| 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 | 110 | 2016 |
| Know more say less: Image captioning based on scene graphs X Li, S Jiang IEEE Transactions on Multimedia 21 (8), 2117-2130, 2019 | 15 | 2019 |
| Visual relationship detection with object spatial distribution Y Zhu, S Jiang, X Li 2017 IEEE International Conference on Multimedia and Expo (ICME), 379-384, 2017 | 14 | 2017 |
| Image captioning with both object and scene information X Li, X Song, L Herranz, Y Zhu, S Jiang Proceedings of the 24th ACM international conference on Multimedia, 1107-1110, 2016 | 14 | 2016 |
| The retrieval of shoeprint images based on the integral histogram of the gabor transform domain X Li, M Wu, Z Shi International Conference on Intelligent Information Processing, 249-258, 2014 | 10 | 2014 |
| Modality-specific and hierarchical feature learning for RGB-D hand-held object recognition X Lv, X Liu, X Li, X Li, S Jiang, Z He Multimedia Tools and Applications 76 (3), 4273-4290, 2017 | 8 | 2017 |
| Where and what to eat: Simultaneous restaurant and dish recognition from food image H Wang, W Min, X Li, S Jiang Pacific Rim Conference on Multimedia, 520-528, 2016 | 8 | 2016 |
| ISIA at the ImageCLEF 2017 Image Caption Task. S Liang, X Li, Y Zhu, X Li, S Jiang CLEF (Working Notes), 2017 | 6 | 2017 |
| Bundled Object Context for Referring Expressions X Li, S Jiang IEEE Transactions on Multimedia, 2018 | 4 | 2018 |
| Joint Learning of CNN and LSTM for Image Captioning. Y Zhu, X Li, X Li, J Sun, X Song, S Jiang CLEF (Working Notes), 421-427, 2016 | 4 | 2016 |
| Combining heterogeneous features for 3D hand-held object recognition X Lv, S Wang, X Li, S Jiang Optoelectronic Imaging and Multimedia Technology III 9273, 92732I, 2014 | 2 | 2014 |
| Class Agnostic Image Common Object Detection S Jiang, S Liang, C Chen, Y Zhu, X Li IEEE Transactions on Image Processing 28 (6), 2836-2846, 2019 | 1 | 2019 |
| Heterogeneous convolutional neural networks for visual recognition X Li, L Herranz, S Jiang Pacific Rim Conference on Multimedia, 262-274, 2016 | 1 | 2016 |
| Multipath convolutional-recursive neural networks for object recognition X Li, S Jiang, X Song, L Herranz, Z Shi International Conference on Intelligent Information Processing, 269-277, 2014 | 1 | 2014 |
| Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition X Li, L Herranz, S Jiang ACM Transactions on Data Science 1 (1), 1-22, 2020 | | 2020 |
| Learning Object Context for Dense Captioning X Li, S Jiang, J Han Proceedings of the AAAI Conference on Artificial Intelligence 33, 8650-8657, 2019 | | 2019 |
Shuqiang JiangInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
