Multimodal Fusion for Video Search Reranking

By Shikui Wei, Yao Zhao, Zhenfeng Zhu, Nan Liu. 2010

86 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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. Trevor Darrell
2. Luc Van Gool
3. Kate Saenko
4. Dacheng Tao
5. Marcus Rohrbach
6. Yi Yang
7. Xiaogang Wang
8. Bernt Schiele

Citations in the corpus

• Expectation Learning for Adaptive Crossmodal Stimuli Association (2018, background): “Most of these models propose solutions for crossmodal fusion at an early [5] or late stage [6], [7], e.”
• Translating Videos to Natural Language Using Deep Recurrent Neural Networks (2014, methodology): “Predicting a natural language desription of still images has received considerable attention, with some of the earliest works by (Kulkarni et al., 2011; Yao et al., 2010).”
• Sequence to Sequence -- Video to Text (2015, background): “Early work on video captioning considered tagging videos with metadata [1] and clustering captions and videos [14, 25, 42] for retrieval tasks.”