Scopus

Deep Learning-Based Human-Object Interaction Recognition in Student Sessions

Năm XB 2026 Tạp chí / Hội thảo Advances in Information and Communication Technology: Proceedings of the 4th International Conference, ICTA 2025, Volume 1 Volume 1, pp. 43-49 Đơn vị ICTU DOI / Link https://link.springer.com/chapter/10.1007/978-3-032-18316-3_6 ↗

Tác giả

Tài liệu tham khảo

[1] Wang, Y., Lei, Y., Cui, L., Xue, W., Liu, Q., Wei, Z.: A review of human-object interaction detection (2025)

[2] Han, G., Zhao, J., Zhang, L., Deng, F.: A survey of human-object interaction detection with deep learning. IEEE Trans. Emerg. Topics Comput. Intell. 9(1), 3–26 (2025)

[3] Antoun, M., Asmar, D.: Human object interaction detection: design and survey. Image Vis. Comput. 130, 104617 (2023)

[4] Zhang, F.Z., Campbell, D., Gould, S.: Spatially conditioned graphs for detecting human-object interactions (2021)

[5] Tamura, M., Ohashi, H., Yoshinaga, T.: QPIC: query-based pairwise human-object interaction detection with image-wide contextual information (2021)

[6] Kim, B., Lee, J., Kang, J., Kim, E.-S., Kim, H.J.: Hotr: end-to-end human-object interaction detection with transformers (2021)

[7] Zhang, F.Z., Campbell, D., Gould, S.: Efficient two-stage detection of human-object interactions with a novel unary-pairwise transformer (2022)

[8] Chao, Y.-W., Wang, Z., He, Y., Wang, J., Deng, J.: HICO: a benchmark for recognizing human-object interactions in images. In: Proceedings of the IEEE International Conference on Computer Vision (2015)

[9] Gupta, S., Malik, J.: Visual semantic role labeling. arXiv preprint arXiv:1505.04474 (2015)

[10] Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740–755. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10602-1_48

[11] Zhang, F.Z., Yuan, Y., Campbell, D., Zhong, Z., Gould, S.: Exploring predicate visual context in detecting human-object interactions (2023)

[12] Ullah Tabassam, A.I.: Mlops: a step forward to enterprise machine learning (2023)

[13] Heydari, M., Rezvani, Z.: Challenges and experiences of Iranian developers with mlops at enterprise (2023)

Ghi chú

Source ID: 35; Author classification: ICTU - CoAuthor; First listed author: Pham Ba Tuan Chung; Contact author: Le Minh Tuan; Total authors: 5; Springer matched from provided ICTA 2025 volumes