Mikhail Kuznetsov

25 papers A* 3C 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Visual Implicit Geometry Transformer for Autonomous Driving.
CoRR
Arsenii Shirokov, Mikhail Kuznetsov, Danila Stepochkin, Egor Evdokimov, Daniil Glazkov, Nikolay Patakin, Anton Konushin, Dmitry Senushkin
2025 J jnl
Adaptive Blockwise Search: Inference-Time Alignment for Large Language Models.
CoRR
Mohammad Atif Quamar, Mohammad Areeb, Nishant Sharma, Ananth Shreekumar, Jonathan Rosenthal, Muslum Ozgur Ozmen, Mikhail Kuznetsov, Z. Berkay Celik
2025 — conf
MonoDeMB: Comprehensive Monocular DepthMap Benchmark.
KDD (2)
Vaagn Chopuryan, Mikhail Kuznetsov, Vasilii Latonov, Vladimir Mashurov, Natalia Semenova
2025 J jnl
STARS: Segment-level Token Alignment with Rejection Sampling in Large Language Models.
CoRR
Mohammad Atif Quamar, Mohammad Areeb, Mikhail Kuznetsov, Muslum Ozgur Ozmen, Z. Berkay Celik
2024 J jnl
Distributionally robust self-supervised learning for tabular data.
CoRR
Shantanu Ghosh, Tiankang Xie, Mikhail Kuznetsov
2024 J jnl
HLogformer: A Hierarchical Transformer for Representing Log Data.
CoRR
Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov, MohamadAli Torkamani
2024 A* conf
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach.
NeurIPS
Maxim Nikolaev, Mikhail Kuznetsov, Dmitry P. Vetrov, Aibek Alanov
2024 J jnl
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach.
CoRR
Maxim Nikolaev, Mikhail Kuznetsov, Dmitry P. Vetrov, Aibek Alanov
2024 — conf
ImgAdaPoinTr: Improving Point Cloud Completion via Images and Segmentation.
VISIGRAPP (4): VISAPP
Vaagn Chopuryan, Mikhail Kuznetsov, Vasilii Latonov, Natalia Semenova
2024 J jnl
Modelling user notification scenarios in privacy policies.
Cybersecur.
Mikhail Kuznetsov, Evgenia Novikova, Igor V. Kotenko
2024 — conf
Salient Object-Aware Background Generation using Text-Guided Diffusion Models.
CVPR Workshops
Amir Erfan Eshratifar, João V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan
2024 J jnl
Salient Object-Aware Background Generation using Text-Guided Diffusion Models.
CoRR
Amir Erfan Eshratifar, João V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan
2023 J jnl
Revising deep learning methods in parking lot occupancy detection.
CoRR
Anastasia Martynova, Mikhail Kuznetsov, Vadim Porvatov, Vladislav Tishin, Andrey Kuznetsov, Natalia Semenova, Ksenia Kuznetsova
2023 — conf
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation.
AdKDD@KDD
Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan
2023 J jnl
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation.
CoRR
Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan
2022 C conf
An approach to formal desription of the user notification scenarios in privacy policies.
PDP
Mikhail Kuznetsov, Evgenia Novikova, Igor V. Kotenko
2022 J jnl
Privacy Policies of IoT Devices: Collection and Analysis.
Sensors
Mikhail Kuznetsov, Evgenia Novikova, Igor V. Kotenko, Elena Doynikova
2022 — conf
Quadrotor Control with a Guaranteed Presence of Output Signals under a Prespecified State Bounds.
MED
Mikhail Kuznetsov, Sergey A. Vrazhevsky, Ekaterina Khalyamina
2021 A* conf
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search.
KDD
Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko
2021 J jnl
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search.
CoRR
Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko
2020 J jnl
Probabilistic Label Trees for Extreme Multi-label Classification.
CoRR
Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete
2019 — conf
"Smart City" Governance Technologies Development in the Era of the 4th Industrial Revolution.
IntelliSys (2)
Mikhail Kuznetsov, Maria Nikishova, Anna Belova
2019 J jnl
On the computational complexity of the probabilistic label tree algorithms.
CoRR
Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu
2018 A* conf
A no-regret generalization of hierarchical softmax to extreme multi-label classification.
NeurIPS
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 J jnl
A no-regret generalization of hierarchical softmax to extreme multi-label classification.
CoRR
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski