most citedMultitask Text-to-Visual Embedding with Titles and Clickthrough Data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2021

Multimodal Contrastive Training for Visual Representation Learning

Xin Yuan, Zhe Lin, Jason Kuen +5

We develop an approach to learning visual representations that embraces multimodal data, driven by a combination of intra- and inter-modal similarity preservation objectives. Unlik…

cs.CV2021

ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity

Dan Ruta, Saeid Motiian, Baldo Faieta +5

We present ALADIN (All Layer AdaIN); a novel architecture for searching images based on the similarity of their artistic style. Representation learning is critical to visual search…

cs.CV2019★ 2 cited

Multitask Text-to-Visual Embedding with Titles and Clickthrough Data

Pranav Aggarwal, Zhe Lin, Baldo Faieta +1

Text-visual (or called semantic-visual) embedding is a central problem in vision-language research. It typically involves mapping of an image and a text description to a common fea…