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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
Gemini: A Family of Highly Capable Multimodal Models
G Gemini Team
https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf, 2023
2692*2023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
9712024
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
9692017
Semi-parametric topological memory for navigation
N Savinov, A Dosovitskiy, V Koltun
ICLR 2018, 2018
4372018
Episodic curiosity through reachability
N Savinov, A Raichuk, R Marinier, D Vincent, M Pollefeys, T Lillicrap, ...
ICLR 2019, 2019
3552019
TI-POOLING: transformation-invariant pooling for feature learning in convolutional neural networks
D Laptev, N Savinov, JM Buhmann, M Pollefeys
CVPR 2016, 2016
3182016
Gemini: A family of highly capable multimodal models
R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805 1, 2023
3062023
Conditional affordance learning for driving in urban environments
A Sauer, N Savinov, A Geiger
CoRL 2018, 2018
2362018
Quad-networks: unsupervised learning to rank for interest point detection
N Savinov, A Seki, L Ladicky, T Sattler, M Pollefeys
CVPR 2017, 2017
2272017
Step-unrolled denoising autoencoders for text generation
N Savinov, J Chung, M Binkowski, E Elsen, A Oord
ICLR 2022, 2021
972021
Continuous diffusion for categorical data
S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
902022
Imitating interactive intelligence
J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ...
arXiv preprint arXiv:2012.05672, 2020
762020
Discrete optimization of ray potentials for semantic 3D reconstruction
N Savinov, L Ladicky, C Hane, M Pollefeys
CVPR 2015, 2015
732015
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
652016
Class specific 3D object shape priors using surface normals
C Hane, N Savinov, M Pollefeys
CVPR 2014, 2014
622014
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
61*2022
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
232018
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
MR Gemini-Team, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, ...
ArXiv preprint, 2024
192024
Matching neural paths: transfer from recognition to correspondence search
N Savinov, L Ladicky, M Pollefeys
NeurIPS 2017, 2017
132017
AlphaCode 2 Technical Report
G AlphaCode Team
https://storage.googleapis.com/deepmind-media/AlphaCode2 …, 2023
6*2023
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