Dmitry Yudin
МФТИ
- Robotics and Sensor-Based Localization
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
Чем занимается
Ключевые темы по публикациям: Robotics and Sensor-Based Localization; Advanced Neural Network Applications; Advanced Image and Video Retrieval Techniques; Multimodal Machine Learning Applications; Robotic Path Planning Algorithms.
Последние работы
Все 86 в OpenAlexReal-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning2020 · аннотациясвернуть
In the last years, deep learning and reinforcement learning methods have significantly improved mobile robots in such fields as perception, navigation, and planning. But there are still gaps in applying these methods to…
Object Detection with Deep Neural Networks for Reinforcement Learning in the Task of Autonomous Vehicles Path Planning at the Intersection2019 · аннотациясвернуть
Abstract Among a number of problems in the behavior planning of an unmanned vehicle the central one is movement in difficult areas. In particular, such areas are intersections at which direct interaction with other road…
Real-Time Lidar-based Localization of Mobile Ground Robot2021 · аннотациясвернуть
Paper discusses modern methods for localization of mobile ground robot in outdoor environment. Special attention is payed to lidar-based methods which allow to do precise simultaneous localization and mapping (SLAM)…
- Hierarchical waste detection with weakly supervised segmentation in images from recycling plants2023
- Detection of Big Animals on Images with Road Scenes using Deep Learning2019
- DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes2026
- Scene graph-driven reasoning for action planning of humanoid robot2026
- Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph2025
Наукометрия
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Шаблон письма
Здравствуйте, Dmitry Yudin! Я студент(ка) [курс, факультет, вуз]. Мне интересна тема [опишите интересы своими словами]. Прочитал(а) вашу работу «Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning» (2020) — она близка к тому, чем я хочу заниматься. Хочу обсудить возможность выполнить научную работу под вашим руководством. Буду благодарен(на) за ответ — готов(а) рассказать о себе подробнее и прислать резюме. С уважением, [Имя Фамилия]
На этапе теста письмо отправляешь сам из своей почты. Отправка из сервиса и статусы заявок — скоро.