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Efficient video recognition is a hot-spot research topic with the explosive growth of multimedia data on the Internet and mobile devices.
2012
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2019
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2021
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2020
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Feichtenhofer, C.: X3d: Expanding architectures for efficient video recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 203–213 (2020)
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Gao, R., Oh, T.H., Grauman, K., Torresani, L.: Listen to look: Action recognition by previewing audio. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10457–10467 (2020)
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Meng, Y., Lin, C.C., Panda, R., Sattigeri, P., Karlinsky, L., Oliva, A., Saenko, K., Feris, R.: Ar-net: Adaptive frame resolution for efficient action recognition. In: European Conference on Computer Vision. pp. 86–104. Springer (2020)
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Wang, H., Zhang, Y., Ji, Z., Pang, Y., Ma, L.: Consensus-aware visual-semantic embedding for image-text matching. In: European Conference on Computer Vision. pp. 18–34. Springer (2020)
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Wu, W., He, D., Tan, X., Chen, S., Yang, Y., Wen, S.: Dynamic inference: A new approach toward efficient video action recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. pp. 676–677 (2020)
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2021
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2021
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2021
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2021
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2021
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2021
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Wu, W., He, D., Lin, T., Li, F., Gan, C., Ding, E.: Mvfnet: Multi-view fusion network for efficient video recognition. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 35, pp. 2943–2951 (2021)
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2022
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Fang, B., Wu, W., Liu, C., Zhou, Y., He, D., Wang, W.: Mamico: Macro-to-micro semantic correspondence for self-supervised video representation learning. In Proc. ACMMM (2022)
2022
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2022
Closest in time.
2022
Closest in time.
Xia, B., Wu, W., Wang, H., Su, R., He, D., Yang, H., Fan, X., Ouyang, W.: Nsnet: Non-saliency suppression sampler for efficient video recognition. ECCV (2022)
2022
Closest in time.
Yang, H., Wu, W., Wang, L., Jin, S., Xia, B., Yao, H., Huang, H.: Temporal action proposal generation with background constraint. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 36, pp. 3054–3062 (2022)
2022
Closest in time.