Nikolay Savinov

Research Scientist, Google

Joined

September 2017

Names

Nikolay Savinov

Emails

****@inf.ethz.ch (Confirmed)

****@google.com (Confirmed)

****@phystech.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

Google (google.com)

2019 – Present

Research Intern

Google (google.com)

2018 – 2019

PhD student

Swiss Federal Institute of Technology (ethz.ch)

2013 – 2019

Research Intern

Intel (intel.com)

2017 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Marc Pollefeys

2013 – 2019

Expertise

Self-supervised Learning

Present

Unsupervised Learning

Present

Deep Learning

Present

Publications

Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Sussman Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Step-unrolled Denoising Autoencoders for Text Generation
Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aaron van den Oord
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
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, Zachary Kenton, Jessica Landon, Timothy P. Lillicrap, Kory Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma et al. (4 additional authors not shown)
- 2020 (modified: 17 May 2023)
- CoRR 2020
- Readers: Everyone
RNN-based Generative Model for Fine-Grained Sketching
Andrin Jenal, Nikolay Savinov, Torsten Sattler, Gaurav Chaurasia
- 2019 (modified: 07 Jan 2026)
- CoRR 2019
- Readers: Everyone
Matching neural paths: transfer from recognition to correspondence search
Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection
Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
- 2017 (modified: 10 Nov 2022)
- CVPR 2017
- Readers: Everyone
TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks
Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
- 2016 (modified: 10 Nov 2022)
- CVPR 2016
- Readers: Everyone
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
- 2016 (modified: 10 Nov 2022)
- CVPR 2016
- Readers: Everyone
Discrete optimization of ray potentials for semantic 3D reconstruction
Nikolay Savinov, Lubor Ladicky, Christian Hane, Marc Pollefeys
- 2015 (modified: 10 Nov 2022)
- CVPR 2015
- Readers: Everyone
Class Specific 3D Object Shape Priors Using Surface Normals
Christian Häne, Nikolay Savinov, Marc Pollefeys
- 2014 (modified: 10 Nov 2022)
- CVPR 2014
- Readers: Everyone

Co-Authors

View all 46 co-authors