{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T17:04:00Z","timestamp":1767114240960,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","funder":[{"name":"CUHK Strategic Seed Funding for Collaborative Research Scheme","award":["3136053"],"award-info":[{"award-number":["3136053"]}]},{"name":"CUHK Direct Grant for Research","award":["4055229"],"award-info":[{"award-number":["4055229"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,12]]},"DOI":"10.1145\/3714394.3756291","type":"proceedings-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T21:13:49Z","timestamp":1767042829000},"page":"1500-1504","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["FuseLID: Vision-Language Model-Based Camera-Radar Fusion for Liquid Identification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5935-9050","authenticated-orcid":false,"given":"Hongyu","family":"Deng","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1512-6784","authenticated-orcid":false,"given":"Jiangyou","family":"Zhu","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8886-9680","authenticated-orcid":false,"given":"He","family":"Chen","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong SAR, China"}]}],"member":"320","published-online":{"date-parts":[[2025,12,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022071"},{"key":"e_1_3_2_1_2_1","volume-title":"Fusegrasp: Radar-camera fusion for robotic grasping of transparent objects","author":"Deng Hongyu","year":"2025","unstructured":"Hongyu Deng, Tianfan Xue, and He Chen. 2025. Fusegrasp: Radar-camera fusion for robotic grasping of transparent objects. IEEE Transactions on Mobile Computing (TMC) (2025)."},{"key":"e_1_3_2_1_3_1","volume-title":"Shape and texture recognition in large vision-language models. arXiv preprint arXiv:2503.23062","author":"Eppel Sagi","year":"2025","unstructured":"Sagi Eppel, Mor Bismut, and Alona Faktor. 2025. Shape and texture recognition in large vision-language models. arXiv preprint arXiv:2503.23062 (2025)."},{"key":"e_1_3_2_1_4_1","volume-title":"17th USENIX symposium on networked systems design and implementation (NSDI). 1083-1100","author":"Ha Unsoo","year":"2020","unstructured":"Unsoo Ha, Junshan Leng, Alaa Khaddaj, and Fadel Adib. 2020. Food and liquid sensing in practical environments using . In 17th USENIX symposium on networked systems design and implementation (NSDI). 1083-1100."},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR). 14549-14558","author":"Kaduri Omri","year":"2025","unstructured":"Omri Kaduri, Shai Bagon, and Tali Dekel. 2025. What's in the Image? A Deep-Dive into the Vision of Vision Language Models. In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR). 14549-14558."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25225"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3478075","article-title":"FG-LiquID: A contact-less fine-grained liquid identifier by pushing the limits of millimeter-wave sensing","volume":"5","author":"Liang Yumeng","year":"2021","unstructured":"Yumeng Liang, Anfu Zhou, Huanhuan Zhang, Xinzhe Wen, and Huadong Ma. 2021. FG-LiquID: A contact-less fine-grained liquid identifier by pushing the limits of millimeter-wave sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 5, 3 (2021), 1-27.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)"},{"key":"e_1_3_2_1_8_1","volume-title":"LiqState: Liquid Identification and State Monitoring Using mmWave IoT Sensing","author":"Niaz Fahim","year":"2025","unstructured":"Fahim Niaz, Jian Zhang, Muhammad Khalid, Muhammad Younas, and Abdul Majid. 2025. LiqState: Liquid Identification and State Monitoring Using mmWave IoT Sensing. IEEE Internet of Things Journal (IoTJ) (2025)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3495243.3560540"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3300356"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3569469"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3117811.3117830"},{"key":"e_1_3_2_1_13_1","first-page":"1","article-title":"Liqdetector: enabling container-independent liquid detection with mmwave signals based on a dual-reflection model","volume":"7","author":"Wang Zhu","year":"2024","unstructured":"Zhu Wang, Yifan Guo, Zhihui Ren, Wenchao Song, Zhuo Sun, Chao Chen, Bin Guo, and Zhiwen Yu. 2024. Liqdetector: enabling container-independent liquid detection with mmwave signals based on a dual-reflection model. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 7, 4 (2024), 1-24.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)"},{"key":"e_1_3_2_1_14_1","first-page":"1","article-title":"mSense: Towards mobile material sensing with a single millimeter-wave radio","volume":"4","author":"Wu Chenshu","year":"2020","unstructured":"Chenshu Wu, Feng Zhang, Beibei Wang, and KJ Ray Liu. 2020. mSense: Towards mobile material sensing with a single millimeter-wave radio. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 4, 3 (2020), 1-20.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)"},{"key":"e_1_3_2_1_15_1","volume-title":"CRFUSION: Fine-grained Object Identification Using RF-image Modality Fusion","author":"Xiao Liyang","year":"2025","unstructured":"Liyang Xiao, Yanni Yang, Zhe Chen, Gao Yue, Prasant Mohapatra, and Pengfei Hu. 2025. CRFUSION: Fine-grained Object Identification Using RF-image Modality Fusion. IEEE Transactions on Mobile Computing (TMC) (2025)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2893330"}],"event":{"name":"UbiComp '25:The 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing \/ ISWC ACM International Symposium on Wearable Computers","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Espoo Finland"},"container-title":["Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3714394.3756291","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T16:59:14Z","timestamp":1767113954000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3714394.3756291"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":16,"alternative-id":["10.1145\/3714394.3756291","10.1145\/3714394"],"URL":"https:\/\/doi.org\/10.1145\/3714394.3756291","relation":{},"subject":[],"published":{"date-parts":[[2025,10,12]]},"assertion":[{"value":"2025-12-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}