Class Specific 3D Object Shape Priors Using Surface Normals. - Christian Häne; Nikolay Savinov; Marc Pollefeys (CVPR, 2014)

Discrete optimization of ray potentials for semantic 3D reconstruction. - Nikolay Savinov; Lubor Ladicky; Christian Hane; Marc Pollefeys (CVPR, 2015)

TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. - Dmitry Laptev; Nikolay Savinov; Joachim M. Buhmann; Marc Pollefeys (CVPR, 2016)

Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. - Nikolay Savinov; Christian Häne; Lubor Ladicky; Marc Pollefeys (CVPR, 2016)

Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. - Nikolay Savinov; Akihito Seki; Lubor Ladicky; Torsten Sattler; Marc Pollefeys (CVPR, 2017)

Matching neural paths: transfer from recognition to correspondence search. - Nikolay Savinov; Lubor Ladicky; Marc Pollefeys (NIPS, 2017)

Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. - Timo Hackel; Nikolay Savinov; Lubor Ladicky; Jan Dirk Wegner; Konrad Schindler; Marc Pollefeys (CoRR, 2017)

Conditional Affordance Learning for Driving in Urban Environments. - Axel Sauer; Nikolay Savinov; Andreas Geiger 001 (CoRL, 2018)

Semi-parametric topological memory for navigation. - Nikolay Savinov; Alexey Dosovitskiy; Vladlen Koltun (ICLR (Poster), 2018)

Episodic Curiosity through Reachability. - Nikolay Savinov; Anton Raichuk; Damien Vincent; Raphaël Marinier; Marc Pollefeys; Timothy P. Lillicrap; Sylvain Gelly (ICLR (Poster), 2019)

RNN-based Generative Model for Fine-Grained Sketching. - Andrin Jenal; Nikolay Savinov; Torsten Sattler; Gaurav Chaurasia (CoRR, 2019)

Modeling the visual world: reconstruction and neural episodic representation. - Nikolay Savinov (2019)

Imitating Interactive Intelligence. - Josh Abramson; Arun Ahuja; Arthur Brussee; Federico Carnevale; Mary Cassin; Stephen Clark; Andrew Dudzik; Petko Georgiev; Aurelia Guy; Tim Harley; Felix Hill; Alden Hung; et al. (CoRR, 2020)

Step-unrolled Denoising Autoencoders for Text Generation. - Nikolay Savinov; Junyoung Chung; Mikolaj Binkowski; Erich Elsen; Aäron van den Oord (ICLR, 2022)

Self-conditioned Embedding Diffusion for Text Generation. - Robin Strudel; Corentin Tallec; Florent Altché; Yilun Du; Yaroslav Ganin; Arthur Mensch; Will Grathwohl; Nikolay Savinov; Sander Dieleman; Laurent Sifre; Rémi Leblond (CoRR, 2022)

Continuous diffusion for categorical data. - Sander Dieleman; Laurent Sartran; Arman Roshannai; Nikolay Savinov; Yaroslav Ganin; Pierre H. Richemond; Arnaud Doucet; Robin Strudel; Chris Dyer; Conor Durkan; Curtis Hawthorne; Rémi Leblond; et al. (CoRR, 2022)

Gemini: A Family of Highly Capable Multimodal Models. - Rohan Anil; Sebastian Borgeaud; Yonghui Wu; Jean-Baptiste Alayrac; Jiahui Yu; Radu Soricut; Johan Schalkwyk; Andrew M. Dai; Anja Hauth; Katie Millican; David Silver; Slav Petrov; et al. (CoRR, 2023)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. - Machel Reid; Nikolay Savinov; Denis Teplyashin; Dmitry Lepikhin; Timothy P. Lillicrap; Jean-Baptiste Alayrac; Radu Soricut; Angeliki Lazaridou; Orhan Firat; Julian Schrittwieser; Ioannis Antonoglou; Rohan Anil; et al. (CoRR, 2024)