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Tristan Aumentado-Armstrong
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2020 – today
- 2024
- [c10]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Watch Your Steps: Local Image and Scene Editing by Text Instructions. ECCV (38) 2024: 111-129 - [i14]Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker:
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis. CoRR abs/2402.17986 (2024) - [i13]Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Probabilistic Directed Distance Fields for Ray-Based Shape Representations. CoRR abs/2404.09081 (2024) - 2023
- [j5]Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. Int. J. Comput. Vis. 131(7): 1611-1641 (2023) - [c9]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein:
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR 2023: 20669-20679 - [c8]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV 2023: 17769-17779 - [i12]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR abs/2304.09677 (2023) - [i11]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR abs/2308.08947 (2023) - [i10]Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR abs/2310.17880 (2023) - 2022
- [c7]Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Representing 3D Shapes with Probabilistic Directed Distance Fields. CVPR 2022: 19321-19332 - [c6]Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein:
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. WACV 2022: 2432-2441 - [i9]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein:
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR abs/2211.12254 (2022) - 2021
- [c5]Mete Kemertas, Tristan Aumentado-Armstrong:
Towards Robust Bisimulation Metric Learning. NeurIPS 2021: 4764-4777 - [i8]Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. CoRR abs/2103.00142 (2021) - [i7]Mete Kemertas, Tristan Aumentado-Armstrong:
Towards Robust Bisimulation Metric Learning. CoRR abs/2110.14096 (2021) - [i6]Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein:
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. CoRR abs/2111.03162 (2021) - [i5]Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Representing 3D Shapes with Probabilistic Directed Distance Fields. CoRR abs/2112.05300 (2021) - 2020
- [c4]Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson:
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. 3DV 2020: 230-240 - [i4]Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson:
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. CoRR abs/2011.08026 (2020)
2010 – 2019
- 2019
- [c3]Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson:
Geometric Disentanglement for Generative Latent Shape Models. ICCV 2019: 8180-8189 - [i3]Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson:
Geometric Disentanglement for Generative Latent Shape Models. CoRR abs/1908.06386 (2019) - 2018
- [i2]Tristan Aumentado-Armstrong:
Latent Molecular Optimization for Targeted Therapeutic Design. CoRR abs/1809.02032 (2018) - 2017
- [j4]Tristan Aumentado-Armstrong, Kaleem Siddiqi:
Stochastic Heat Kernel Estimation on Sampled Manifolds. Comput. Graph. Forum 36(5): 131-138 (2017) - [c2]Babak Samari, Tristan Aumentado-Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi:
Cartan Frames for Heart Wall Fiber Motion. FIMH 2017: 32-41 - [c1]Babak Samari, Tristan Aumentado-Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi:
Denoising Moving Heart Wall Fibers Using Cartan Frames. MICCAI (1) 2017: 672-680 - [i1]Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong, Natacha Beck, Pierre Bellec, Rémi Bernard, Axel Bonnet, Sorina Camarasu-Pop, Frédéric Cervenansky, Samir Das, Rafael Ferreira da Silva, Guillaume Flandin, Pascal Girard, Krzysztof J. Gorgolewski, Charles R. G. Guttmann, Valérie Hayot-Sasson, Pierre-Olivier Quirion, Pierre Rioux, Marc-Etienne Rousseau, Alan C. Evans:
Boutiques: a flexible framework for automated application integration in computing platforms. CoRR abs/1711.09713 (2017) - 2015
- [j3]Tristan Aumentado-Armstrong, Bogdan Istrate, Robert A. Murgita:
Algorithmic approaches to protein-protein interaction site prediction. Algorithms Mol. Biol. 10: 7 (2015) - [j2]Tristan Aumentado-Armstrong, Michael G. Metzen, Michael K. J. Sproule, Maurice J. Chacron:
Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. PLoS Comput. Biol. 11(10) (2015) - 2014
- [j1]Calem J. Bendell, Shalon Liu, Tristan Aumentado-Armstrong, Bogdan Istrate, Paul T. Cernek, Samuel Khan, Sergiu Picioreanu, Michael Zhao, Robert A. Murgita:
Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor. BMC Bioinform. 15: 82 (2014)
Coauthor Index
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last updated on 2024-10-11 18:20 CEST by the dblp team
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