137 citations · 242 across the 5 of their papers we have counts for
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cs.CV2020★ 1 cited
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim, Mayank Bansal
Deep neural networks are a key component of behavior prediction and motion generation for self-driving cars. One of their main drawbacks is a lack of transparency: they should prov…
cs.CV2014★ 2 cited
Geometric Polynomial Constraints in Higher-Order Graph Matching
Mayank Bansal, Kostas Daniilidis
Correspondence is a ubiquitous problem in computer vision and graph matching has been a natural way to formalize correspondence as an optimization problem. Recently, graph matching…