A survey on food computing W Min, S Jiang, L Liu, Y Rui, R Jain ACM Computing Surveys (CSUR) 52 (5), 1-36, 2019 | 374 | 2019 |
Multi-scale multi-view deep feature aggregation for food recognition S Jiang, W Min, L Liu, Z Luo IEEE Transactions on Image Processing 29, 265-276, 2019 | 172 | 2019 |
Large scale visual food recognition W Min, Z Wang, Y Liu, M Luo, L Kang, X Wei, X Wei, S Jiang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9932-9949, 2023 | 161 | 2023 |
Food recommendation: Framework, existing solutions, and challenges W Min, S Jiang, R Jain IEEE Transactions on Multimedia 22 (10), 2659-2671, 2019 | 152 | 2019 |
Plant disease recognition: A large-scale benchmark dataset and a visual region and loss reweighting approach X Liu, W Min, S Mei, L Wang, S Jiang IEEE Transactions on Image Processing 30, 2003-2015, 2021 | 142 | 2021 |
You are what you eat: Exploring rich recipe information for cross-region food analysis W Min, BK Bao, S Mei, Y Zhu, Y Rui, S Jiang IEEE Transactions on Multimedia 20 (4), 950-964, 2017 | 134 | 2017 |
Being a supercook: Joint food attributes and multimodal content modeling for recipe retrieval and exploration W Min, S Jiang, J Sang, H Wang, X Liu, L Herranz IEEE transactions on multimedia 19 (5), 1100-1113, 2016 | 128 | 2016 |
Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network W Min, L Liu, Z Wang, Z Luo, X Wei, X Wei, S Jiang Proceedings of the 28th ACM International Conference on Multimedia, 393-401, 2020 | 127 | 2020 |
Ingredient-guided cascaded multi-attention network for food recognition W Min, L Liu, Z Luo, S Jiang Proceedings of the 27th ACM International Conference on Multimedia, 1331-1339, 2019 | 111 | 2019 |
Cross-platform multi-modal topic modeling for personalized inter-platform recommendation W Min, BK Bao, C Xu, MS Hossain IEEE Transactions on Multimedia 17 (10), 1787-1801, 2015 | 90 | 2015 |
A review on vision-based analysis for automatic dietary assessment W Wang, W Min, T Li, X Dong, H Li, S Jiang Trends in Food Science & Technology 122, 223-237, 2022 | 64 | 2022 |
Logodet-3k: A large-scale image dataset for logo detection J Wang, W Min, S Hou, S Ma, Y Zheng, S Jiang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 64 | 2022 |
Attribute-guided feature learning for few-shot image recognition Y Zhu, W Min, S Jiang IEEE Transactions on Multimedia 23, 1200-1209, 2020 | 63 | 2020 |
A delicious recipe analysis framework for exploring multi-modal recipes with various attributes W Min, S Jiang, S Wang, J Sang, S Mei Proceedings of the 25th ACM international conference on Multimedia, 402-410, 2017 | 59 | 2017 |
Applications of knowledge graphs for food science and industry W Min, C Liu, L Xu, S Jiang Patterns 3 (5), 2022 | 57 | 2022 |
Logo-2k+: A large-scale logo dataset for scalable logo classification J Wang, W Min, S Hou, S Ma, Y Zheng, H Wang, S Jiang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6194-6201, 2020 | 54 | 2020 |
Multi-task deep relative attribute learning for visual urban perception W Min, S Mei, L Liu, Y Wang, S Jiang IEEE Transactions on Image Processing 29, 657-669, 2019 | 47 | 2019 |
Few-shot food recognition via multi-view representation learning S Jiang, W Min, Y Lyu, L Liu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 40 | 2020 |
A two-stage triplet network training framework for image retrieval W Min, S Mei, Z Li, S Jiang IEEE Transactions on Multimedia 22 (12), 3128-3138, 2020 | 40 | 2020 |
Food recognition and recipe analysis: integrating visual content, context and external knowledge L Herranz, W Min, S Jiang arXiv preprint arXiv:1801.07239, 2018 | 39 | 2018 |