default search action
Sameera Ramasinghe
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c28]Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey:
Robust Point Cloud Processing Through Positional Embedding. 3DV 2024: 1403-1412 - [c27]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI 2024: 4641-4649 - [c26]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CVPR 2024: 413-422 - [c25]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CVPR 2024: 9870-9880 - [c24]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. CVPR 2024: 23231-23241 - [c23]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Thalaiyasingam Ajanthan:
Accept the Modality Gap: An Exploration in the Hyperbolic Space. CVPR 2024: 27253-27262 - [c22]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel:
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR 2024 - [c21]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A sampling theory perspective on activations for implicit neural representations. ICML 2024 - [i27]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR abs/2402.05427 (2024) - [i26]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR abs/2402.18842 (2024) - [i25]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 abs/2403.18442 (2024) - [i24]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR abs/2403.19205 (2024) - 2023
- [c20]Sameera Ramasinghe, Simon Lucey:
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. AAAI 2023: 2137-2145 - [c19]Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
Curvature-Aware Training for Coordinate Networks. ICCV 2023: 13282-13292 - [c18]Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey:
How much does Initialization Affect Generalization? ICML 2023: 28637-28655 - [i23]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR abs/2302.13543 (2023) - [i22]Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey:
On the effectiveness of neural priors in modeling dynamical systems. CoRR abs/2303.05728 (2023) - [i21]Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
Curvature-Aware Training for Coordinate Networks. CoRR abs/2305.08552 (2023) - [i20]Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey:
Robust Point Cloud Processing through Positional Embedding. CoRR abs/2309.00339 (2023) - [i19]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 abs/2310.03669 (2023) - 2022
- [c17]Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. BMVC 2022: 532 - [c16]Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey:
Enabling Equivariance for Arbitrary Lie Groups. CVPR 2022: 8173-8182 - [c15]Sameera Ramasinghe, Simon Lucey:
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. ECCV (33) 2022: 142-158 - [c14]Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey:
Trading Positional Complexity vs Deepness in Coordinate Networks. ECCV (27) 2022: 144-160 - [c13]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: 204-220 - [c12]Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey:
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. ECCV (33) 2022: 264-280 - [c11]Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
On the Frequency-bias of Coordinate-MLPs. NeurIPS 2022 - [i18]Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
On Regularizing Coordinate-MLPs. CoRR abs/2202.00790 (2022) - [i17]Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey:
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. CoRR abs/2204.05735 (2022) - [i16]Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey:
Trading Positional Complexity vs. Deepness in Coordinate Networks. CoRR abs/2205.08987 (2022) - [i15]Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman:
Few-shot Class-incremental Learning for 3D Point Cloud Objects. CoRR abs/2205.15225 (2022) - [i14]Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey:
How You Start Matters for Generalization. CoRR abs/2206.08558 (2022) - 2021
- [c10]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: 8641-8650 - [c9]Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. ICLR 2021 - [c8]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: 19487-19499 - [i13]Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. CoRR abs/2102.03509 (2021) - [i12]Jianqiao Zheng, Sameera Ramasinghe, Simon Lucey:
Rethinking Positional Encoding. CoRR abs/2107.02561 (2021) - [i11]Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey:
Enabling equivariance for arbitrary Lie groups. CoRR abs/2111.08251 (2021) - [i10]Sameera Ramasinghe, Simon Lucey:
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. CoRR abs/2111.15135 (2021) - [i9]Sameera Ramasinghe, Simon Lucey:
Learning Positional Embeddings for Coordinate-MLPs. CoRR abs/2112.11577 (2021) - 2020
- [j2]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): 1612-1634 (2020) - [c7]Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. ICPRAM 2020: 115-125 - [c6]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS 2020: 8169-8176 - [c5]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. WACV 2020: 21-31 - [i8]Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. CoRR abs/2010.03132 (2020) - [i7]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 abs/2011.13055 (2020)
2010 – 2019
- 2019
- [j1]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): 2693-2707 (2019) - [i6]Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Volumetric Convolution: Automatic Representation Learning in Unit Ball. CoRR abs/1901.00616 (2019) - [i5]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. CoRR abs/1908.10209 (2019) - [i4]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. CoRR abs/1912.01454 (2019) - [i3]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. CoRR abs/1912.01800 (2019) - 2018
- [c4]Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan:
A Context-Aware Capsule Network for Multi-label Classification. ECCV Workshops (3) 2018: 546-554 - [i2]Sameera Ramasinghe, C. D. Athuralya, Salman H. Khan:
A Context-aware Capsule Network for Multi-label Classification. CoRR abs/1810.06231 (2018) - [i1]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 abs/1810.06827 (2018) - 2017
- [c3]Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual:
Micro Actions and Deep Static Features for Activity Recognition. DICTA 2017: 1-8 - 2016
- [c2]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: 75 - 2015
- [c1]Sameera Ramasinghe, Ranga Rodrigo:
Action recognition by single stream convolutional neural networks: An approach using combined motion and static information. ACPR 2015: 101-105
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 20:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint