Sameera Ramasinghe

About Sameera Ramasinghe

Sameera Ramasinghe, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Australian National University, specializes in the field of Computer vision, Machine Learning, Deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

A Sampling Theory Perspective on Activations for Implicit Neural Representations

Accept the modality gap: An exploration in the hyperbolic space

Backpropagation-free Network for 3D Test-time Adaptation

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Robust point cloud processing through positional embedding

How much does initialization affect generalization?

On the Optimality of Activations in Implicit Neural Representations

Sameera Ramasinghe Information

University

Position

Graduate student

Citations(all)

371

Citations(since 2020)

356

Cited By

57

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Sameera Ramasinghe Skills & Research Interests

Computer vision

Machine Learning

Deep learning

Top articles of Sameera Ramasinghe

Title

Journal

Author(s)

Publication Date

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

arXiv preprint arXiv:2402.18842

Xianghui Yang

Yan Zuo

Sameera Ramasinghe

Loris Bazzani

Gil Avraham

...

2024/2/29

A Sampling Theory Perspective on Activations for Implicit Neural Representations

arXiv preprint arXiv:2402.05427

Hemanth Saratchandran

Sameera Ramasinghe

Violetta Shevchenko

Alexander Long

Simon Lucey

2024/2/8

Accept the modality gap: An exploration in the hyperbolic space

Sameera Ramasinghe

Violetta Shevchenko

Gil Avraham

Ajanthan Thalaiyasingam

2024

Backpropagation-free Network for 3D Test-time Adaptation

arXiv preprint arXiv:2403.18442

Yanshuo Wang

Ali Cheraghian

Zeeshan Hayder

Jie Hong

Sameera Ramasinghe

...

2024/3/27

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Proceedings of the AAAI Conference on Artificial Intelligence

Sameera Ramasinghe

Violetta Shevchenko

Gil Avraham

Anton Van Den Hengel

2024/3/24

Robust point cloud processing through positional embedding

arXiv preprint arXiv:2309.00339

Jianqiao Zheng

Xueqian Li

Sameera Ramasinghe

Simon Lucey

2023/9/1

How much does initialization affect generalization?

Sameera Ramasinghe

Lachlan Ewen Macdonald

Moshiur Farazi

Hemanth Saratchandran

Simon Lucey

2023/7/3

On the Optimality of Activations in Implicit Neural Representations

Sameera Ramasinghe

Hemanth Saratchandran

Violetta Shevchenko

Alexander Long

Simon Lucey

2023/10/13

A learnable radial basis positional embedding for coordinate-mlps

Proceedings of the AAAI Conference on Artificial Intelligence

Sameera Ramasinghe

Simon Lucey

2023/6/26

On the effectiveness of neural priors in modeling dynamical systems

Sameera Ramasinghe

Hemanth Saratchandran

Violetta Shevchenko

Simon Lucey

2023/3/10

Improving the Convergence of Dynamic NeRFs via Optimal Transport

Sameera Ramasinghe

Violetta Shevchenko

Gil Avraham

Hisham Husain

Anton van den Hengel

2023/10/13

Curvature-aware training for coordinate networks

Hemanth Saratchandran

Shin-Fang Chng

Sameera Ramasinghe

Lachlan MacDonald

Simon Lucey

2023

LumiNet: The Bright Side of Perceptual Knowledge Distillation

arXiv preprint arXiv:2310.03669

Md Ismail Hossain

MM Elahi

Sameera Ramasinghe

Ali Cheraghian

Fuad Rahman

...

2023/10/5

How you start matters for generalization

arXiv preprint arXiv:2206.08558

Sameera Ramasinghe

Lachlan MacDonald

Moshiur Farazi

Hemanth Saratchandran

Simon Lucey

2022/6/17

On the frequency-bias of coordinate-mlps

Advances in Neural Information Processing Systems

Sameera Ramasinghe

Lachlan E MacDonald

Simon Lucey

2022/12/6

On regularizing coordinate-mlps

arXiv preprint arXiv:2202.00790

Sameera Ramasinghe

Lachlan MacDonald

Simon Lucey

2022/2/1

Gaussian activated neural radiance fields for high fidelity reconstruction and pose estimation

Shin-Fang Chng

Sameera Ramasinghe

Jamie Sherrah

Simon Lucey

2022/10/23

On Incorporating Inductive Biases into Deep Neural Networks

Sameera Ramasinghe

2022

Trading positional complexity vs deepness in coordinate networks

Jianqiao* Zheng

Sameera* Ramasinghe

Xueqian Li

Simon Lucey

2022

Enabling equivariance for arbitrary lie groups

Lachlan E MacDonald

Sameera Ramasinghe

Simon Lucey

2022

See List of Professors in Sameera Ramasinghe University(Australian National University)

Co-Authors

academic-engine