| 2024 | VISIGRAPP | HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation. | Igor Vozniak, Pavel Astreika, Philipp Mller, Nils Lipp, Christian Mller, Philipp Slusallek |
| 2023 | WACV | Context-empowered Visual Attention Prediction in Pedestrian Scenarios. | Igor Vozniak, Philipp Mller, Lorena Hell, Nils Lipp, Ahmed Abouelazm, Christian Mller |
| 2022 | SMC | Classification of Manual Versus Autonomous Driving based on Machine Learning of Eye Movement Patterns. | Iuliia Brishtel, Stephan Krau, Thomas Schmidt, Jason Raphael Rambach, Igor Vozniak, Didier Stricker |
| 2021 | BMVC | CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters. | Sai Shyam Chanduri, Igor Vozniak, Zeeshan Khan Suri |
| 2021 | PAAMS | HAIL: Modular Agent-Based Pedestrian Imitation Learning. | Andr Antakli, Igor Vozniak, Nils Lipp, Matthias Klusch, Christian Mller |
| 2020 | IJCCI | InfoSalGAIL: Visual Attention-empowered Imitation Learning of Pedestrian Behavior in Critical Traffic Scenarios. | Igor Vozniak, Matthias Klusch, Andr Antakli, Christian Mller |
| 2020 | SAC | M2P3: multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision. | Atanas Poibrenski, Matthias Klusch, Igor Vozniak, Christian Mller |