Estimating the information gap between textual and visual representations

By Christian Henning, Ralph Ewerth. 2017

33 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Multimodal Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Rameswar Panda
2. Niluthpol Chowdhury Mithun
3. Evangelos E. Papalexakis
4. Amit K. Roy-Chowdhury
5. Florian Metze
6. Juncheng Billy Li
7. Cordelia Schmid
8. Andrew Zisserman

In Multimodal Learning

1. Amit K. Roy-Chowdhury
2. Florian Metze
3. Rameswar Panda
4. Evangelos E. Papalexakis
5. Juncheng Billy Li
6. Niluthpol Chowdhury Mithun
7. Jean-Baptiste Alayrac

Citations in the corpus

• Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval (2018, background): “Image-Text Retrieval: Recently, there has been significant interest in developing powerful image-text retrieval methods in multimedia, computer vision and machine learning communities [15, 24].”
• Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval (2018, background): “Recently, there has been significant interest in learning robust visual-semantic embeddings for image-text retrieval [12, 16].”