628 citations · 679 across the 9 of their papers we have counts for
10 papers
Agile gesture recognition for capacitive sensing devices: adapting on-the-job
Ying Liu, Liucheng Guo, Valeri A. Makarov +4
Automated hand gesture recognition has been a focus of the AI community for decades. Traditionally, work in this domain revolved largely around scenarios assuming the availability…
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving
Andrei Zanfir, Mihai Zanfir, Alexander Gorban +4
Autonomous driving is an exciting new industry, posing important research questions. Within the perception module, 3D human pose estimation is an emerging technology, which can ena…
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes, Jonathan Bac, Aziz Fouché +3
Domain adaptation is a popular paradigm in modern machine learning which aims at tackling the problem of divergence (or shift) between the labeled training and validation datasets…
An Informational Space Based Semantic Analysis for Scientific Texts
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley +1
One major problem in Natural Language Processing is the automatic analysis and representation of human language. Human language is ambiguous and deeper understanding of semantics a…
Learning from few examples with nonlinear feature maps
Ivan Y. Tyukin, Oliver Sutton, Alexander N. Gorban
In this work we consider the problem of data classification in post-classical settings were the number of training examples consists of mere few data points. We explore the phenome…
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving
Jingxiao Zheng, Xinwei Shi, Alexander Gorban +9
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,…
Large Scale Scene Text Verification with Guided Attention
Dafang He, Yeqing Li, Alexander Gorban +5
Many tasks are related to determining if a particular text string exists in an image. In this work, we propose a new framework that learns this task in an end-to-end way. The frame…
Attention-based Extraction of Structured Information from Street View Imagery
Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee +4
We present a neural network model - based on CNNs, RNNs and a novel attention mechanism - which achieves 84.2% accuracy on the challenging French Street Name Signs (FSNS) dataset,…
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang +4
Automatically recognizing and localizing wide ranges of human actions has crucial importance for video understanding. Towards this goal, the THUMOS challenge was introduced in 2013…
Detecting events and key actors in multi-person videos
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija +3
Multi-person event recognition is a challenging task, often with many people active in the scene but only a small subset contributing to an actual event. In this paper, we propose…