Ramasinghe, Sameera

35 publications

ICLRW 2025 Beyond Top-K: Structured Sparsification for Compression in Pipeline Parallel Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zuo, Alexander Long

ICLRW 2025 Exploring Asynchronism in SWARM Parallelism Yan Zuo, Gil Avraham, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Alexander Long

ICCV 2025 Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval Ziwei Wang, Sameera Ramasinghe, Chenchen Xu, Julien Monteil, Loris Bazzani, Thalaiyasingam Ajanthan

TMLR 2025 LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman

NeurIPS 2025 Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi, Gil Avraham, Violetta Shevchenko, Yan Zuo, Chamin P Hewa Koneputugodage, Alexander Long

ICLRW 2025 Momentum Look-Ahead for Asynchronous Distributed Low-Communication Training Thalaiyasingam Ajanthan, Sameera Ramasinghe, Gil Avraham, Yan Zuo, Alexander Long

ICML 2025 Nesterov Method for Asynchronous Pipeline Parallel Optimization Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long

CVPRW 2025 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

NeurIPS 2025 Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zuo, Alexander Long

WACV 2025 Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe

NeurIPS 2025 Unextractable Protocol Models: Collaborative Training and Inference Without Weight Materialization Alexander Long, Chamin P Hewa Koneputugodage, Thalaiyasingam Ajanthan, Yan Zuo, Gil Avraham, Violetta Shevchenko, Hadi Mohaghegh Dolatabadi, Sameera Ramasinghe

CVPR 2025 VI^3NR: Variance Informed Initialization for Implicit Neural Representations Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Sameera Ramasinghe, Stephen Gould

ICML 2024 A Sampling Theory Perspective on Activations for Implicit Neural Representations Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey

CVPR 2024 Accept the Modality Gap: An Exploration in the Hyperbolic Space Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Ajanthan Thalaiyasingam

AAAI 2024 BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel

CVPR 2024 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

CVPR 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey

ICLR 2024 Improving the Convergence of Dynamic NeRFs via Optimal Transport Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel

NeurIPS 2024 Neural Experts: Mixture of Experts for Implicit Neural Representations Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould

CVPR 2024 ViewFusion: Towards Multi-View Consistency via Interpolated Denoising Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel

AAAI 2023 A Learnable Radial Basis Positional Embedding for Coordinate-MLPs Sameera Ramasinghe, Simon Lucey

ICCV 2023 Curvature-Aware Training for Coordinate Networks Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan MacDonald, Simon Lucey

ICML 2023 How Much Does Initialization Affect Generalization? Sameera Ramasinghe, Lachlan Ewen Macdonald, Moshiur Farazi, Hemanth Saratchandran, Simon Lucey

ICMLW 2023 On the Effectiveness of Neural Priors in Modeling Dynamical Systems Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey

ECCV 2022 Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs Sameera Ramasinghe, Simon Lucey

CVPR 2022 Enabling Equivariance for Arbitrary Lie Groups Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey

ECCV 2022 Few-Shot Class-Incremental Learning for 3D Point Cloud Objects Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman

ECCV 2022 Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey

NeurIPS 2022 On the Frequency-Bias of Coordinate-MLPs Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey

ECCV 2022 Trading Positional Complexity vs Deepness in Coordinate Networks Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey

ICLR 2021 Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman Khan, Nick Barnes, Stephen Gould

NeurIPS 2021 Rethinking Conditional GAN Training: An Approach Using Geometrically Structured Latent Manifolds Sameera Ramasinghe, Moshiur Farazi, Salman H Khan, Nick Barnes, Stephen Gould

ICCV 2021 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

WACV 2020 Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes Sameera Ramasinghe, Salman Khan, Nick Barnes, Stephen Gould

ECCVW 2018 A Context-Aware Capsule Network for Multi-Label Classification Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan