Sadeep Jayasumana

发表

Kernelized Classification in Deep Networks pdf

Srikumar Ramalingam, Sadeep Jayasumana, Sanjiv Kumar, 2020, ArXiv.

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Optimizing over Radial Kernels on Compact Manifolds

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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

Philip H. S. Torr, Anurag Arnab, Sadeep Jayasumana, 2015, ArXiv.

A Framework for Shape Analysis via Hilbert Space Embedding

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE International Conference on Computer Vision.

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

Carsten Rother, Philip H. S. Torr, Bogdan Savchynskyy, 2018, IEEE Signal Processing Magazine.

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, ECCV.

Conditional Random Fields as Recurrent Neural Networks

Vibhav Vineet, Philip H. S. Torr, Chang Huang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Bipartite Conditional Random Fields for Panoptic Segmentation pdf

Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, 2019, BMVC.

Higher Order Conditional Random Fields in Deep Neural Networks

Philip H. S. Torr, Anurag Arnab, Sadeep Jayasumana, 2015, ECCV.

Long-tail learning via logit adjustment pdf

Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, 2020, ICLR.

Improved Server Architecture for Highly Efficient Message Mediation

Srinath Perera, Hiranya Jayathilaka, Sanjiva Weerawarana, 2013, IIWAS '13.

Prototypical Priors: From Improving Classification to Zero-Shot Learning pdf

Philip H. S. Torr, Bernardino Romera-Paredes, Sadeep Jayasumana, 2015, BMVC.

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Long-tail learning via logit adjustment pdf

Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, 2020, ICLR.

Less is more: Selecting informative and diverse subsets with balancing constraints

Srikumar Ramalingam, Sadeep Jayasumana, Daniel Glasner, 2021, 2104.12835.

Balancing Constraints and Submodularity in Data Subset Selection pdf

Srikumar Ramalingam, Sadeep Jayasumana, Raviteja Vemulapalli, 2021, ArXiv.

Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces

Ankit Singh Rawat, Sashank J. Reddi, Wittawat Jitkrittum, 2021, ICML.