20 citations · 47 across the 14 of their papers we have counts for
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cs.CV2022★ 11 cited
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick, Li Jing, Sayan Nag +4
Vision-language pre-training (VLP) has recently proven highly effective for various uni- and multi-modal downstream applications. However, most existing end-to-end VLP methods use…
cs.CV2022★ 2 cited
Where in the World is this Image? Transformer-based Geo-localization in the Wild
Shraman Pramanick, Ewa M. Nowara, Joshua Gleason +2
Predicting the geographic location (geo-localization) from a single ground-level RGB image taken anywhere in the world is a very challenging problem. The challenges include huge di…