Markus D. Solbach

Markus D. Solbach

York University

H-index: 5

North America-Canada

About Markus D. Solbach

Markus D. Solbach, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at York University, specializes in the field of computer science, computer vision, robotics, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

The psychophysics of human three-dimensional active visuospatial problem-solving

Active Observers in a 3D World: Human Visual Behaviours for Active Vision

Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification

Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested

Tracking active observers in 3D visuo-cognitive tasks

On the control of attentional processes in vision

Blocks world revisited: The effect of self-occlusion on classification by convolutional neural networks

Active Observers in a 3D World: The 3D Same-Different Task

Markus D. Solbach Information

University

Position

PhD Student Laboratory for Active and Attentive Vision

Citations(all)

163

Citations(since 2020)

149

Cited By

76

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Markus D. Solbach Skills & Research Interests

computer science

computer vision

robotics

machine learning

Top articles of Markus D. Solbach

The psychophysics of human three-dimensional active visuospatial problem-solving

Scientific Reports

2023/11/15

Active Observers in a 3D World: Human Visual Behaviours for Active Vision

2022/7/26

Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification

arXiv preprint arXiv:2110.06766

2021/10/13

Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested

arXiv preprint arXiv:2108.08145

2021/8/18

Tracking active observers in 3D visuo-cognitive tasks

2021/5/25

On the control of attentional processes in vision

Cortex

2021/4/1

Blocks world revisited: The effect of self-occlusion on classification by convolutional neural networks

2021

Active Observers in a 3D World: The 3D Same-Different Task

Journal of Vision

2020/10/20

PESAO: Psychophysical Experimental Setup for Active Observers

arXiv preprint arXiv:2009.09933

2020/9/15

See List of Professors in Markus D. Solbach University(York University)

Co-Authors

academic-engine