Sameera Ramasinghe
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
13
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions. | Hashiru Pramuditha, Vinasirajan Viruthshaan, Vishagar Arunan, Saeedha Nazar, Sameera Ramasinghe, Simon Lucey, Ranga Rodrigo |
| 2025 | CVPR | VI^3NR: Variance Informed Initialization for Implicit Neural Representations. | Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Sameera Ramasinghe, Stephen Gould |
| 2025 | CVPR | QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Document Understanding. | Binh M. Le, Shaoyuan Xu, Jinmiao Fu, Zhishen Huang, Moyan Li, Yanhui Guo, Hongdong Li, Sameera Ramasinghe, Bryan Wang |
| 2025 | ICCV | Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval. | Ziwei Wang, Sameera Ramasinghe, Chenchen Hu, Julien Monteil, Loris Bazzani, Thalaiyasingam Ajanthan |
| 2025 | ICML | Nesterov Method for Asynchronous Pipeline Parallel Optimization. | Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long |
| 2025 | IJCNN | Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data. | Yiqun Duan, Sameera Ramasinghe, Stephen Gould, Thalaiyasingam Ajanthan |
| 2025 | WACV | Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models. | Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe |
| 2024 | AAAI | BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. | Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel |
| 2024 | CVPR | Accept the Modality Gap: An Exploration in the Hyperbolic Space. | Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Thalaiyasingam Ajanthan |
| 2024 | CVPR | From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. | Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey |
| 2024 | CVPR | Backpropagation-free Network for 3D Test-time Adaptation. | Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi |
| 2024 | CVPR | ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. | Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel |
| 2024 | ECCV | Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. | Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi |
| 2024 | ICLR | Improving the Convergence of Dynamic NeRFs via Optimal Transport. | Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel |
| 2024 | ICML | A sampling theory perspective on activations for implicit neural representations. | Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey |
| 2023 | AAAI | A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. | Sameera Ramasinghe, Simon Lucey |
| 2023 | ICCV | Curvature-Aware Training for Coordinate Networks. | Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey |
| 2023 | ICML | How much does Initialization Affect Generalization? | Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey |
| 2022 | BMVC | Robust normalizing flows using Bernstein-type polynomials. | Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes |
| 2022 | CVPR | Enabling Equivariance for Arbitrary Lie Groups. | Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey |
| 2022 | ECCV | Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. | Shin-Fang Ch'ng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey |
| 2022 | ECCV | Few-Shot Class-Incremental Learning for 3D Point Cloud Objects. | Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman |
| 2022 | ECCV | Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. | Sameera Ramasinghe, Simon Lucey |
| 2022 | ECCV | Trading Positional Complexity vs Deepness in Coordinate Networks. | Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey |
| 2021 | ICCV | Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. | Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi |
| 2021 | ICLR | Conditional Generative Modeling via Learning the Latent Space. | Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould |
| 2020 | ICPRAM | Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. | Sameera Ramasinghe, Salman H. Khan, Nick Barnes |
| 2020 | IROS | Spectral-GANs for High-Resolution 3D Point-cloud Generation. | Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould |
| 2020 | WACV | Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. | Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould |
| 2018 | ECCV | A Context-Aware Capsule Network for Multi-label Classification. | Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan |
| 2017 | DICTA | Micro Actions and Deep Static Features for Activity Recognition. | Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual |
| 2016 | Mobisys | Poster: Advanced Feature Based Deep Learning for Intelligent Human Activity Recognition: An Approach using Scene Context and Composition of Sub Events. | Sameera Ramasinghe |