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This report describes Badgers@UW-Madison, our submission to the Ego4D Natural Language Queries (NLQ) Challenge.
Bodla, N., Singh, B., Chellappa, R., Davis, L.S.: Soft-nms – improving object detection with one line of code. In: International Conference on Computer Vision (ICCV) (2017)
2017
Earlier work this paper cites.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. Neural Information Processing Systems (NeurIPS) (2017)
2017
Earlier work this paper cites.
Feichtenhofer, C., Fan, H., Malik, J., He, K.: Slowfast networks for video recognition. In: International Conference on Computer Vision (ICCV) (2019)
2019
Earlier work this paper cites.
Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: International Conference on Learning Representations (ICLR) (2019)
2019
Earlier work this paper cites.
Lan, X., Yuan, Y., Wang, X., Wang, Z., Zhu, W.: A survey on temporal sentence grounding in videos. Transactions on Multimedia Computing, Communications, and Applications (TOMM) (2021)
2021
Cited alongside, same era.
Liu, S., Lin, T., He, D., Li, F., Wang, M., Li, X., Sun, Z., Li, Q., Ding, E.: Adaattn: Revisit attention mechanism in arbitrary neural style transfer. In: International Conference on Computer Vision (ICCV) (2021)
2021
Cited alongside, same era.
Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning (ICML) (2021)
2021
Cited alongside, same era.
Girdhar, R., Singh, M., Ravi, N., van der Maaten, L., Joulin, A., Misra, I.: Omnivore: A single model for many visual modalities. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
2022
Cited alongside, same era.
Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., Martin, M., Nagarajan, T., Radosavovic, I., Ramakrishnan, S.K., Ryan, F., Sharma, J., Wray, M., Xu, M., Xu, E.Z., Zhao, C., Bansal, S., Batra, D., Cartillier, V., Crane, S., Do, T., Doulaty, M., Erapalli, A., Feichtenhofer, C., Fragomeni, A., Fu, Q., Gebreselasie, A., González, C., Hillis, J., Huang, X., Huang, Y., Jia, W., Khoo, W., Kolář, J., Kottur, S., Kumar, A., Landini, F., Li, C., Li, Y., Li, Z., Mangalam, K., Modhugu, R., Munro, J., Murrell, T., Nishiyasu, T., Price, W., Ruiz, P., Ramazanova, M., Sari, L., Somasundaram, K., Southerland, A., Sugano, Y., Tao, R., Vo, M., Wang, Y., Wu, X., Yagi, T., Zhao, Z., Zhu, Y., Arbeláez, P., Crandall, D., Damen, D., Farinella, G.M., Fuegen, C., Ghanem, B., Ithapu, V.K., Jawahar, C.V., Joo, H., Kitani, K., Li, H., Newcombe, R., Oliva, A., Park, H.S., Rehg, J.M., Sato, Y., Shi, J., Shou, M.Z., Torralba, A., Torresani, L., Yan, M., Malik, J.: Ego4d: Around the world in 3,000 hours of egocentric video. In: Computer Vision and Pattern Recognition (CVPR) (2022)
Cited in the paper.
Lin, K.Q., Wang, A.J., Soldan, M., Wray, M., Yan, R., Xu, E.Z., Gao, D., Tu, R., Zhao, W., Kong, W., Cai, C., Wang, H., Damen, D., Ghanem, B., Liu, W., Shou, M.Z.: Egocentric video-language pretraining. In: Neural Information Processing Systems (NeurIPS) (2022)
2022
Closest in time.
2022
Closest in time.
Zhang, C., Wu, J., Li, Y.: Actionformer: Localizing moments of actions with transformers. In: European Conference on Computer Vision (ECCV) (2022)
2022
Closest in time.
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