no code implementations • 12 May 2023 • Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander Gorban, Evgeny Mirkes, Ivan Y. Tyukin
However, there is growing demand for gesture recognition technology that can be implemented on low-power devices using limited sensor data instead of high-dimensional inputs like hand images.
no code implementations • 15 Dec 2022 • Andrei Zanfir, Mihai Zanfir, Alexander Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
Autonomous driving is an exciting new industry, posing important research questions.
no code implementations • 22 Dec 2021 • Jingxiao Zheng, Xinwei Shi, Alexander Gorban, Junhua Mao, Yang song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, CongCong Li, Dragomir Anguelov
3D human pose estimation (HPE) in autonomous vehicles (AV) differs from other use cases in many factors, including the 3D resolution and range of data, absence of dense depth maps, failure modes for LiDAR, relative location between the camera and LiDAR, and a high bar for estimation accuracy.
1 code implementation • 31 Aug 2021 • Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov, Alexey Zaikin, Victor Kazantsev, Alexander Gorban, Susanna Gordleeva
We show how arbitrary patterns can be loaded, then stored for a certain interval of time, and retrieved if the appropriate clue pattern is applied to the input.
no code implementations • 26 Apr 2021 • Neslihan Suzen, Alexander Gorban, Jeremy Levesley, Evgeny Mirkes
We show that an informational approach to representing the meaning of a text has offered a way to effectively predict the scientific impact of research papers.
no code implementations • 18 Sep 2020 • Neslihan Suzen, Alexander Gorban, Jeremy Levesley, Evgeny Mirkes
In this paper we argue that (lexical) meaning in science can be represented in a 13 dimension Meaning Space.
2 code implementations • 27 Jul 2018 • Neslihan Suzen, Alexander Gorban, Jeremy Levesley, Evgeny Mirkes
The main novelty in this paper is that we design a model to predict marks based on the similarities between the student answers and the model answer.
no code implementations • 23 Apr 2018 • Dafang He, Yeqing Li, Alexander Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles
In this work, we propose a new framework that learns this task in an end-to-end way.
no code implementations • CVPR 2016 • Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei
In this paper, we propose a model which learns to detect events in such videos while automatically "attending" to the people responsible for the event.