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Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
We propose a novel end-to-end model that uses caption-to-image retrieval as a `downstream' task to guide the process of phrase localization.
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention
We show that our model outperforms other baselines on the benchmark Ad dataset and also show qualitative results to highlight the advantages of using multihop co-attention.
Investigating the Parameter Space of Evolutionary Algorithms
The practice of evolutionary algorithms involves the tuning of many parameters.
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