Shuai Zheng

According to our database, Shuai Zheng authored at least 28 papers between 2010 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

LID 2020: The Learning from Imperfect Data Challenge Results.

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

CoRR, 2020

2019

GP-GAN: Towards Realistic High-Resolution Image Blending.

Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.

Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr

IEEE Signal Process. Mag., 2018

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.

Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl

SIAM J. Imaging Sci., 2018

Fast End-to-End Trainable Guided Filter.

Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning Arbitrary Potentials in CRFs with Gradient Descent.

Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley

CoRR, 2017

A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.

Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Higher Order Conditional Random Fields in Deep Neural Networks.

Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2016, 2016

Fully-trainable deep matching.

James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi

Proceedings of the British Machine Vision Conference 2016, 2016

Joint Training of Generic CNN-CRF Models with Stochastic Optimization.

Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation.

Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip H. S. Torr, Carsten Rother

CoRR, 2015

An equalised global graphical model-based approach for multi-camera object tracking.

Lijun Cao, Weihua Chen, Xiaotang Chen, Shuai Zheng, Kaiqi Huang

CoRR, 2015

Higher Order Potentials in End-to-End Trainable Conditional Random Fields.

Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

CoRR, 2015

DenseCut: Densely Connected CRFs for Realtime GrabCut.

Ming-Ming Cheng, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother

Comput. Graph. Forum, 2015

Conditional Random Fields as Recurrent Neural Networks.

Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds.

Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

ImageSpirit: Verbal Guided Image Parsing.

Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr

ACM Trans. Graph., 2014

Dense Semantic Image Segmentation with Objects and Attributes.

Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

ImageSpirit: Verbal Guided Image Parsing.

Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr

CoRR, 2013

Robust Non-parametric Data Fitting for Correspondence Modeling.

Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook

Proceedings of the IEEE International Conference on Computer Vision, 2013

Efficient Salient Region Detection with Soft Image Abstraction.

Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook

Proceedings of the IEEE International Conference on Computer Vision, 2013

Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices.

Shuai Zheng, Paul Sturgess, Philip H. S. Torr

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012

A cascade fusion scheme for gait and cumulative foot pressure image recognition.

Shuai Zheng, Kaiqi Huang, Tieniu Tan, Dacheng Tao

Pattern Recognit., 2012

2011

Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity.

Shuai Zheng, Bo Xie, Kaiqi Huang, Dacheng Tao

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Robust view transformation model for gait recognition.

Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Evaluation framework on translation-invariant representation for cumulative foot pressure image.

Shuai Zheng, Kaiqi Huang, Tieniu Tan

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

An empirical study of visual features for part based model.

Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Translation-Invariant Representation for Cumulative Foot Pressure Images

Shuai Zheng, Kaiqi Huang, Tieniu Tan

CoRR, 2010