{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:20:42Z","timestamp":1767313242974,"version":"3.48.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032073426","type":"print"},{"value":"9783032073433","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-07343-3_10","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:17:44Z","timestamp":1767313064000},"page":"121-133","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Privacy Aware Human-Object Interaction in\u00a0the\u00a0Wild Novel Dataset"],"prefix":"10.1007","author":[{"given":"Luna Lux","family":"Fredenslund","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasiliki","family":"Ismiroglou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Moeslund","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamal","family":"Nasrollahi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Cao, Y., et al.: Re-mine, learn and reason: exploring the cross-modal semantic correlations for language-guided hoi detection. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 23435\u201323446 (2023)","DOI":"10.1109\/ICCV51070.2023.02147"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Chao, Y.W., Liu, Y., Liu, X., Zeng, H., Deng, J.: Learning to detect human-object interactions. In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 381\u2013389 (2018)","DOI":"10.1109\/WACV.2018.00048"},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1109\/TMM.2021.3050069","volume":"24","author":"X Chen","year":"2022","unstructured":"Chen, X., Gao, C., Li, C., Yang, Y., Meng, D.: Infrared action detection in the dark via cross-stream attention mechanism. IEEE Trans. Multimedia 24, 288\u2013300 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Gao, C., et al.: Infar dataset: infrared action recognition at different times. Neurocomputing 212, 36\u201347 (2016). Chinese Conference on Computer Vision 2015 (CCCV 2015)","DOI":"10.1016\/j.neucom.2016.05.094"},{"key":"10_CR5","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-3-662-48570-5_30","volume-title":"Computer Vision","author":"C Gao","year":"2015","unstructured":"Gao, C., Du, Y., Liu, J., Yang, L., Meng, D.: A new dataset and evaluation for infrared action recognition. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds.) CCCV 2015. CCIS, vol. 547, pp. 302\u2013312. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-48570-5_30"},{"key":"10_CR6","unstructured":"Gupta, S., Malik, J.: Visual semantic role labeling (2015)"},{"key":"10_CR7","unstructured":"Kang, S.M., Wildes, R.P.: Review of action recognition and detection methods (2016)"},{"key":"10_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1007\/978-3-030-58555-6_30","volume-title":"Computer Vision \u2013 ECCV 2020","author":"B Kim","year":"2020","unstructured":"Kim, B., Choi, T., Kang, J., Kim, H.J.: UnionDet: union-level detector towards real-time human-object interaction detection. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12360, pp. 498\u2013514. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58555-6_30"},{"issue":"7","key":"10_CR9","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1007\/s11263-020-01316-z","volume":"128","author":"A Kuznetsova","year":"2020","unstructured":"Kuznetsova, A., et al.: The open images dataset V4. Int. J. Comput. Vision 128(7), 1956\u20131981 (2020)","journal-title":"Int. J. Comput. Vision"},{"issue":"11","key":"10_CR10","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"1","key":"10_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.32604\/cmc.2023.042494","volume":"77","author":"Y Li","year":"2023","unstructured":"Li, Y., Liang, Q., Gan, B., Cui, X.: Action recognition and detection based on deep learning: a comprehensive summary. Comput. Mater. Continua 77(1), 1\u201323 (2023)","journal-title":"Comput. Mater. Continua"},{"issue":"7","key":"10_CR12","doi-asserted-by":"publisher","first-page":"8494","DOI":"10.1109\/TPAMI.2022.3232797","volume":"45","author":"YL Li","year":"2023","unstructured":"Li, Y.L., et al.: Hake: a knowledge engine foundation for human activity understanding. IEEE Trans. Pattern Anal. Mach. Intell. 45(7), 8494\u20138506 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"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\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"10_CR14","doi-asserted-by":"publisher","first-page":"6469","DOI":"10.1109\/TIP.2023.3334100","volume":"32","author":"WK Lin","year":"2023","unstructured":"Lin, W.K., et al.: Point-based learnable query generator for human-object interaction detection. IEEE Trans. Image Process. 