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ORCIDSameera Ramasinghe
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2020 – today
- 2024
[c29]Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey:
Robust Point Cloud Processing Through Positional Embedding. 3DV 2024: 1403-1412- [c28]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI 2024: 4641-4649 - [c27]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CVPR 2024: 413-422 - [c26]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 - [c25]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 - [c24]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Thalaiyasingam Ajanthan:
Accept the Modality Gap: An Exploration in the Hyperbolic Space. CVPR 2024: 27253-27262 - [c23]Ali Cheraghian
, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi:
Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. ECCV (41) 2024: 36-53 - [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 - [i28]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) - [i27]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) - [i26]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) - [i25]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR abs/2403.19205 (2024) - [i24]Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould:
Neural Experts: Mixture of Experts for Implicit Neural Representations. CoRR abs/2410.21643 (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 Ch'ng, 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 Ch'ng, 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 Ch'ng, 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 Ch'ng, 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
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last updated on 2024-12-26 01:55 CET by the dblp team
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