EDBT 2026 Demo / reviewers in the wild / expert
Pavel Gurevich
dblp:14/11301
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › deep probabilistic models › bayesian deep learning
bayesian neural networks |
0.4 | 1 | 2020 | 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 |
0.4 | 1 | 2020 | Gradient conjugate priors and multi-layer neural networks · Artif. Intell. 2020 |
Machine learning › Deep learning architectures and training › training optimization
gradient-based training |
0.4 | 1 | 2020 | Gradient conjugate priors and multi-layer neural networks · Artif. Intell. 2020 |
Collaborative and social computing › remote collaboration
remote assistance |
0.3 | 2 | 2013 | 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 |
0.2 | 1 | 2013 | Ownership and control of point of view in remote assistance · CHI 2013 |
Collaborative and social computing
remote collaboration |
0.2 | 1 | 2013 | Ownership and control of point of view in remote assistance · CHI 2013 |
Human-robot interaction › teleoperation
augmented reality teleoperation |
0.1 | 1 | 2012 | TeleAdvisor: a versatile augmented reality tool for remote assistance · CHI 2012 |
Immersive interaction
augmented reality |
0.0 | 1 | 2012 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 |
Neurocomputing | 1 |
| 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 controllerabstractThis 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 |
VRST | 4 |
| 2013 | Ownership and control of point of view in remote assistanceabstractIn 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 |
CHI | 4 |
| 2012 | TeleAdvisor: a versatile augmented reality tool for remote assistanceabstractTeleAdvisor 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 |
CHI | 1 |