Deep Visual-Semantic Alignments for Generating Image Descriptions

Artículos que citan Deep Visual-Semantic Alignments for Generating Image Descriptions

Título / Autor	Año
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
The image processing handbook JC Russ CRC press	2016
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
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
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
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 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture …	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
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
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
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
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
Deep captioning with multimodal recurrent neural networks (m-rnn) J Mao, W Xu, Y Yang, J Wang, Z Huang, A Yuille arXiv preprint arXiv:1412.6632	2014
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019	2015
Sequence to sequence-video to text S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko Proceedings of the IEEE international conference on computer vision, 4534-4542	2015

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