| A survey on food computing W Min, S Jiang, L Liu, Y Rui, R Jain ACM Computing Surveys (CSUR) 52 (5), 1-36, 2019 | 342 | 2019 |
| Scene recognition with cnns: objects, scales and dataset bias L Herranz, S Jiang, X Li Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 237 | 2016 |
| Know more say less: Image captioning based on scene graphs X Li, S Jiang IEEE Transactions on Multimedia 21 (8), 2117-2130, 2019 | 178 | 2019 |
| Building contextual visual vocabulary for large-scale image applications S Zhang, Q Huang, G Hua, S Jiang, W Gao, Q Tian Proceedings of the 18th ACM international conference on Multimedia, 501-510, 2010 | 153 | 2010 |
| 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 | 149 | 2019 |
| Food recommendation: Framework, existing solutions, and challenges W Min, S Jiang, R Jain IEEE Transactions on Multimedia 22 (10), 2659-2671, 2019 | 140 | 2019 |
| Trajectory based event tactics analysis in broadcast sports video G Zhu, Q Huang, C Xu, Y Rui, S Jiang, W Gao, H Yao Proceedings of the 15th ACM international conference on Multimedia, 58-67, 2007 | 140 | 2007 |
| Affective visualization and retrieval for music video S Zhang, Q Huang, S Jiang, W Gao, Q Tian IEEE Transactions on Multimedia 12 (6), 510-522, 2010 | 131 | 2010 |
| Event tactic analysis based on broadcast sports video G Zhu, C Xu, Q Huang, Y Rui, S Jiang, W Gao, H Yao IEEE Transactions on Multimedia 11 (1), 49-67, 2008 | 127 | 2008 |
| 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 | 125 | 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 | 123 | 2016 |
| 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 | 117 | 2021 |
| 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 | 115 | 2023 |
| Geolocalized modeling for dish recognition R Xu, L Herranz, S Jiang, S Wang, X Song, R Jain IEEE transactions on multimedia 17 (8), 1187-1199, 2015 | 110 | 2015 |
| 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 | 107 | 2020 |
| An effective method to detect and categorize digitized traditional Chinese paintings S Jiang, Q Huang, Q Ye, W Gao Pattern Recognition Letters 27 (7), 734-746, 2006 | 106 | 2006 |
| Detecting violent scenes in movies by auditory and visual cues Y Gong, W Wang, S Jiang, Q Huang, W Gao Advances in Multimedia Information Processing-PCM 2008: 9th Pacific Rim …, 2008 | 105 | 2008 |
| 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 | 102 | 2019 |
| Instre: a new benchmark for instance-level object retrieval and recognition S Wang, S Jiang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2015 | 94 | 2015 |
| Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition. Y Zhu, C Liu, S Jiang IJCAI, 1090-1096, 2020 | 93 | 2020 |
Qingming HuangUniversity of the Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
