Shuai Zheng

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 13

Top Topics

Semantic Segmentation

Structured Prediction

Conditional Random Fields

Top Venues

Publications

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 (2020)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
GP-GAN: Towards Realistic High-Resolution Image Blending. ACM Multimedia (2019)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
Fast End-to-End Trainable Guided Filter. CoRR (2018)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
Fast End-to-End Trainable Guided Filter. CVPR (2018)
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) (2018)
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) (2018)
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)
Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR (2017)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
GP-GAN: Towards Realistic High-Resolution Image Blending. CoRR (2017)
James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi
Fully-trainable deep matching. BMVC (2016)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
Higher Order Conditional Random Fields in Deep Neural Networks. ECCV (2) (2016)
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)
James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi
Fully-Trainable Deep Matching. CoRR (2016)
Lijun Cao, Weihua Chen, Xiaotang Chen, Shuai Zheng, Kaiqi Huang
An equalised global graphical model-based approach for multi-camera object tracking. CoRR (2015)
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 (2015)
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 (2015)
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) (2015)
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)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
Higher Order Potentials in End-to-End Trainable Conditional Random Fields. CoRR (2015)
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)
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)
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) (2014)
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)
Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook
Robust Non-parametric Data Fitting for Correspondence Modeling. ICCV (2013)
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)
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 (2013)
Shuai Zheng, Kaiqi Huang, Tieniu Tan, Dacheng Tao
A cascade fusion scheme for gait and cumulative foot pressure image recognition. Pattern Recognit. 45 (10) (2012)
Shuai Zheng, Bo Xie, Kaiqi Huang, Dacheng Tao
Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity. ICONIP (3) (2011)
Shuai Zheng, Kaiqi Huang, Tieniu Tan
Evaluation framework on translation-invariant representation for cumulative foot pressure image. ICIP (2011)
Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang
An empirical study of visual features for part based model. ACPR (2011)
Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan
Robust view transformation model for gait recognition. ICIP (2011)
Shuai Zheng, Kaiqi Huang, Tieniu Tan
Translation-Invariant Representation for Cumulative Foot Pressure Images CoRR (2010)