1 citations · 1 across the 3 of their papers we have counts for
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R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut
Yingjie Niu, Ming Ding, Maoning Ge +3
Transformer-based models have gained popularity in the field of natural language processing (NLP) and are extensively utilized in computer vision tasks and multi-modal models such…
Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar +3
Human beings cooperatively navigate rule-constrained environments by adhering to mutually known navigational patterns, which may be represented as directional pathways or road lane…
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision
Robin Karlsson, David Robert Wong, Simon Thompson +1
Interconnected road lanes are a central concept for navigating urban roads. Currently, most autonomous vehicles rely on preconstructed lane maps as designing an algorithmic model i…
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision
Robin Karlsson, Erik Sjoberg
Humans navigate complex environments in an organized yet flexible manner, adapting to the context and implicit social rules. Understanding these naturally learned patterns of behav…