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ORCIDShuai Zheng 0001
Person information
- unicode name: 郑帅
- affiliation (PhD 2016): University of Oxford, Department of Engineering Science
- affiliation (2014): Baidu, Institute of Deep Learning, Beijing, China
- affiliation (2008 - 2011): Chinese Academy of Sciences, Institute of Automation (CASIA)
Other persons with the same name
- Shuai Zheng — disambiguation page
- Shuai Zheng 0002
![[0000-0001-9006-6318]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9006-6318")
— University of Texas at Arlington, Department of Computer Science and Engineering (and 1 more) - Shuai Zheng 0003 — Emory University, Atlanta, Department of Mathematics and Computer Science
- Shuai Zheng 0004 — Amazon Web Services (and 2 more)
- Shuai Zheng 0005 — Beijing Jiaotong University, Institute of Information Science, China (and 1 more)
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2020 – today
- 2020
[i11]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020)
2010 – 2019
- 2019
- [c16]Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang:
GP-GAN: Towards Realistic High-Resolution Image Blending. ACM Multimedia 2019: 2487-2495 - 2018
- [j5]Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl:
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. SIAM J. Imaging Sci. 11(4): 2610-2628 (2018) - [j4]Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr:
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35(1): 37-52 (2018) - [c15]Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang:
Fast End-to-End Trainable Guided Filter. CVPR 2018: 1838-1847 - [i10]Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang:
Fast End-to-End Trainable Guided Filter. CoRR abs/1803.05619 (2018) - 2017
- [c14]Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr:
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. EMMCVPR 2017: 564-579 - [i9]Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley:
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR abs/1701.06805 (2017) - [i8]Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang:
GP-GAN: Towards Realistic High-Resolution Image Blending. CoRR abs/1703.07195 (2017) - 2016
- [c13]Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother:
Joint Training of Generic CNN-CRF Models with Stochastic Optimization. ACCV (2) 2016: 221-236 - [c12]James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi:
Fully-trainable deep matching. BMVC 2016 - [c11]Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr:
Higher Order Conditional Random Fields in Deep Neural Networks. ECCV (2) 2016: 524-540 - [i7]James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi:
Fully-Trainable Deep Matching. CoRR abs/1609.03532 (2016) - 2015
- [j3]Ming-Ming Cheng, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother:
DenseCut: Densely Connected CRFs for Realtime GrabCut. Comput. Graph. Forum 34(7): 193-201 (2015) - [c10]Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother:
Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds. GCPR 2015: 196-208 - [c9]Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr:
Conditional Random Fields as Recurrent Neural Networks. ICCV 2015: 1529-1537 - [i6]Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr:
Conditional Random Fields as Recurrent Neural Networks. CoRR abs/1502.03240 (2015) - [i5]Lijun Cao, Weihua Chen, Xiaotang Chen, Shuai Zheng, Kaiqi Huang:
An equalised global graphical model-based approach for multi-camera object tracking. CoRR abs/1502.03532 (2015) - [i4]Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip H. S. Torr, Carsten Rother:
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. CoRR abs/1511.05067 (2015) - [i3]Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr:
Higher Order Potentials in End-to-End Trainable Conditional Random Fields. CoRR abs/1511.08119 (2015) - 2014
- [j2]Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr:
ImageSpirit: Verbal Guided Image Parsing. ACM Trans. Graph. 34(1): 3:1-3:11 (2014) - [c8]Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr:
Dense Semantic Image Segmentation with Objects and Attributes. CVPR 2014: 3214-3221 - 2013
- [c7]Shuai Zheng, Paul Sturgess, Philip H. S. Torr:
Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices. FG 2013: 1-8 - [c6]Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook:
Efficient Salient Region Detection with Soft Image Abstraction. ICCV 2013: 1529-1536 - [c5]Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook:
Robust Non-parametric Data Fitting for Correspondence Modeling. ICCV 2013: 2376-2383 - [i2]Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr:
ImageSpirit: Verbal Guided Image Parsing. CoRR abs/1310.4389 (2013) - 2012
- [j1]Shuai Zheng, Kaiqi Huang, Tieniu Tan, Dacheng Tao:
A cascade fusion scheme for gait and cumulative foot pressure image recognition. Pattern Recognit. 45(10): 3603-3610 (2012) - 2011
- [c4]Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang:
An empirical study of visual features for part based model. ACPR 2011: 219-223 - [c3]Shuai Zheng, Kaiqi Huang, Tieniu Tan:
Evaluation framework on translation-invariant representation for cumulative foot pressure image. ICIP 2011: 201-204 - [c2]Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan:
Robust view transformation model for gait recognition. ICIP 2011: 2073-2076 - [c1]Shuai Zheng, Bo Xie, Kaiqi Huang, Dacheng Tao:
Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity. ICONIP (3) 2011: 629-638 - 2010
- [i1]Shuai Zheng, Kaiqi Huang, Tieniu Tan:
Translation-Invariant Representation for Cumulative Foot Pressure Images. CoRR abs/1010.5426 (2010)
Coauthor Index
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