Sotabase

Career

· Senior AI Research Scientist, Samsung Artificial Intelligence Centre (SAIC)
· Research Scientist, Samsung Research America (SRA)
· Doctor of Philosophy (PhD) in Computer Science, University of Toronto
· Masters of Science (MSc) in Computer Science, University of Toronto
· PhD Student, University of Toronto

Publications (46)

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
Computer Vision and Pattern Recognition · 2022
161
cited
Geometric Disentanglement for Generative Latent Shape Models
IEEE International Conference on Computer Vision · 2019
62
cited
Towards Robust Bisimulation Metric Learning
Neural Information Processing Systems · 2021
57
cited
Watch Your Steps: Local Image and Scene Editing by Text Instructions
European Conference on Computer Vision · 2023
49
cited
Latent Molecular Optimization for Targeted Therapeutic Design
arXiv.org · 2018
45
cited
Reference-guided Controllable Inpainting of Neural Radiance Fields
IEEE International Conference on Computer Vision · 2023
44
cited
Representing 3D Shapes with Probabilistic Directed Distance Fields
Computer Vision and Pattern Recognition · 2021
25
cited
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
International Conference on 3D Vision · 2020
8
cited
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
International Journal of Computer Vision · 2021
8
cited
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis
European Conference on Computer Vision · 2024
8
cited
Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias
Scientific Reports · 2018
6
cited
Geometry-Aware Diffusion Models for Multiview Scene Inpainting
arXiv.org · 2025
6
cited
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2021
6
cited
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations
arXiv.org · 2023
6
cited
Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution
arXiv.org · 2025
3
cited
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Computer Vision and Pattern Recognition · 2025
2
cited
Stochastic Heat Kernel Estimation on Sampled Manifolds
Computer graphics forum (Print) · 2017
2
cited
Cartan Frames for Heart Wall Fiber Motion
Functional Imaging and Modeling of the Heart · 2017
1
cited
Denoising Moving Heart Wall Fibers Using Cartan Frames
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017
Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis
arXiv.org · 2025
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Tristan Aumentado-Armstrong | Researcher Profile | Sotabase | Sotabase