| Unsupervised part-based weighting aggregation of deep convolutional features for image retrieval J Xu, C Shi, C Qi, C Wang, B Xiao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 69 | 2018 |
| Unsupervised semantic-based aggregation of deep convolutional features J Xu, C Wang, C Qi, C Shi, B Xiao IEEE Transactions on Image Processing 28 (2), 601-611, 2018 | 44 | 2018 |
| CRF based text detection for natural scene images using convolutional neural network and context information Y Wang, C Shi, B Xiao, C Wang, C Qi Neurocomputing 295, 46-58, 2018 | 37 | 2018 |
| Stroke detector and structure based models for character recognition: a comparative study CZ Shi, S Gao, MT Liu, CZ Qi, CH Wang, BH Xiao IEEE Transactions on Image Processing 24 (12), 4952-4964, 2015 | 37 | 2015 |
| Iterative manifold embedding layer learned by incomplete data for large-scale image retrieval J Xu, C Wang, C Qi, C Shi, B Xiao IEEE Transactions on Multimedia 21 (6), 1551-1562, 2018 | 25 | 2018 |
| Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition Y Wang, C Shi, C Wang, B Xiao, C Qi Pattern Recognition Letters 97, 69-76, 2017 | 23 | 2017 |
| Spatial weighted fisher vector for image retrieval C Qi, C Shi, J Xu, C Wang, B Xiao 2017 IEEE International Conference on Multimedia and Expo (ICME), 463-468, 2017 | 7 | 2017 |
| Logo retrieval using logo proposals and adaptive weighted pooling C Qi, C Shi, C Wang, B Xiao IEEE Signal Processing Letters 24 (4), 442-445, 2017 | 6 | 2017 |
| Aggregation and ensemble of fully connected and convolutional activations for image retrieval Q Zhang, C Qi, C Wang, B Xiao 2016 2nd International Conference on Control, Automation and Robotics (ICCAR …, 2016 | | 2016 |
