Chun Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	92	2014
Discriminatively trained and-or tree models for object detection X Song, T Wu, Y Jia, SC Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	69	2013
Deep learning for remote sensing image understanding L Zhang, GS Xia, T Wu, L Lin, XC Tai Journal of Sensors 2016, 2016	68	2016
Image synthesis from reconfigurable layout and style W Sun, T Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	60	2019
Attentive Normalization X Li, W Sun, T Wu arXiv preprint arXiv:1908.01259, 2019	56*	2019
Vision-based integrated mobile robotic system for real-time applications in construction K Asadi, H Ramshankar, H Pullagurla, A Bhandare, S Shanbhag, P Mehta, ... Automation in Construction 96, 470-482, 2018	56	2018
Compositional boosting for computing hierarchical image structures TF Wu, GS Xia, SC Zhu 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	56	2007
Learning attraction field representation for robust line segment detection N Xue, S Bai, F Wang, GS Xia, T Wu, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	55	2019
An integrated UGV-UAV system for construction site data collection K Asadi, AK Suresh, A Ender, S Gotad, S Maniyar, S Anand, M Noghabaei, ... Automation in Construction 112, 103068, 2020	54	2020
Face video retrieval via deep learning of binary hash representations Z Dong, S Jia, T Wu, M Pei Thirtieth AAAI Conference on Artificial Intelligence, 2016	39	2016
Modeling occlusion by discriminative and-or structures B Li, W Hu, T Wu, SC Zhu Proceedings of the IEEE International Conference on Computer Vision, 2560-2567, 2013	37	2013
Holistically-attracted wireframe parsing N Xue, T Wu, S Bai, F Wang, GS Xia, L Zhang, PHS Torr Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	36	2020

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