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The task of retrieving video content relevant to natural language queries plays a critical role in effectively handling internet-scale datasets.
Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Computation 9
1997
Earlier work this paper cites.
Xing, E.P., Ng, A.Y., Jordan, M.I., Russell, S.: Distance metric learning, with application to clustering with side-information. In: NIPS (2002)
2002
Earlier work this paper cites.
Zhang, Y., Jin, R., Zhou, Z.H.: Understanding bag-of-words model: a statistical framework. International Journal of Machine Learning and Cybernetics 1
2010
Earlier work this paper cites.
Mikolov, T., Chen, K., Corrado, G.S., Dean, J.: Efficient estimation of word representations in vector space. In: ICLR (2013)
2013
Earlier work this paper cites.
Karpathy, A., Joulin, A., Fei-Fei, L.: Deep fragment embeddings for bidirectional image sentence mapping. In: NIPS (2014)
2014
Earlier work this paper cites.
Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS (2014)
2014
Earlier work this paper cites.
Klein, B., Lev, G., Sadeh, G., Wolf, L.: Associating neural word embeddings with deep image representations using fisher vectors. In: CVPR (2015)
2015
Earlier work this paper cites.
Rohrbach, A., Rohrbach, M., Tandon, N., Schiele, B.: A dataset for movie description. In: CVPR (2015)
2015
Earlier work this paper cites.
Huang, G., Liu, Z., Weinberger, K.Q.: Densely connected convolutional networks. In: CVPR (2016)
2016
Earlier work this paper cites.
Wu, Y., Schuster, M., Chen, Z., Le, Q.V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., Klingner, J., Shah, A., Johnson, M., Liu, X., Kaiser, L., Gouws, S., Kato, Y., Kudo, T., Kazawa, H., Stevens, K., Kurian, G., Patil, N., Wang, W., Young, C., Smith, J., Riesa, J., Rudnick, A., Vinyals, O., Corrado, G.S., Hughes, M., Dean, J.: Google’s neural machine translation system: Bridging the gap between human and machine translation. ArXiv 1609.08144 (2016)
2016
Earlier work this paper cites.
Xu, J., Mei, T., Yao, T., Rui, Y.: MSR-VTT: A large video description dataset for bridging video and language. In: CVPR (2016)
2016
Earlier work this paper cites.
Carreira, J., Zisserman, A.: Quo vadis, action recognition? A new model and the kinetics dataset. In: CVPR (2017)
2017
Earlier work this paper cites.
Hershey, S., Chaudhuri, S., Ellis, D.P.W., Gemmeke, J.F., Jansen, A., Moore, C., Plakal, M., Platt, D., Saurous, R.A., Seybold, B., Slaney, M., Weiss, R., Wilson, K.: CNN architectures for large-scale audio classification. In: ICASSP (2017)
2017
Cited alongside, same era.
Krishna, R., Hata, K., Ren, F., Fei-Fei, L., Niebles, J.C.: Dense-captioning events in videos. In: ICCV (2017)
2017
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L.u., Polosukhin, I.: Attention is all you need. In: NIPS (2017)
2017
Cited alongside, same era.
Xie, S., Sun, C., Huang, J., Tu, Z., Murphy, K.: Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification. In: ECCV (2017)
2017
Cited alongside, same era.
Yu, Y., Ko, H., Choi, J., Kim, G.: End-to-end concept word detection for video captioning, retrieval, and question answering. CVPR (2017)
Burns, A., Tan, R., Saenko, K., Sclaroff, S., Plummer, B.A.: Language Features Matter: Effective language representations for vision-language tasks. In: ICCV (2019)
2019
Later among the works it cites.
Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT (2019)
2019
Later among the works it cites.
Hu, J., Shen, L., Albanie, S., Sun, G., Wu, E.: Squeeze-and-excitation networks. IEEE Trans. Pattern Analysis and Machine Intelligence (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
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2017
Cited alongside, same era.
Harwath, D., Recasens, A., Surís, D., Chuang, G., Torralba, A., Glass, J.: Jointly discovering visual objects and spoken words from raw sensory input. In: ECCV (2018)
2018
Cited alongside, same era.
Lee, K.H., Chen, X., Hua, G., Hu, H., He, X.: Stacked cross attention for image-text matching. ECCV (2018)
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Mithun, N.C., Li, J., Metze, F., Roy-Chowdhury, A.K.: Learning joint embedding with multimodal cues for cross-modal video-text retrieval. In: ICMR (2018)
2018
Cited alongside, same era.
Yu, Y., Kim, J., Kim, G.: A joint sequence fusion model for video question answering and retrieval. In: ECCV (2018)
2018
Cited alongside, same era.
Zhang, B., Hu, H., Sha, F.: Cross-modal and hierarchical modeling of video and text. In: ECCV (2018)
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2019
Later among the works it cites.
Miech, A., Zhukov, D., Alayrac, J.B., Tapaswi, M., Laptev, I., Sivic, J.: HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. In: ICCV (2019)
2019
Later among the works it cites.
Mithun, N.C., Li, J., Metze, F., Roy-Chowdhury, A.K.: Joint embeddings with multimodal cues for video-text retrieval. IJMIR (2019)
2019
Later among the works it cites.
Sun, C., Baradel, F., Murphy, K., Schmid, C.: Learning video representations using contrastive bidirectional transformer. arXiv 1906.05743 (2019)
2019
Later among the works it cites.
Sun, C., Myers, A., Vondrick, C., Murphy, K., Schmid, C.: Videobert: A joint model for video and language representation learning. In: ICCV (2019)
2019
Later among the works it cites.
Wray, M., Larlus, D., Csurka, G., Damen, D.: Fine-grained action retrieval through multiple parts-of-speech embeddings. In: ICCV (2019)
2019
Later among the works it cites.
Gabeur, V., Sun, C., Alahari, K., Schmid, C.: CVPR 2020 video pentathlon challenge: Multi-modal transformer for video retrieval. In: CVPR Video Pentathlon Workshop (2020)
2020
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