5 citations · 5 across the 4 of their papers we have counts for
4 papers
ObjectVisA-120: Object-based Visual Attention Prediction in Interactive Street-crossing Environments
Igor Vozniak, Philipp Mueller, Nils Lipp +6
The object-based nature of human visual attention is well-known in cognitive science, but has only played a minor role in computational visual attention models so far. This is main…
ARISE -- Adaptive Refinement and Iterative Scenario Engineering
Konstantin Poddubnyy, Igor Vozniak, Ivan Burmistrov +4
The effectiveness of collision-free trajectory planners depends on the quality and diversity of training data, especially for rare scenarios. A widely used approach to improve data…
Context-empowered Visual Attention Prediction in Pedestrian Scenarios
Igor Vozniak, Philipp Mueller, Lorena Hell +3
Effective and flexible allocation of visual attention is key for pedestrians who have to navigate to a desired goal under different conditions of urgency and safety preferences. Wh…
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters
Sai Shyam Chanduri, Zeeshan Khan Suri, Igor Vozniak +1
Perceiving 3D information is of paramount importance in many applications of computer vision. Recent advances in monocular depth estimation have shown that gaining such knowledge f…