AutoCaption: Automatic caption generation for personal photos
By Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz Ahmad El-Saban, Sudipta N. Sinha, Anitha Kannan, N. Hassan, Michel Galley, Yi Yang, Deva Ramanan and 2 more. 2014
32 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Multimodal Learning, Natural Language Generation
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
- Luc Van Gool
- Trevor Darrell
- Dacheng Tao
- Jitendra Malik
- Xiaogang Wang
- Yi Yang
- Cordelia Schmid
- Chunhua Shen
In Multimodal Learning
- C. Lawrence Zitnick
- Saurabh Gupta
- Ramakrishna Vedantam
- Xinlei Chen
- Piotr Doll'ar
- Tsung-Yi Lin
- Devi Parikh
- Dhruv Batra
In Natural Language Generation
- Saurabh Gupta
- C. Lawrence Zitnick
- Ramakrishna Vedantam
- Devi Parikh
- Li Fei-Fei
- Qi Wu
- Arnau Ramisa
- Justin Johnson
Citations in the corpus
- Microsoft COCO Captions: Data Collection and Evaluation Server (2015, background): “The automatic generation of captions for images is a long standing and challenging problem in artificial intelligence [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19].”
- Understanding Blind People's Experiences with Computer-Generated Captions of Social Media Images (2017, background): “Sometimes this is done through user studies where sighted people are asked to rate the quality of a caption for a given image [25,27] or choose the best from a series of captions [9].”