Shuai Zheng

32 papers A* 6A 1B 3Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2020 J jnl
LID 2020: The Learning from Imperfect Data Challenge Results.
CoRR
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
2019 A* conf
GP-GAN: Towards Realistic High-Resolution Image Blending.
ACM Multimedia
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2018 J jnl
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.
IEEE Signal Process. Mag.
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
2018 A* conf
Fast End-to-End Trainable Guided Filter.
CVPR
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2018 J jnl
Fast End-to-End Trainable Guided Filter.
CoRR
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2018 J jnl
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.
SIAM J. Imaging Sci.
Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl
2017 — conf
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.
EMMCVPR
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr
2017 J jnl
GP-GAN: Towards Realistic High-Resolution Image Blending.
CoRR
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2017 J jnl
Learning Arbitrary Potentials in CRFs with Gradient Descent.
CoRR
Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
2016 J jnl
Fully-Trainable Deep Matching.
CoRR
James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi
2016 A conf
Fully-trainable deep matching.
BMVC
James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi
2016 — conf
Higher Order Conditional Random Fields in Deep Neural Networks.
ECCV (2)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
2016 — conf
Joint Training of Generic CNN-CRF Models with Stochastic Optimization.
ACCV (2)
Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother
2015 J jnl
An equalised global graphical model-based approach for multi-camera object tracking.
CoRR
Lijun Cao, Weihua Chen, Xiaotang Chen, Shuai Zheng, Kaiqi Huang
2015 A* conf
Conditional Random Fields as Recurrent Neural Networks.
ICCV
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
2015 J jnl
Conditional Random Fields as Recurrent Neural Networks.
CoRR
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
2015 J jnl
DenseCut: Densely Connected CRFs for Realtime GrabCut.
Comput. Graph. Forum
Ming-Ming Cheng, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother
2015 J jnl
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation.
CoRR
Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip H. S. Torr, Carsten Rother
2015 J jnl
Higher Order Potentials in End-to-End Trainable Conditional Random Fields.
CoRR
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
2015 — conf
Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds.
GCPR
Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother
2014 A* conf
Dense Semantic Image Segmentation with Objects and Attributes.
CVPR
Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr
2014 J jnl
ImageSpirit: Verbal Guided Image Parsing.
ACM Trans. Graph.
Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
2013 B conf
Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices.
FG
Shuai Zheng, Paul Sturgess, Philip H. S. Torr
2013 A* conf
Efficient Salient Region Detection with Soft Image Abstraction.
ICCV
Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook
2013 J jnl
ImageSpirit: Verbal Guided Image Parsing.
CoRR
Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
2013 A* conf
Robust Non-parametric Data Fitting for Correspondence Modeling.
ICCV
Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook
2012 J jnl
A cascade fusion scheme for gait and cumulative foot pressure image recognition.
Pattern Recognit.
Shuai Zheng, Kaiqi Huang, Tieniu Tan, Dacheng Tao
2011 — conf
An empirical study of visual features for part based model.
ACPR
Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang
2011 B conf
Evaluation framework on translation-invariant representation for cumulative foot pressure image.
ICIP
Shuai Zheng, Kaiqi Huang, Tieniu Tan
2011 — conf
Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity.
ICONIP (3)
Shuai Zheng, Bo Xie, Kaiqi Huang, Dacheng Tao
2011 B conf
Robust view transformation model for gait recognition.
ICIP
Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan
2010 J jnl
Translation-Invariant Representation for Cumulative Foot Pressure Images
CoRR
Shuai Zheng, Kaiqi Huang, Tieniu Tan