Deep Visual-Semantic Alignments for Generating Image Descriptions

Articles citing Deep Visual-Semantic Alignments for Generating Image Descriptions

Title / Author	Year
Very deep convolutional networks for large-scale image recognition K Simonyan, A Zisserman arXiv preprint arXiv:1409.1556	2014
Deep learning I Goodfellow, Y Bengio, A Courville MIT press	2016
Image processing JC Russ Computer-assisted microscopy, 33-69	1990
Show, attend and tell: Neural image caption generation with visual attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ... International conference on machine learning, 2048-2057	2015
Long-term recurrent convolutional networks for visual recognition and description J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ... Proceedings of the IEEE conference on computer vision and pattern …	2015
A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88	2017
" Why should I trust you?" Explaining the predictions of any classifier MT Ribeiro, S Singh, C Guestrin Proceedings of the 22nd ACM SIGKDD international conference on knowledge …	2016
Grad-cam: Visual explanations from deep networks via gradient-based localization RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra Proceedings of the IEEE international conference on computer vision, 618-626	2017
Convolutional LSTM network: A machine learning approach for precipitation nowcasting SHI Xingjian, Z Chen, H Wang, DY Yeung, WK Wong, W Woo Advances in neural information processing systems, 802-810	2015
Vqa: Visual question answering S Antol, A Agrawal, J Lu, M Mitchell, D Batra, C Lawrence Zitnick, ... Proceedings of the IEEE international conference on computer vision, 2425-2433	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302	2015
Generative adversarial text to image synthesis S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee arXiv preprint arXiv:1605.05396	2016
EIE: efficient inference engine on compressed deep neural network S Han, X Liu, H Mao, J Pu, A Pedram, MA Horowitz, WJ Dally ACM SIGARCH Computer Architecture News 44 (3), 243-254	2016
Cider: Consensus-based image description evaluation R Vedantam, C Lawrence Zitnick, D Parikh Proceedings of the IEEE conference on computer vision and pattern …	2015
Visual genome: Connecting language and vision using crowdsourced dense image annotations R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... International journal of computer vision 123 (1), 32-73	2017
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019	2015
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19, 221-248	2017
Bottom-up and top-down attention for image captioning and visual question answering P Anderson, X He, C Buehler, D Teney, M Johnson, S Gould, L Zhang Proceedings of the IEEE conference on computer vision and pattern …	2018
Stacked attention networks for image question answering Z Yang, X He, J Gao, L Deng, A Smola Proceedings of the IEEE conference on computer vision and pattern …	2016
From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …	2015

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