Action recognition by single stream convolutional neural networks: An approach using combined motion and static information. - Sameera Ramasinghe; Ranga Rodrigo (ACPR, 2015)

Poster: Advanced Feature Based Deep Learning for Intelligent Human Activity Recognition: An Approach using Scene Context and Composition of Sub Events. - Sameera Ramasinghe (MobiSys (Companion Volume), 2016)

Micro Actions and Deep Static Features for Activity Recognition. - Sameera Ramasinghe; Jathushan Rajasegaran; Vinoj Jayasundara 001; Kanchana Ranasinghe; Ranga Rodrigo; Ajith A. Pasqual (DICTA, 2017)

A Context-Aware Capsule Network for Multi-label Classification. - Sameera Ramasinghe; C. D. Athuraliya; Salman H. Khan 001 (ECCV Workshops (3), 2018)

Volumetric Convolution: Automatic Representation Learning in Unit Ball. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes (CoRR, 2019)

Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. - Sameera Ramasinghe; Jathushan Rajasegaran; Vinoj Jayasundara 001; Kanchana Ranasinghe; Ranga Rodrigo; Ajith A. Pasqual (IEEE Trans. Circuits Syst. Video Technol., 2019)

Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes (ICPRAM, 2020)

Spectral-GANs for High-Resolution 3D Point-cloud Generation. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (IROS, 2020)

Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (WACV, 2020)

How to train your conditional GAN: An approach using geometrically structured latent manifolds. - Sameera Ramasinghe; Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes; Stephen Gould (CoRR, 2020)

Representation Learning on Unit Ball with 3D Roto-translational Equivariance. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (Int. J. Comput. Vis., 2020)

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. - Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe; Pengfei Fang; Christian Simon; Lars Petersson; Mehrtash Harandi (ICCV, 2021)

Conditional Generative Modeling via Learning the Latent Space. - Sameera Ramasinghe; Kanchana Nisal Ranasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (ICLR, 2021)

Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. - Sameera Ramasinghe; Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes; Stephen Gould (NeurIPS, 2021)

Rethinking Positional Encoding. - Jianqiao Zheng; Sameera Ramasinghe; Simon Lucey (CoRR, 2021)

Learning Positional Embeddings for Coordinate-MLPs. - Sameera Ramasinghe; Simon Lucey (CoRR, 2021)

Robust normalizing flows using Bernstein-type polynomials. - Sameera Ramasinghe; Kasun Fernando; Salman Khan 001; Nick Barnes (BMVC, 2022)

Enabling Equivariance for Arbitrary Lie Groups. - Lachlan E. MacDonald; Sameera Ramasinghe; Simon Lucey (CVPR, 2022)

Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. - Shin-Fang Ch'ng; Sameera Ramasinghe; Jamie Sherrah; Simon Lucey (ECCV (33), 2022)

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects. - Townim F. Chowdhury; Ali Cheraghian; Sameera Ramasinghe; Sahar Ahmadi; Morteza Saberi; Shafin Rahman (ECCV (20), 2022)

Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. - Sameera Ramasinghe; Simon Lucey (ECCV (33), 2022)

Trading Positional Complexity vs Deepness in Coordinate Networks. - Jianqiao Zheng; Sameera Ramasinghe; Xueqian Li; Simon Lucey (ECCV (27), 2022)

On the Frequency-bias of Coordinate-MLPs. - Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (NeurIPS, 2022)

On Regularizing Coordinate-MLPs. - Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (CoRR, 2022)

GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. - Shin-Fang Ch'ng; Sameera Ramasinghe; Jamie Sherrah; Simon Lucey (CoRR, 2022)

How You Start Matters for Generalization. - Sameera Ramasinghe; Lachlan E. MacDonald; Moshiur R. Farazi; Hemanth Saratchandran; Simon Lucey (CoRR, 2022)

A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. - Sameera Ramasinghe; Simon Lucey (AAAI, 2023)

Curvature-Aware Training for Coordinate Networks. - Hemanth Saratchandran; Shin-Fang Ch'ng; Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (ICCV, 2023)

How much does Initialization Affect Generalization? - Sameera Ramasinghe; Lachlan Ewen MacDonald; Moshiur R. Farazi; Hemanth Saratchandran; Simon Lucey (ICML, 2023)

BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Anton van den Hengel (CoRR, 2023)

On the effectiveness of neural priors in modeling dynamical systems. - Sameera Ramasinghe; Hemanth Saratchandran; Violetta Shevchenko; Simon Lucey (CoRR, 2023)

LumiNet: The Bright Side of Perceptual Knowledge Distillation. - Md. Ismail Hossain; Mirza M. Lutfe Elahi; Sameera Ramasinghe; Ali Cheraghian; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (CoRR, 2023)

Robust Point Cloud Processing Through Positional Embedding. - Jianqiao Zheng; Xueqian Li; Sameera Ramasinghe; Simon Lucey (3DV, 2024)

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Anton van den Hengel (AAAI, 2024)

Accept the Modality Gap: An Exploration in the Hyperbolic Space. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Thalaiyasingam Ajanthan (CVPR, 2024)

From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. - Hemanth Saratchandran; Sameera Ramasinghe; Simon Lucey (CVPR, 2024)

Backpropagation-free Network for 3D Test-time Adaptation. - Yanshuo Wang; Ali Cheraghian; Zeeshan Hayder; Jie Hong; Sameera Ramasinghe; Shafin Rahman; David Ahmedt-Aristizabal; Xuesong Li 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. - Xianghui Yang; Yan Zuo; Sameera Ramasinghe; Loris Bazzani; Gil Avraham; Anton van den Hengel (CVPR, 2024)

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. - Ali Cheraghian; Zeeshan Hayder; Sameera Ramasinghe; Shafin Rahman; Javad Jafaryahya; Lars Petersson; Mehrtash Harandi (ECCV (41), 2024)

Improving the Convergence of Dynamic NeRFs via Optimal Transport. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Hisham Husain; Anton van den Hengel (ICLR, 2024)

A sampling theory perspective on activations for implicit neural representations. - Hemanth Saratchandran; Sameera Ramasinghe; Violetta Shevchenko; Alexander Long; Simon Lucey (ICML, 2024)

Neural Experts: Mixture of Experts for Implicit Neural Representations. - Yizhak Ben-Shabat; Chamin Hewa Koneputugodage; Sameera Ramasinghe; Stephen Gould (NeurIPS, 2024)

Learning Visual Hierarchies with Hyperbolic Embeddings. - Ziwei Wang; Sameera Ramasinghe; Chenchen Xu; Julien Monteil; Loris Bazzani; Thalaiyasingam Ajanthan (CoRR, 2024)

VI^3NR: Variance Informed Initialization for Implicit Neural Representations. - Chamin Hewa Koneputugodage; Yizhak Ben-Shabat; Sameera Ramasinghe; Stephen Gould (CVPR, 2025)

QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Document Understanding. - Binh M. Le; Shaoyuan Xu; Jinmiao Fu; Zhishen Huang; Moyan Li; Yanhui Guo; Hongdong Li; Sameera Ramasinghe; Bryan Wang (CVPR Workshops, 2025)

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models. - Hamidreza Dastmalchi; Aijun An; Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe (WACV, 2025)

DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions. - Vishagar Arunan; Saeedha Nazar; Hashiru Pramuditha; Vinasirajan Viruthshaan; Sameera Ramasinghe; Simon Lucey; Ranga Rodrigo (CoRR, 2025)

Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data. - Yiqun Duan; Sameera Ramasinghe; Stephen Gould; Thalaiyasingam Ajanthan (CoRR, 2025)

QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document Understanding. - Binh M. Le; Shaoyuan Xu; Jinmiao Fu; Zhishen Huang; Moyan Li; Yanhui Guo; Hongdong Li; Sameera Ramasinghe; Bryan Wang (CoRR, 2025)

VI3NR: Variance Informed Initialization for Implicit Neural Representations. - Chamin Hewa Koneputugodage; Yizhak Ben-Shabat; Sameera Ramasinghe; Stephen Gould (CoRR, 2025)

Nesterov Method for Asynchronous Pipeline Parallel Optimization. - Thalaiyasingam Ajanthan; Sameera Ramasinghe; Yan Zuo; Gil Avraham; Alexander Long (CoRR, 2025)

Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism. - Sameera Ramasinghe; Thalaiyasingam Ajanthan; Gil Avraham; Yan Zuo; Alexander Long (CoRR, 2025)