Sameera Ramasinghe

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Simon LuceyDirector, Australian Institute for Machine Learning (AIML), University of AdelaideVerified email at adelaide.edu
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
Shafin RahmanAssistant Professor, ECE, North South University, BangladeshVerified email at northsouth.edu
Ali cheraghianData61/CSIRO | Australian National UniversityVerified email at data61.csiro.au
Stephen GouldProfessor at Australian National UniversityVerified email at anu.edu.au
Ranga RodrigoDepartment of Electronic and Telecommunication Engineering, University of MoratuwaVerified email at uom.lk
Lars PeterssonSenior Principal Research Scientist, Group Leader, Data61/CSIROVerified email at data61.csiro.au
Jianqiao ZhengPhD, The University of AdelaieVerified email at umich.edu
Jamie SherrahUniversity of Adelaide, Australian Institute of Machine LearningVerified email at adelaide.edu.au
Kanchana RanasinghePhD Student, Stony Brook UniversityVerified email at cs.stonybrook.edu
Moshiur FaraziUniversity of Doha for Science and Technology, Australian National UniversityVerified email at anu.edu.au
K. G. Manosha ChathuramaliPostdoctoral Researcher , Kyushu UniversityVerified email at kyudai.jp
CD AthuraliyaConscientAIVerified email at conscient.ai
Jathushan RajasegaranPhD student, UC BerkeleyVerified email at eecs.berkeley.edu
Ajith PasqualSenior Lecturer, University of MoratuwaVerified email at ent.mrt.ac.lk
Vinoj JayasundaraGraduate Student, University of Maryland, College Park, USAVerified email at umd.edu
Kasun FernandoLecturer, Brunel University LondonVerified email at brunel.ac.uk

Sameera Ramasinghe

Applied scientist, Amazon

Verified email at adelaide.edu.au

Computer vision Machine Learning Deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Beyond periodicity: Towards a unifying framework for activations in coordinate-mlps S Ramasinghe, S Lucey European Conference on Computer Vision, 142-158, 2022	112	2022
Gaussian activated neural radiance fields for high fidelity reconstruction and pose estimation SF Chng, S Ramasinghe, J Sherrah, S Lucey European Conference on Computer Vision, 264-280, 2022	111	2022
Synthesized feature based few-shot class-incremental learning on a mixture of subspaces A Cheraghian, S Rahman, S Ramasinghe, P Fang, C Simon, L Petersson, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021	78	2021
Rethinking positional encoding J Zheng, S Ramasinghe, S Lucey arXiv preprint arXiv:2107.02561, 2021	60	2021
Spectral-gans for high-resolution 3d point-cloud generation S Ramasinghe, S Khan, N Barnes, S Gould 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020	42	2020
Enabling equivariance for arbitrary lie groups LE MacDonald, S Ramasinghe, S Lucey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	31	2022
Recognition of badminton strokes using dense trajectories S Ramasinghe, KGM Chathuramali, R Rodrigo 7th International Conference on Information and Automation for …, 2014	22	2014
Action recognition by single stream convolutional neural networks: An approach using combined motion and static information S Ramasinghe, R Rodrigo 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 101-105, 2015	21	2015
Trading positional complexity vs deepness in coordinate networks J Zheng, S Ramasinghe, X Li, S Lucey European Conference on Computer Vision, 144-160, 2022	19	2022
A context-aware capsule network for multi-label classification S Ramasinghe, CD Athuraliya, SH Khan Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018	19	2018
Few-shot class-incremental learning for 3d point cloud objects T Chowdhury, A Cheraghian, S Ramasinghe, S Ahmadi, M Saberi, ... European Conference on Computer Vision, 204-220, 2022	17	2022
Combined static and motion features for deep-networks-based activity recognition in videos S Ramasinghe, J Rajasegaran, V Jayasundara, K Ranasinghe, ... IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2693-2707, 2017	15	2017
On the frequency-bias of coordinate-mlps S Ramasinghe, LE MacDonald, S Lucey Advances in Neural Information Processing Systems 35, 796-809, 2022	13	2022
Representation learning on unit ball with 3d roto-translational equivariance S Ramasinghe, S Khan, N Barnes, S Gould International Journal of Computer Vision 128 (6), 1612-1634, 2020	12	2020
Spectral-gans for high-resolution 3d point-cloud generation. In 2020 IEEE S Ramasinghe, S Khan, N Barnes, S Gould RSJ International Conference on Intelligent Robots and Systems (IROS), 8169-8176, 0	12
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds S Ramasinghe, M Farazi, SH Khan, N Barnes, S Gould Advances in Neural Information Processing Systems 34, 19487-19499, 2021	11	2021
Robust normalizing flows using Bernstein-type polynomials S Ramasinghe, K Fernando, S Khan, N Barnes arXiv preprint arXiv:2102.03509, 2021	11	2021
Accept the modality gap: An exploration in the hyperbolic space S Ramasinghe, V Shevchenko, G Avraham, A Thalaiyasingam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	9	2024
Learning positional embeddings for coordinate-mlps S Ramasinghe, S Lucey arXiv preprint arXiv:2112.11577, 2021	9	2021
Conditional Generative Modeling via Learning the Latent Space S Ramasinghe, K Ranasinghe, S Khan, N Barnes, S Gould International Conference on Learning Representations. 2020., 2020	9	2020

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