AI Reading List: Technologies: Image Captioning
Below is a portion of my informal list of readings related to Artificial Intelligence (AI). This started out as a very short list created for use in conjunction with an academic presentation and has now grown much larger. Please let me know if you have any corrections, additions, suggestions, etc. It is very idiosyncratic and not meant to be comprehensive. Please feel free to share with others.
Artificial Intelligence (AI) Reading List, by Philip Rubin
Technologies — Image Captioning:
Andrej Karpathy and Li Fei-Fei. Deep Visual-Semantic Alignments for Generating Image Descriptions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3128-3137, 2015.
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan. Show and Tell: A Neural Image Caption Generator. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3156-3164, 2015.
Abhijit Roy. A Guide to Image Captioning: How Deep Learning helps in captioning. Towards Data Science, Dec. 9, 2020.
Kalev Leetaru. Automatic Image Captioning And Why Not Every AI Problem Can Be Solved Through More Data. Forbes.com, July 7, 2019.
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen. Hierarchical Text-Conditional Image Generation with CLIP Latents. arXiv preprint, arXiv:2204.06125, Apr. 13, 2022.
Rachel Gordon. A new state of the art for unsupervised vision. MIT News, April 21, 2022. .
Google Research, Brain Team. Imagen. imagen.research.google.
Wikipedia. Automatic image notation.