Tristan Aumentado-Armstrong

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Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoVerified email at eecs.yorku.ca
Marcus A BrubakerResearch Scientist, Google DeepMind; Associate Prof, York University; Affiliate, Vector InstituteVerified email at yorku.ca
Alex LevinshteinResearch Director, Samsung AI Center, TorontoVerified email at samsung.com
Ashkan MirzaeiUniversity of Toronto, NvidiaVerified email at cs.toronto.edu
Igor GilitschenskiAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Allan D. JepsonUniversity of TorontoVerified email at cs.toronto.edu
Jonathan KellyUniversity of Toronto Institute for Aerospace StudiesVerified email at utias.utoronto.ca
Stavros TsogkasSamsung AI Center, University of TorontoVerified email at cs.toronto.edu
Sven DickinsonProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Tristan GlatardCentre for Addiction and Mental Health (CAMH)Verified email at camh.ca
Alan Evans, PhD, FRS, FRSC, FCAHS...Distinguished James McGill Professor of Neurology, Victor Dahdaleh Chair in Neurosciences, McGill U.Verified email at mcgill.ca
Gregory KiarChild Mind InstituteVerified email at childmind.org
Sorina Camarasu-PopUniv Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATISVerified email at creatis.insa-lyon.fr
Rafael Ferreira da SilvaOak Ridge National LaboratoryVerified email at ornl.gov
Pierre Lune BellecCRIUGM, Psychology, University of MontrealVerified email at criugm.qc.ca
Marc-Etienne RousseauMcGill UniversityVerified email at mcgill.ca
Kaleem SiddiqiProfessor of Computer Science, McGill UniversityVerified email at cim.mcgill.ca
Kaustuv BasuStaff Scientist at McGill UniversityVerified email at mcgill.ca
Attila SikUniversity of PecsVerified email at pte.hu
Jin ChenUniversity of Central FloridaVerified email at mail.ucf.edu

Tristan Aumentado-Armstrong

PhD from University of Toronto | Samsung Artificial Intelligence Centre Toronto | York University

Verified email at mail.utoronto.ca - Homepage

Artificial Intelligence Computer Vision Machine Learning Computational Biology


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SPIn-NeRF: Multiview segmentation and perceptual inpainting with neural radiance fields A Mirzaei, T Aumentado-Armstrong, KG Derpanis, J Kelly, MA Brubaker, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	111	2023
Algorithmic approaches to protein-protein interaction site prediction TT Aumentado-Armstrong, B Istrate, RA Murgita Algorithms for Molecular Biology 10 (1), 7, 2015	69	2015
Molecular mechanism of DRP1 assembly studied in vitro by cryo-electron microscopy K Basu, D Lajoie, T Aumentado-Armstrong, J Chen, RI Koning, B Bossy, ... PloS one 12 (6), e0179397, 2017	66	2017
Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor CJ Bendell, S Liu, T Aumentado-Armstrong, B Istrate, PT Cernek, S Khan, ... BMC bioinformatics 15 (1), 82, 2014	55	2014
Geometric disentanglement for generative latent shape models T Aumentado-Armstrong, S Tsogkas, A Jepson, S Dickinson Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	54	2019
Boutiques: a flexible framework to integrate command-line applications in computing platforms T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ... GigaScience 7 (5), giy016, 2018	50*	2018
Towards robust bisimulation metric learning M Kemertas, T Aumentado-Armstrong Advances in Neural Information Processing Systems 34, 4764-4777, 2021	46	2021
Latent Molecular Optimization for Targeted Therapeutic Design T Aumentado-Armstrong arXiv preprint arXiv:1809.02032, 2018	44	2018
Electrosensory midbrain neurons display feature invariant responses to natural communication stimuli T Aumentado-Armstrong, MG Metzen, MKJ Sproule, MJ Chacron PLoS computational biology 11 (10), e1004430, 2015	32	2015
Reference-guided controllable inpainting of neural radiance fields A Mirzaei, T Aumentado-Armstrong, MA Brubaker, J Kelly, A Levinshtein, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	29	2023
Watch your steps: Local image and scene editing by text instructions A Mirzaei, T Aumentado-Armstrong, MA Brubaker, J Kelly, A Levinshtein, ... European Conference on Computer Vision, 2024	22	2024
Representing 3D Shapes with Probabilistic Directed Distance Fields T Aumentado-Armstrong, S Tsogkas, S Dickinson, AD Jepson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	20	2022
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks VS Bhaskara, T Aumentado-Armstrong, AD Jepson, A Levinshtein Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	13	2022
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation T Aumentado-Armstrong, A Levinshtein, S Tsogkas, KG Derpanis, ... 2020 International Conference on 3D Vision (3DV), 230-240, 2020	11	2020
Disentangling geometric deformation spaces in generative latent shape models T Aumentado-Armstrong, S Tsogkas, S Dickinson, A Jepson International Journal of Computer Vision 131 (7), 1611-1641, 2023	10	2023
Conduction in the Heart Wall: Helicoidal fibers minimize diffusion Bias T Aumentado-Armstrong, A Kadivar, P Savadjiev, SW Zucker, K Siddiqi Scientific Reports 8 (1), 7165, 2018	8	2018
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations T Aumentado-Armstrong, A Mirzaei, MA Brubaker, J Kelly, A Levinshtein, ... arXiv preprint arXiv:2310.17880, 2023	4	2023
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis JJ Yu, T Aumentado-Armstrong, F Forghani, KG Derpanis, MA Brubaker arXiv preprint arXiv:2402.17986, 2024	3*	2024
Stochastic Heat Kernel Estimation on Sampled Manifolds T Aumentado‐Armstrong, K Siddiqi Computer Graphics Forum 36 (5), 131-138, 2017	2	2017
Cartan frames for heart wall fiber motion B Samari, T Aumentado-Armstrong, G Strijkers, M Froeling, K Siddiqi Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017	2	2017

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