Nikita Durasov

21 papers A* 5A 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
D3DR: Lighting-Aware Object Insertion in Gaussian Splatting.
CoRR
Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua
2025 J jnl
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression.
CoRR
Enrico Foglia, Benjamin Bobbia, Nikita Durasov, Michael Bauerheim, Pascal Fua, Stéphane Moreau, Thierry Jardin
2025 A* conf
IT3: Idempotent Test-Time Training.
ICML
Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua
2024 A* conf
Enabling Uncertainty Estimation in Iterative Neural Networks.
ICML
Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua
2024 J jnl
Enabling Uncertainty Estimation in Iterative Neural Networks.
CoRR
Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua
2024 J jnl
IT
CoRR
Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua
2024 J jnl
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models.
CoRR
Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev
2024 J jnl
Uncertainty Estimation for 3D Object Detection via Evidential Learning.
CoRR
Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez
2024 J jnl
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference.
Trans. Mach. Learn. Res.
Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua
2023 A* conf
How to Boost Face Recognition with StyleGAN?
ICCV
Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner
2022 J jnl
How to Boost Face Recognition with StyleGAN?
CoRR
Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner
2022 A* conf
Leveraging Self-Supervision for Cross-Domain Crowd Counting.
CVPR
Weizhe Liu, Nikita Durasov, Pascal Fua
2022 J jnl
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings.
CoRR
Nikita Durasov, Nik Dorndorf, Pascal Fua
2022 J jnl
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference.
CoRR
Nikita Durasov, Nik Dorndorf, Pascal Fua
2021 J jnl
DEBOSH: Deep Bayesian Shape Optimization.
CoRR
Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua
2021 J jnl
Leveraging Self-Supervision for Cross-Domain Crowd Counting.
CoRR
Weizhe Liu, Nikita Durasov, Pascal Fua
2021 A* conf
Masksembles for Uncertainty Estimation.
CVPR
Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
2020 J jnl
Masksembles for Uncertainty Estimation.
CoRR
Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
2019 A conf
Double Refinement Network for Efficient Monocular Depth Estimation.
IROS
Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Pavel Bogomolov, Anton Konushin
2018 J jnl
Double Refinement Network for Efficient Indoor Monocular Depth Estimation.
CoRR
Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Anton Konushin
2018 — conf
Learning Node Embeddings for Influence Set Completion.
ICDM Workshops
Sergey Ivanov, Nikita Durasov, Evgeny Burnaev