Search Results for author: Alexander Gorban

Found 7 papers, 2 papers with code

Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving

no code implementations22 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.

3D Human Pose Estimation Autonomous Driving

Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network

1 code implementation31 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.

Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles

no code implementations26 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.

Citation Prediction General Classification +1

Principal Components of the Meaning

no code implementations18 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.

Automatic Short Answer Grading and Feedback Using Text Mining Methods

2 code implementations27 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.

Detecting events and key actors in multi-person videos

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.

Event Detection General Classification

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