{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T22:26:28Z","timestamp":1773786388952,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,3]]},"DOI":"10.1109\/bsn66969.2025.11337519","type":"proceedings-article","created":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T20:53:11Z","timestamp":1768855991000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["FoodAgent: A Multi-Modal Mixture of Experts Reasoning Agent for Divide-and-Conquer Food Nutrition Estimation"],"prefix":"10.1109","author":[{"given":"Pengfei","family":"Zhang","sequence":"first","affiliation":[{"name":"University of California,Irvine,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yutong","family":"Song","sequence":"additional","affiliation":[{"name":"University of California,Irvine,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenhan","family":"Lyu","sequence":"additional","affiliation":[{"name":"University of California,Irvine,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyu","family":"Wang","sequence":"additional","affiliation":[{"name":"University of California,Irvine,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir M.","family":"Rahmani","sequence":"additional","affiliation":[{"name":"University of California,Irvine,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00879"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1109\/ICME55011.2023.00166","volume-title":"An end-to-end food portion estimation framework based on shape reconstruction from monocular image","author":"Shao","year":"2023"},{"key":"ref3","volume-title":"Food ingredients recognition through multi-label learning","author":"Ismail","year":"2022"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2025.3590924"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-88217-3_4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC53108.2024.10781547"},{"key":"ref7","volume-title":"Dietary assessment with multimodal chatgpt: A systematic analysis","author":"Lo","year":"2023"},{"key":"ref8","volume-title":"Gpt-4 technical report","year":"2024"},{"key":"ref9","volume-title":"Visual instruction tuning","author":"Liu","year":"2023"},{"key":"ref10","volume-title":"Qwen2.5-omni technical report","author":"Xu","year":"2025"},{"key":"ref11","article-title":"Knowledge graph retrieval enhanced language models","author":"Wu","year":"2023","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref12","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref13","volume-title":"Dementia-plan: An agent-based framework for multi-knowledge graph retrieval-augmented generation in dementia care","author":"Song","year":"2025"},{"key":"ref14","article-title":"Grounded sam: Assembling open-world models for diverse visual tasks","author":"Ren","year":"2024","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref16","article-title":"Zoedepth: Zero-shot transfer by combining relative and metric depth","author":"Bhat","year":"2023","journal-title":"arXiv preprint"},{"key":"ref17","volume-title":"Nutritionx database"}],"event":{"name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","location":"Los Angeles, CA, USA","start":{"date-parts":[[2025,11,3]]},"end":{"date-parts":[[2025,11,5]]}},"container-title":["2025 IEEE 21st International Conference on Body Sensor Networks (BSN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11335418\/11337249\/11337519.pdf?arnumber=11337519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T08:06:01Z","timestamp":1768896361000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11337519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/bsn66969.2025.11337519","relation":{},"subject":[],"published":{"date-parts":[[2025,11,3]]}}}