Sameera Ramasinghe
26 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Research topics
Deep Learning
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Optimization & Theory Β· Machine Learning
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Keywords
novel view synthesis
(4)
neural radiance field
(3)
implicit neural representation
(3)
hyperbolic space
(2)
activation function
(2)
neural network initialization
(2)
diffusion model
(2)
neural network optimization
(2)
domain adaptation
(2)
variational autoencoder
(2)
signal representation
(2)
3d reconstruction
(2)
neural field
(2)
3d point cloud
(2)
test-time adaptation
(2)
representation learning
(2)
fourier analysis
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point cloud
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dynamic scene
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network initialization
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Papers
DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions
WACV 2026
Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval
ICCV 2025
Nesterov Method for Asynchronous Pipeline Parallel Optimization
ICML 2025
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
WACV 2025
VI^3NR: Variance Informed Initialization for Implicit Neural Representations
CVPR 2025
Accept the Modality Gap: An Exploration in the Hyperbolic Space
CVPR 2024
A sampling theory perspective on activations for implicit neural representations
ICML 2024
Backpropagation-free Network for 3D Test-time Adaptation
CVPR 2024
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling
AAAI 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
CVPR 2024
Improving the Convergence of Dynamic NeRFs via Optimal Transport
ICLR 2024
Neural Experts: Mixture of Experts for Implicit Neural Representations
NeurIPS 2024
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising
CVPR 2024
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
AAAI 2023
Curvature-Aware Training for Coordinate Networks
ICCV 2023
How much does Initialization Affect Generalization?
ICML 2023
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
ECCV 2022
Enabling Equivariance for Arbitrary Lie Groups
CVPR 2022
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects
ECCV 2022
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation
ECCV 2022
On the Frequency-bias of Coordinate-MLPs
NeurIPS 2022
Trading Positional Complexity vs Deepness in Coordinate Networks
ECCV 2022
Conditional Generative Modeling via Learning the Latent Space
ICLR 2021
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
NeurIPS 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
ICCV 2021
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
WACV 2020