Pavel Gurevich

dblp:14/11301 · DBLP profile ↗
← Back
6ranked-venue papers
4as first author
0since 2021 · last 2020
0000-0002-8086-4807ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 2 first-authorArtificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 67% Deep learning architectures and training · 33%
Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 57% Interaction techniques and input · 20% Human-robot interaction · 17%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › deep probabilistic models › bayesian deep learning
bayesian neural networks
0.412020
Gradient conjugate priors and multi-layer neural networks · Artif. Intell. 2020
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference › prior distribution
conjugate priors
0.412020
Gradient conjugate priors and multi-layer neural networks · Artif. Intell. 2020
Machine learning › Deep learning architectures and training › training optimization
gradient-based training
0.412020
Gradient conjugate priors and multi-layer neural networks · Artif. Intell. 2020
Collaborative and social computing › remote collaboration
remote assistance
0.322013
Ownership and control of point of view in remote assistance · CHI 2013
TeleAdvisor: a versatile augmented reality tool for remote assistance · CHI 2012
Interaction techniques and input › spatial interaction
camera control
0.212013
Ownership and control of point of view in remote assistance · CHI 2013
Collaborative and social computing
remote collaboration
0.212013
Ownership and control of point of view in remote assistance · CHI 2013
Human-robot interaction › teleoperation
augmented reality teleoperation
0.112012
TeleAdvisor: a versatile augmented reality tool for remote assistance · CHI 2012
Immersive interaction
augmented reality
0.012012
TeleAdvisor: a versatile augmented reality tool for remote assistance · CHI 2012

Methods — techniques the papers use, named apart from their topics

conjugate gradient · 0.4bayesian inference · 0.4user study · 0.2experiment · 0.2system design · 0.1active tracking · 0.1
YearPublicationVenuePosition
2020 Gradient conjugate priors and multi-layer neural networks
Pavel Gurevich, Hannes Stuke
Artif. Intell.1
2019 Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty
Pavel Gurevich, Hannes Stuke
Neurocomputing1
2015 Design and Implementation of TeleAdvisor: a Projection-Based Augmented Reality System for Remote Collaboration
Pavel Gurevich, Joel Lanir, Benjamin Cohen
Comput. Support. Cooperative Work.1
2014 Navigating immersive virtual environments through a foot controller
abstract
This paper introduces our ongoing work on the Foot Controller Device as an interface for navigation in Immersive Virtual Environments. The Foot Controller is a special, arduino-based control mat equipped with an array of pressure sensors and able to function as a touch surface for feet. What makes it special is that sensor cells can be accessed individually, allowing for a sophisticate control algorithms based on pressure distribution. The low-level software provides a set of recognition features which can be used to implement intuitive navigation metaphors. In this paper we introduce the device and its operating modes, present its use as a navigation interface, and discuss the results of a preliminary pilot user study aimed to evaluate its usability.
Marcello Carrozzino, Giovanni Avveduto, Franco Tecchia, Pavel Gurevich, Benjamin Cohen
VRST4
2013 Ownership and control of point of view in remote assistance
abstract
In this paper we investigate user performance and user behavior, related to the issue of who controls the point of view in a remote assistance scenario. We describe an experiment that examined users completing two different tasks with the aid of a remote gesturing device under two conditions: when control of the camera and gesturing point of view was in the hands of the remote helper, and when it was in the hands of the worker. Results indicate that in general, when most of the knowledge is with the helper, it is preferable to leave control in the hands of the helper. However, these results may depend on the situation and task at hand.
Joel Lanir, Ran Stone, Benjamin Cohen, Pavel Gurevich
CHI4
2012 TeleAdvisor: a versatile augmented reality tool for remote assistance
abstract
TeleAdvisor is a novel solution designed to support remote assistance tasks in many real-world scenarios. It consists of a video camera and a small projector mounted at the end of a tele-operated robotic arm. This enables a remote helper to view and interact with the workers' workspace, while controlling the point of view. It also provides the worker with a hands-free transportable device to be placed anywhere in his or her environment. Active tracking of the projection space is used in order to reliably correlate between the camera's view and the projector space.
Pavel Gurevich, Joel Lanir, Benjamin Cohen, Ran Stone
CHI1