Tristan Aumentado-Armstrong

39 papers A* 6A 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration. CoRR Amirhossein Kazerouni, Maitreya Suin, Tristan Aumentado-Armstrong, Sina Honari, Amanpreet Walia, Iqbal Mohomed, Konstantinos G. Derpanis, Babak Taati, Alex Levinshtein
2025	A*	`conf`	Augmenting Perceptual Super-Resolution via Image Quality Predictors. CVPR Fengjia Zhang, Samrudhdhi B. Rangrej, Tristan Aumentado-Armstrong, Afsaneh Fazly, Alex Levinshtein
2025	J	`jnl`	Augmenting Perceptual Super-Resolution via Image Quality Predictors. CoRR Fengjia Zhang, Samrudhdhi B. Rangrej, Tristan Aumentado-Armstrong, Afsaneh Fazly, Alex Levinshtein
2025	J	`jnl`	Geometry-Aware Diffusion Models for Multiview Scene Inpainting. CoRR Ahmad Salimi, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Konstantinos G. Derpanis
2025	J	`jnl`	Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution. CoRR Weiming Ren, Raghav Goyal, Zhiming Hu, Tristan Aumentado-Armstrong, Iqbal Mohomed, Alex Levinshtein
2025	J	`jnl`	Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis. CoRR Fereshteh Forghani, Jason J. Yu, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Marcus A. Brubaker
2025	J	`jnl`	Probabilistic Directed Distance Fields for Ray-Based Shape Representations. IEEE Trans. Pattern Anal. Mach. Intell. Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan Douglas Jepson
2025	J	`jnl`	Qonvolution: Towards Learning High-Frequency Signals with Queried Convolution. CoRR Abhinav Kumar, Tristan Aumentado-Armstrong, Lazar Valkov, Gopal Sharma, Alex Levinshtein, Radek Grzeszczuk, Suren Kumar
2024	—	`—`	On Disentangled Analysis-by-Synthesis Shape Representations Tristan Aumentado-Armstrong
2024	—	`conf`	PolyOculus: Simultaneous Multi-view Image-Based Novel View Synthesis. ECCV (63) Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
2024	J	`jnl`	PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis. CoRR Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
2024	J	`jnl`	Probabilistic Directed Distance Fields for Ray-Based Shape Representations. CoRR Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson
2024	—	`conf`	Watch Your Steps: Local Image and Scene Editing by Text Instructions. ECCV (38) Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	J	`jnl`	Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. Int. J. Comput. Vis. Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson
2023	J	`jnl`	Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	A*	`conf`	Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	J	`jnl`	Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	A*	`conf`	SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2023	J	`jnl`	Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2022	A	`conf`	GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. WACV Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein
2022	A*	`conf`	Representing 3D Shapes with Probabilistic Directed Distance Fields. CVPR Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson
2022	J	`jnl`	SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2021	J	`jnl`	Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. CoRR Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson
2021	J	`jnl`	GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. CoRR Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein
2021	J	`jnl`	Representing 3D Shapes with Probabilistic Directed Distance Fields. CoRR Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson
2021	A*	`conf`	Towards Robust Bisimulation Metric Learning. NeurIPS Mete Kemertas, Tristan Aumentado-Armstrong
2021	J	`jnl`	Towards Robust Bisimulation Metric Learning. CoRR Mete Kemertas, Tristan Aumentado-Armstrong
2020	—	`conf`	Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. 3DV Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
2020	J	`jnl`	Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. CoRR Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
2019	A*	`conf`	Geometric Disentanglement for Generative Latent Shape Models. ICCV Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson
2019	J	`jnl`	Geometric Disentanglement for Generative Latent Shape Models. CoRR Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson
2018	J	`jnl`	Latent Molecular Optimization for Targeted Therapeutic Design. CoRR Tristan Aumentado-Armstrong
2017	J	`jnl`	Boutiques: a flexible framework for automated application integration in computing platforms. CoRR 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
2017	—	`conf`	Cartan Frames for Heart Wall Fiber Motion. FIMH Babak Samari, Tristan Aumentado-Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi
2017	—	`conf`	Denoising Moving Heart Wall Fibers Using Cartan Frames. MICCAI (1) Babak Samari, Tristan Aumentado-Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi
2017	J	`jnl`	Stochastic Heat Kernel Estimation on Sampled Manifolds. Comput. Graph. Forum Tristan Aumentado-Armstrong, Kaleem Siddiqi
2015	J	`jnl`	Algorithmic approaches to protein-protein interaction site prediction. Algorithms Mol. Biol. Tristan Aumentado-Armstrong, Bogdan Istrate, Robert A. Murgita
2015	J	`jnl`	Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. PLoS Comput. Biol. Tristan Aumentado-Armstrong, Michael G. Metzen, Michael K. J. Sproule, Maurice J. Chacron
2014	J	`jnl`	Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor. BMC Bioinform. Calem J. Bendell, Shalon Liu, Tristan Aumentado-Armstrong, Bogdan Istrate, Paul T. Cernek, Samuel Khan, Sergiu Picioreanu, Michael Zhao, Robert A. Murgita