Nikita Durasov

According to our database, Nikita Durasov authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers.

Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua

Trans. Mach. Learn. Res., 2026

2025

Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression.

Enrico Foglia, Benjamin Bobbia, Nikita Durasov, Michael Bauerheim, Pascal Fua, Stéphane Moreau, Thierry Jardin

CoRR, March, 2025

D3DR: Lighting-Aware Object Insertion in Gaussian Splatting.

Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua

CoRR, March, 2025

IT3: Idempotent Test-Time Training.

Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference.

Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua

Trans. Mach. Learn. Res., 2024

Uncertainty Estimation for 3D Object Detection via Evidential Learning.

Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez

CoRR, 2024

IT³: Idempotent Test-Time Training.

Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua

CoRR, 2024

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models.

Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev

CoRR, 2024

Enabling Uncertainty Estimation in Iterative Neural Networks.

Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

How to Boost Face Recognition with StyleGAN?

Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings.

Nikita Durasov, Nik Dorndorf, Pascal Fua

CoRR, 2022

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference.

Nikita Durasov, Nik Dorndorf, Pascal Fua

CoRR, 2022

Leveraging Self-Supervision for Cross-Domain Crowd Counting.

Weizhe Liu, Nikita Durasov, Pascal Fua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DEBOSH: Deep Bayesian Shape Optimization.

Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua

CoRR, 2021

Masksembles for Uncertainty Estimation.

Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Double Refinement Network for Efficient Monocular Depth Estimation.

Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Pavel Bogomolov, Anton Konushin

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Double Refinement Network for Efficient Indoor Monocular Depth Estimation.

Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Anton Konushin

CoRR, 2018

Learning Node Embeddings for Influence Set Completion.

Sergey Ivanov, Nikita Durasov, Evgeny Burnaev

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018