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ORCIDNikita Durasov
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2020 – today
- 2024
[j1]Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua:
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference. Trans. Mach. Learn. Res. 2024 (2024)- [c6]Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua:
Enabling Uncertainty Estimation in Iterative Neural Networks. ICML 2024 - [i11]Nikita Durasov, Doruk Öner
, Jonathan Donier, Hieu Le, Pascal Fua:
Enabling Uncertainty Estimation in Iterative Neural Networks. CoRR abs/2403.16732 (2024) - [i10]Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev:
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. CoRR abs/2406.09250 (2024) - [i9]Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua:
IT3: Idempotent Test-Time Training. CoRR abs/2410.04201 (2024) - [i8]Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez:
Uncertainty Estimation for 3D Object Detection via Evidential Learning. CoRR abs/2410.23910 (2024) - 2023
- [c5]Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner:
How to Boost Face Recognition with StyleGAN? ICCV 2023: 20867-20877 - 2022
- [c4]Weizhe Liu, Nikita Durasov, Pascal Fua:
Leveraging Self-Supervision for Cross-Domain Crowd Counting. CVPR 2022: 5331-5342 - [i7]Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner:
How to Boost Face Recognition with StyleGAN? CoRR abs/2210.10090 (2022) - [i6]Nikita Durasov, Nik Dorndorf, Pascal Fua:
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference. CoRR abs/2211.11435 (2022) - [i5]Nikita Durasov, Nik Dorndorf, Pascal Fua:
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings. CoRR abs/2211.11546 (2022) - 2021
- [c3]Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
Masksembles for Uncertainty Estimation. CVPR 2021: 13539-13548 - [i4]Weizhe Liu, Nikita Durasov, Pascal Fua:
Leveraging Self-Supervision for Cross-Domain Crowd Counting. CoRR abs/2103.16291 (2021) - [i3]Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua:
DEBOSH: Deep Bayesian Shape Optimization. CoRR abs/2109.13337 (2021) - 2020
- [i2]Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
Masksembles for Uncertainty Estimation. CoRR abs/2012.08334 (2020)
2010 – 2019
- 2019
- [c2]Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Pavel Bogomolov, Anton Konushin:
Double Refinement Network for Efficient Monocular Depth Estimation. IROS 2019: 5889-5894 - 2018
- [c1]Sergey Ivanov, Nikita Durasov, Evgeny Burnaev:
Learning Node Embeddings for Influence Set Completion. ICDM Workshops 2018: 1034-1037 - [i1]Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Anton Konushin:
Double Refinement Network for Efficient Indoor Monocular Depth Estimation. CoRR abs/1811.08466 (2018)
Coauthor Index
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