Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction
By Jianfeng Dong, Xirong Li, Cees G. M. Snoek. 2016
61 citations recorded by the source corpus.
Subfields: Natural Language Processing, 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 Natural Language Processing
- Amit K. Roy-Chowdhury
- João F. Henriques
- Florian Metze
- Rameswar Panda
- Zeynep Akata
- Evangelos E. Papalexakis
- Juncheng Billy Li
- Niluthpol Chowdhury Mithun
In Multimodal Learning
- Amit K. Roy-Chowdhury
- João F. Henriques
- Florian Metze
- Rameswar Panda
- Zeynep Akata
- Evangelos E. Papalexakis
- Juncheng Billy Li
- Niluthpol Chowdhury Mithun
Citations in the corpus
- Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval (2018, methodology): “We use the standard evaluation criteria used in most prior work on image-text retrieval task [6, 8, 30].”
- Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval (2018, methodology): “We observe that simple adaptation of a state-of-the-art image-text embedding method [7] by mean-pooling features from video frames provides a better result than most existing video-text retrieval approaches [6, 24].”
- Audio Retrieval with Natural Language Queries (2021, background): “Spanning multiple modalities, different retrieval strategies were developed for content as diverse as text (including webpages and books), images [1], and videos [2, 3].”