Sadeep Jayasumana

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Riemannian Manifolds

Graphical Models

Structured Prediction

Top Venues

Publications

Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR (2024)
Ziwei Ji, Himanshu Jain, Andreas Veit, Sashank J. Reddi, Sadeep Jayasumana, Ankit Singh Rawat, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar
Efficient Document Ranking with Learnable Late Interactions. CoRR (2024)
Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR (2023)
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR (2023)
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar
In defense of dual-encoders for neural ranking. ICML (2022)
Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
When does mixup promote local linearity in learned representations? CoRR (2022)
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. ICML (2021)
Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar
Balancing Constraints and Submodularity in Data Subset Selection. CoRR (2021)
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces. CoRR (2021)
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
Long-tail learning via logit adjustment. ICLR (2021)
Sadeep Jayasumana, Kanchana Ranasinghe, Sahan Liyanaarachchi, Mayuka Jayawardhana, Harsha Ranasinghe, Sina Samangooei
Bipartite Conditional Random Fields for Panoptic Segmentation. BMVC (2020)
Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
Kernelized Classification in Deep Networks. CoRR (2020)
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
Long-tail learning via logit adjustment. CoRR (2020)
Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe
Bipartite Conditional Random Fields for Panoptic Segmentation. CoRR (2019)
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)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
Higher Order Conditional Random Fields in Deep Neural Networks. ECCV (2) (2016)
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr
Prototypical Priors: From Improving Classification to Zero-Shot Learning. CoRR (2015)
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr
Prototypical Priors: From Improving Classification to Zero-Shot Learning. BMVC (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)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 37 (12) (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)
Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
A Framework for Shape Analysis via Hilbert Space Embedding. CoRR (2014)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CoRR (2014)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Optimizing Over Radial Kernels on Compact Manifolds. CoRR (2014)
Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. CoRR (2014)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. CoRR (2014)
Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) (2014)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Optimizing over Radial Kernels on Compact Manifolds. CVPR (2014)
Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
A Framework for Shape Analysis via Hilbert Space Embedding. ICCV (2013)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CVPR (2013)
Hiranya Jayathilaka, Pradeep R. Fernando, Paul Fremantle, Kasun Indrasiri, Dushan Abeyruwan, Supun Kamburugamuve, Sadeep Jayasumana, Sanjiva Weerawarana, Srinath Perera
Improved Server Architecture for Highly Efficient Message Mediation. iiWAS (2013)
Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. DICTA (2013)