Sadeep Jayasumana
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
8
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. | Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar |
| 2024 | CVPR | Rethinking FID: Towards a Better Evaluation Metric for Image Generation. | Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar |
| 2024 | ICML | USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. | Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar |
| 2022 | ICML | In defense of dual-encoders for neural ranking. | Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar |
| 2021 | ICLR | Long-tail learning via logit adjustment. | Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar |
| 2021 | ICML | Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. | Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | BMVC | Bipartite Conditional Random Fields for Panoptic Segmentation. | Sadeep Jayasumana, Kanchana Ranasinghe, Sahan Liyanaarachchi, Mayuka Jayawardhana, Harsha Ranasinghe, Sina Samangooei |
| 2016 | ECCV | Higher Order Conditional Random Fields in Deep Neural Networks. | Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr |
| 2015 | BMVC | Prototypical Priors: From Improving Classification to Zero-Shot Learning. | Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr |
| 2015 | ICCV | 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 |
| 2014 | CVPR | Optimizing over Radial Kernels on Compact Manifolds. | Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi |
| 2014 | ECCV | Expanding the Family of Grassmannian Kernels: An Embedding Perspective. | Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li |
| 2013 | CVPR | Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. | Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi |
| 2013 | DICTA | Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. | Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi |
| 2013 | ICCV | A Framework for Shape Analysis via Hilbert Space Embedding. | Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi |
| 2013 | IIWAS | Improved Server Architecture for Highly Efficient Message Mediation. | Hiranya Jayathilaka, Pradeep R. Fernando, Paul Fremantle, Kasun Indrasiri, Dushan Abeyruwan, Supun Kamburugamuve, Sadeep Jayasumana, Sanjiva Weerawarana, Srinath Perera |