E-LIB Suche - Ergebnisse für: Yudin, Dmitry

1

Hierarchical waste detection with weakly supervised segment..:

Yudin, Dmitry ; Zakharenko, Nikita ; Smetanin, Artem...
Engineering Applications of Artificial Intelligence. 128 (2024) - p. 107542 , 2024

Link: https://doi.org/10.1016/..

2

Fundamental solution of the time-space bi-fractional diffus..:

Allagui, Anis ; Paradezhenko, Georgii ; Pervishko, Anastasiia..
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

3

DAGM-Mono: Deformable Attention-Guided Modeling for Monocul..:

Murhij, Youshaa ; Yudin, Dmitry
Optical Memory and Neural Networks. 33 (2024) 2 - p. 144-156 , 2024

Link: https://doi.org/10.3103/..

4

OFMPNet: Deep end-to-end model for occupancy and flow predi..:

Murhij, Youshaa ; Yudin, Dmitry
Neurocomputing. 586 (2024) - p. 127649 , 2024

Link: https://doi.org/10.1016/..

5

Interactive Semantic Map Representation for Skill-Based Vis..:

Zemskova, Tatiana ; Staroverov, Aleksei ; Muravyev, Kirill..
IEEE Access. 12 (2024) - p. 44628-44639 , 2024

Link: https://doi.org/10.1109/..

6

A superstatistics approach to the modelling of memristor cu..:

Konlechner, Roland ; Allagui, Anis ; Antonov, Vladimir N..
Physica A: Statistical Mechanics and its Applications. 614 (2023) - p. 128555 , 2023

Link: https://doi.org/10.1016/..

7

Fine-Tuning Multimodal Transformer Models for Generating Ac..:

Staroverov, Aleksei ; Gorodetsky, Andrey S. ; Krishtopik, Andrei S....
IEEE Access. 11 (2023) - p. 130548-130559 , 2023

Link: https://doi.org/10.1109/..

8

TASFormer: Task-Aware Image Segmentation Transformer:

, In: Neural Information Processing; Lecture Notes in Computer Science,

Yudin, Dmitry ; Khorin, Aleksandr ; Zemskova, Tatiana. - p. 305-317 , 2023

Link: https://doi.org/10.1007/..

9

Offline Deep Reinforcement Learning for Robotic Arm Control..:

, In: Advances in Neural Computation, Machine Learning, and Cognitive Research VII; Studies in Computational Intelligence,

Zhang, Huzhenyu ; Yudin, Dmitry - p. 72-80 , 2023

Link: https://doi.org/10.1007/..

10

DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR..:

Klokov, Alexey A. ; Pak, Di Un ; Khorin, Aleksandr...
IEEE Access. 11 (2023) - p. 79341-79356 , 2023

Link: https://doi.org/10.1109/..

11

Rethinking Voxelization and Classification for 3D Object De..:

, In: Communications in Computer and Information Science; Neural Information Processing,

Murhij, Youshaa ; Golodkov, Alexander ; Yudin, Dmitry - p. 470-481 , 2023

Link: https://doi.org/10.1007/..

12

Impact of Loss Functions on the Training of LiDAR-based Pla..:

, In: Proceedings of the Seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23); Lecture Notes in Networks and Systems,

Melekhin, Alexander ; Yudin, Dmitry - p. 147-157 , 2023

Link: https://doi.org/10.1007/..

13

Thermal Annealing Driven Enhancement of Perpendicular Magne..:

Samardak, Aleksei Yu. ; Kolesnikov, Alexander ; Stebliy, Maksim E....
ACS Applied Electronic Materials. , 2023

Link: https://doi.org/10.1021/..

14

HPointLoc: Point-Based Indoor Place Recognition Using Synth..:

, In: Neural Information Processing; Lecture Notes in Computer Science,

Yudin, Dmitry ; Solomentsev, Yaroslav ; Musaev, Ruslan.. - p. 471-484 , 2023

Link: https://doi.org/10.1007/..

15

Neural Networks for Classification and Unsupervised Segment..:

Kuznetsov, Vladislav I. ; Yudin, Dmitry A.
Optical Memory and Neural Networks. 31 (2022) 3 - p. 245-255 , 2022

Link: https://doi.org/10.3103/..