Publisher
Springer Nature Switzerland
Reference51 articles.
1. Aakur, S., de Souza, F.D., Sarkar, S.: Going deeper with semantics: video activity interpretation using semantic contextualization. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 190–199. IEEE (2019)
2. Aakur, S.N., de Souza, F.D.M., Sarkar, S.: Generating open world descriptions of video using common sense knowledge in a pattern theory framework. Q. Appl. Math. 77, 323–356 (2019)
3. Adeli, V., et al.: TRiPOD: human trajectory and pose dynamics forecasting in the wild. CoRR abs/2104.04029 (2021). https://arxiv.org/abs/2104.04029
4. Brasó, G., Leal-Taixé, L.: Learning a neural solver for multiple object tracking. CoRR abs/1912.07515 (2019). http://arxiv.org/abs/1912.07515
5. Bronstein, M.M., Bruna, J., LeCun, Y., Szlam, A., Vandergheynst, P.: Geometric deep learning: going beyond Euclidean data. IEEE Signal Process. Mag. 34(4), 18–42 (2017)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. IS-GGT: Iterative Scene Graph Generation with Generative Transformers;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06