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Nikolay Savinov
Nikolay Savinov
Research Scientist, Google DeepMind
Подтвержден адрес электронной почты в домене google.com - Главная страница
Название
Процитировано
Процитировано
Год
Semantic3D.net: a new large-scale point cloud classification benchmark
T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys
arXiv preprint arXiv:1704.03847, 2017
8502017
Gemini: A Family of Highly Capable Multimodal Models
G Gemini Team
https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf, 2023
592*2023
Semi-parametric topological memory for navigation
N Savinov, A Dosovitskiy, V Koltun
ICLR 2018, 2018
3962018
Episodic curiosity through reachability
N Savinov, A Raichuk, R Marinier, D Vincent, M Pollefeys, T Lillicrap, ...
ICLR 2019, 2019
3172019
TI-POOLING: transformation-invariant pooling for feature learning in convolutional neural networks
D Laptev, N Savinov, JM Buhmann, M Pollefeys
CVPR 2016, 2016
3062016
Conditional affordance learning for driving in urban environments
A Sauer, N Savinov, A Geiger
CoRL 2018, 2018
2152018
Quad-networks: unsupervised learning to rank for interest point detection
N Savinov, A Seki, L Ladicky, T Sattler, M Pollefeys
CVPR 2017, 2017
2002017
Step-unrolled denoising autoencoders for text generation
N Savinov, J Chung, M Binkowski, E Elsen, A Oord
ICLR 2022, 2021
752021
Imitating interactive intelligence
J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ...
arXiv preprint arXiv:2012.05672, 2020
732020
Discrete optimization of ray potentials for semantic 3D reconstruction
N Savinov, L Ladicky, C Hane, M Pollefeys
CVPR 2015, 2015
712015
Semantic 3D reconstruction with continuous regularization and ray potentials using a visibility consistency constraint
N Savinov, C Hane, L Ladicky, M Pollefeys
CVPR 2016, 2016
632016
Class specific 3D object shape priors using surface normals
C Hane, N Savinov, M Pollefeys
CVPR 2014, 2014
602014
Continuous diffusion for categorical data
S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
572022
Self-conditioned embedding diffusion for text generation
R Strudel, C Tallec, F Altché, Y Du, Y Ganin, A Mensch, W Grathwohl, ...
arXiv preprint arXiv:2211.04236, 2022
41*2022
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
252024
Large-scale supervised learning for 3D point cloud labeling: Semantic3d.net
T Hackel, JD Wegner, N Savinov, L Ladicky, K Schindler, M Pollefeys
Photogrammetric Engineering & Remote Sensing, 2018
202018
Matching neural paths: transfer from recognition to correspondence search
N Savinov, L Ladicky, M Pollefeys
NeurIPS 2017, 2017
132017
RNN-based generative model for fine-grained sketching
A Jenal, N Savinov, T Sattler, G Chaurasia
arXiv preprint arXiv:1901.03991, 2019
42019
Discrete token processing using diffusion models
R Strudel, R Leblond, L Sifre, SEL Dieleman, N Savinov, WS Grathwohl, ...
US Patent App. 18/374,447, 2024
2024
AlphaCode 2 Technical Report
G AlphaCode Team
https://storage.googleapis.com/deepmind-media/AlphaCode2 …, 2023
2023
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