Igor Vozniak

According to our database1, Igor Vozniak authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ARISE - Adaptive Refinement and Iterative Scenario Engineering.
CoRR, January, 2026

ObjectVisA-120: Object-based Visual Attention Prediction in Interactive Street-crossing Environments.
CoRR, January, 2026

2025
MonoSORT3D: A Monocular Approach for Online Auxiliary-Free Multi-Object Tracking.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

2024
HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Context-empowered Visual Attention Prediction in Pedestrian Scenarios.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Point Cloud Neighborhood Estimation Method Using Deep Neuro-Evolution.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022
Classification of Manual Versus Autonomous Driving based on Machine Learning of Eye Movement Patterns.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
To Drive or to Be Driven? The Impact of Autopilot, Navigation System, and Printed Maps on Driver's Cognitive Workload and Spatial Knowledge.
ISPRS Int. J. Geo Inf., 2021

CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters.
CoRR, 2021

HAIL: Modular Agent-Based Pedestrian Imitation Learning.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
M2P3: multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

InfoSalGAIL: Visual Attention-empowered Imitation Learning of Pedestrian Behavior in Critical Traffic Scenarios.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020


  Loading...