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๐Ÿ“ Zรผrich, Switzerland

Hello!

Iโ€™m Nikita Durasov, a Research Scientist at NVIDIA (Nvidia), working on semantic video search and vision-language models (VLMs) post-training.

Previously, I worked at Apple, Amazon, and Samsung AI on deep learning and computer vision. I completed my PhD at EPFL (๐Ÿ‡จ๐Ÿ‡ญ) with Pascal Fua at CVLAB, focusing on uncertainty and robustness.



Research


Iโ€™m interested in advancing vision-language models (VLMs) and video understanding, building scalable retrieval and reasoning pipelines that turn complex video data into searchable, interpretable knowledge.

My work explores robustness, generalization, and semantic search to make multimodal AI systems more powerful and reliable. For a non-exhaustive list of my research interests, refer to my Google Scholar.

I have also contributed as a reviewer for various academic conferences and journals, such as: CVPR NeurIPS ICLR ICML ICCV ECCV ICRA IROS ACCV RA-L IJCV AISTATS TPAMI TMLR WACV, and other (full list).

My Stats from Google Scholar:

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Publications

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Handbook of Bayesian Deep Learning

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Kevin Murphy, Yarin Gal, Andrew Gordon Wilson, Philipp Hennig, Vincent Fortuin, Nikita Durasov, Theodore Papamarkou, et al.

BOOK 2026

pdf zenodo web

Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers

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Vsevolod Skorokhodov*, Nikita Durasov*, Pascal Fua

TMLR 2026

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Uncertainty-Guided Data Curation for 3D Object Detection

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Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T Law, James Lucas, Pascal Fua, Jose M Alvarez

CVPRW 2026

pdf patent page

Scalable Parallel Prompting for Complex AV Video Captioning

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April Yang*, Roberto Amoroso*, Nikita Durasov, Devansh Bisla, Sandipan Kundu, Elmar Haussmann, Ruchi Bhargava, Maying Shen, Nadine Chang, Jose M. Alvarez

CVPRW 2026

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MirrorCheck: Efficient Adversarial Defense for Vision-Language Models

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

CVPRW 2026 (Paper Award)

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IT3: Idempotent Test-Time Training

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

ICML 2025

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Enabling Uncertainty Estimation in Iterative Neural Networks

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

ICML 2024

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

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Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua

TMLR 2024 ICMLW 2024

openreview pdf code page

How to Boost Face Recognition with StyleGAN?

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Artem Sevastopolsky, Yuri Malkov, Nikita Durasov, Luisa Verdoliva, Matthias NieรŸner

ICCV 2023

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Leveraging Self-Supervision for Cross-Domain Crowd Counting

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Weizhe Liu, Nikita Durasov, Pascal Fua

CVPR 2022 (Oral)

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Masksembles for Uncertainty Estimation

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Nikita Durasov, Timur Bagautdinov, Pierre Baque, Pascal Fua

CVPR 2021

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Double refinement network for efficient indoor monocular depth estimation

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

IROS 2019

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Learning node embeddings for influence set completion

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Sergei Ivanov, Nikita Durasov, Evgeny Burnaev

ICDM 2018

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