Igor Vozniak

Multimodal multi-pedestrian path prediction for autonomous cars

M. Klusch, Atanas Poibrenski, Igor Vozniak, 2021, ACM SIGAPP Applied Computing Review.

HAIL: Modular Agent-Based Pedestrian Imitation Learning

Matthias Klusch, André Antakli, Igor Vozniak, 2021, PAAMS.

Context-empowered Visual Attention Prediction in Pedestrian Scenarios

Igor Vozniak, Christian Mueller, Nils Lipp, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Classification of Manual Versus Autonomous Driving based on Machine Learning of Eye Movement Patterns

D. Stricker, Igor Vozniak, Stephan Krauß, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters pdf

Zeeshan Khan Suri, Igor Vozniak, Christian Müller, 2021, BMVC.

To Drive or to Be Driven? The Impact of Autopilot, Navigation System, and Printed Maps on Driver's Cognitive Workload and Spatial Knowledge

Didier Stricker, Bruno Mirbach, Iuliia Brishtel, 2021, ISPRS Int. J. Geo Inf..

Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds

Igor Vozniak, Nils Lipp, Ahmed Abouelazm, 2023, VISIGRAPP.

M2P3: multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision

Matthias Klusch, Christian Müller, Atanas Poibrenski, 2020, SAC.