32, 6469\u20136484 (2023)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10_CR15","first-page":"4987","volume":"44","author":"S Liu","year":"2022","unstructured":"Liu, S., et al.: Human-centric relation segmentation: dataset and solution. IEEE Trans. Pattern Anal. Mach. Intell. 44(9), 4987\u20135001 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"10_CR16","first-page":"2346","volume":"31","author":"J Lu","year":"2019","unstructured":"Lu, J., Liu, A., Dong, F., Gu, F., Gama, J., Zhang, G.: Learning under concept drift: a review. IEEE Trans. Knowl. Data Eng. 31(12), 2346\u20132363 (2019)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10_CR17","unstructured":"Nikolov, I., et al.: Seasons in drift: a long term thermal imaging dataset for studying concept drift. In: Thirty-Fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021)"},{"key":"10_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/978-3-030-58548-8_19","volume-title":"Computer Vision \u2013 ECCV 2020","author":"S Pratt","year":"2020","unstructured":"Pratt, S., Yatskar, M., Weihs, L., Farhadi, A., Kembhavi, A.: Grounded situation recognition. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12349, pp. 314\u2013332. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58548-8_19"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Tang, Z., Ye, W., Ma, W.C., Zhao, H.: What happened 3 seconds ago? Inferring the past with thermal imaging. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17111\u201317120 (2023)","DOI":"10.1109\/CVPR52729.2023.01641"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Tu, D., Sun, W., Zhai, G., Shen, W.: Agglomerative transformer for human-object interaction detection. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 21557\u201321567 (2023)","DOI":"10.1109\/ICCV51070.2023.01976"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Wang, L., Gao, C., Yang, L., Zhao, Y., Zuo, W., Meng, D.: PM-GANs: discriminative representation learning for action recognition using partial-modalities. In: The European Conference on Computer Vision (ECCV) (2018)","DOI":"10.1007\/978-3-030-01231-1_24"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Wang, S., Yap, K.H., Ding, H., Wu, J., Yuan, J., Tan, Y.P.: Discovering human interactions with large-vocabulary objects via query and multi-scale detection. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 13455\u201313464 (2021)","DOI":"10.1109\/ICCV48922.2021.01322"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Wang, Y., Lei, Y., Cui, L., Xue, W., Liu, Q., Wei, Z.: A review of human-object interaction detection. In: 2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT), pp.\u00a01\u20136 (2024)","DOI":"10.1109\/ICCVIT63928.2024.10872548"},{"key":"10_CR24","doi-asserted-by":"crossref","unstructured":"Yang, J., Li, B., Zeng, A., Zhang, L., Zhang, R.: Open-world human-object interaction detection via multi-modal prompts. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16954\u201316964 (2024)","DOI":"10.1109\/CVPR52733.2024.01604"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Yuan, H., et al.: Rlipv2: fast scaling of relational language-image pre-training. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 21649\u201321661 (2023)","DOI":"10.1109\/ICCV51070.2023.01979"},{"key":"10_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, H.B., et al.: A comprehensive survey of vision-based human action recognition methods. Sensors 19(5) (2019)","DOI":"10.3390\/s19051005"},{"key":"10_CR27","doi-asserted-by":"crossref","unstructured":"Zhuang, B., Wu, Q., Shen, C., Reid, I., van\u00a0den Hengel, A.: Hcvrd: a benchmark for large-scale human-centered visual relationship detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32, no. 1 (2018)","DOI":"10.1609\/aaai.v32i1.12260"}],"container-title":["Lecture Notes in Computer Science","Advanced Concepts for Intelligent Vision Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-07343-3_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:17:46Z","timestamp":1767313066000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-07343-3_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032073426","9783032073433"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-07343-3_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIVS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Concepts for Intelligent Vision Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"acivs2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.acivs2025.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}