Search Results for author:
Found 3 papers, 0 papers with code
CRAFT: Complementary Recommendations Using Adversarial Feature Transformer
Such a conditional generative model can produce multiple novel samples of complementary items (in the feature space) for a given query item.
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters
We address the problem of minimizing human effort in interactive tracking by learning sequence-specific model parameters.
Multiple Hypothesis Tracking Revisited
This paper revisits the classical multiple hypotheses tracking (MHT) algorithm in a tracking-by-detection framework.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
