Sameera Ramasinghe

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Activity Recognition

Incremental Learning

Motion Features

Top Venues

Publications

Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR (2024)
Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
Backpropagation-free Network for 3D Test-time Adaptation. CoRR (2024)
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI (2024)
Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR (2024)
Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR (2024)
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR (2024)
Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey
Robust Point Cloud Processing Through Positional Embedding. 3DV (2024)
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR (2023)
Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey
On the effectiveness of neural priors in modeling dynamical systems. CoRR (2023)
Sameera Ramasinghe, Simon Lucey
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. AAAI (2023)
Md. Ismail Hossain, Mirza M. Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman
LumiNet: The Bright Side of Perceptual Knowledge Distillation. CoRR (2023)
Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey
Robust Point Cloud Processing through Positional Embedding. CoRR (2023)
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
Curvature-Aware Training for Coordinate Networks. CoRR (2023)
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
Curvature-Aware Training for Coordinate Networks. ICCV (2023)
Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How much does Initialization Affect Generalization? ICML (2023)
Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. CoRR (2022)
Sameera Ramasinghe, Simon Lucey
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. ECCV (33) (2022)
Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey
Trading Positional Complexity vs. Deepness in Coordinate Networks. CoRR (2022)
Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey
Trading Positional Complexity vs Deepness in Coordinate Networks. ECCV (27) (2022)
Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman
Few-shot Class-incremental Learning for 3D Point Cloud Objects. CoRR (2022)
Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. ECCV (33) (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
On the Frequency-bias of Coordinate-MLPs. NeurIPS (2022)
Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects. ECCV (20) (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
On Regularizing Coordinate-MLPs. CoRR (2022)
Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes
Robust normalizing flows using Bernstein-type polynomials. BMVC (2022)
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
Enabling Equivariance for Arbitrary Lie Groups. CVPR (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How You Start Matters for Generalization. CoRR (2022)
Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. NeurIPS (2021)
Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Conditional Generative Modeling via Learning the Latent Space. ICLR (2021)
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
Enabling equivariance for arbitrary Lie groups. CoRR (2021)
Sameera Ramasinghe, Simon Lucey
Learning Positional Embeddings for Coordinate-MLPs. CoRR (2021)
Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes
Robust normalizing flows using Bernstein-type polynomials. CoRR (2021)
Sameera Ramasinghe, Simon Lucey
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. CoRR (2021)
Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. ICCV (2021)
Jianqiao Zheng, Sameera Ramasinghe, Simon Lucey
Rethinking Positional Encoding. CoRR (2021)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Representation Learning on Unit Ball with 3D Roto-translational Equivariance. Int. J. Comput. Vis. 128 (6) (2020)
Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould
How to train your conditional GAN: An approach using geometrically structured latent manifolds. CoRR (2020)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS (2020)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. WACV (2020)
Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Conditional Generative Modeling via Learning the Latent Space. CoRR (2020)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes
Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. ICPRAM (2020)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes
Volumetric Convolution: Automatic Representation Learning in Unit Ball. CoRR (2019)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Spectral-GANs for High-Resolution 3D Point-cloud Generation. CoRR (2019)
Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual
Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. IEEE Trans. Circuits Syst. Video Technol. 29 (9) (2019)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. CoRR (2019)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. CoRR (2019)
Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan
A Context-Aware Capsule Network for Multi-label Classification. ECCV Workshops (3) (2018)
Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos. CoRR (2018)
Sameera Ramasinghe, C. D. Athuralya, Salman H. Khan
A Context-aware Capsule Network for Multi-label Classification. CoRR (2018)
Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual
Micro Actions and Deep Static Features for Activity Recognition. DICTA (2017)
Sameera Ramasinghe
Poster: Advanced Feature Based Deep Learning for Intelligent Human Activity Recognition: An Approach using Scene Context and Composition of Sub Events. MobiSys (Companion Volume) (2016)
Sameera Ramasinghe, Ranga Rodrigo
Action recognition by single stream convolutional neural networks: An approach using combined motion and static information. ACPR (2015)