Sadeep Jayasumana
Sadeep Jayasumana
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TitleCited byYear
Conditional Random Fields as Recurrent Neural Networks
S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ...
IEEE International Conference on Computer Vision (ICCV), 2015
17552015
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 73-80, 2013
2402013
Higher order conditional random fields in deep neural networks
A Arnab, S Jayasumana, S Zheng, PHS Torr
European Conference on Computer Vision, 524-540, 2016
1532016
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
1102015
Expanding the family of Grassmannian kernels: An embedding perspective
MT Harandi, M Salzmann, S Jayasumana, R Hartley, H Li
European Conference on Computer Vision, 408-423, 2014
652014
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
362018
A framework for shape analysis via hilbert space embedding
S Jayasumana, M Salzmann, H Li, M Harandi
Proceedings of the IEEE International Conference on Computer Vision, 1249-1256, 2013
282013
Optimizing Over Radial Kernels on Compact Manifolds
S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014
242014
Higher order potentials in end-to-end trainable conditional random fields
A Arnab, S Jayasumana, S Zheng, PHS Torr
arXiv preprint arXiv:1511.08119 2, 2015
222015
Combining multiple manifold-valued descriptors for improved object recognition
S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi
2013 International Conference on Digital Image Computing: Techniques and …, 2013
202013
Prototypical Priors: From Improving Classification to Zero-Shot Learning
S Jetley, B Romera-Paredes, S Jayasumana, P Torr
The British Machine Vision Conference (BMVC), 2015
132015
Kernels on riemannian manifolds
S Jayasumana, R Hartley, M Salzmann
Riemannian Computing in Computer Vision, 45-67, 2016
42016
Improved server architecture for highly efficient message mediation
H Jayathilaka, P Fernando, D Abeyruwan, K Indrasiri, S Kamburugamuve, ...
Association for Computing Machinery Inc (ACM), 2013
22013
Bipartite Conditional Random Fields for Panoptic Segmentation
HR Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan ...
arXiv preprint arXiv:1912.05307, 2019
2019
Supplementary Material: Higher Order Conditional Random Fields in Deep Neural Networks
A Arnab, S Jayasumana, S Zheng, PHS Torr
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