| HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu Proceedings of the IEEE international conference on computer vision, 2740-2748, 2015 | 547* | 2015 |
| Style Finder: Fine-Grained Clothing Style Recognition and Retrieval W Di, C Wah, A Bhardwaj, R Piramuthu, N Sundaresan Mobile Vision workshop (IWMV) of IEEE CVPR (Conference on Computer Vision …, 2013 | 181* | 2013 |
| Studies on hyperspectral face recognition in visible spectrum with feature band selection W Di, L Zhang, D Zhang, Q Pan IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010 | 153 | 2010 |
| Large scale visual recommendations from street fashion images V Jagadeesh, R Piramuthu, A Bhardwaj, W Di, N Sundaresan Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 148 | 2014 |
| Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling A Bhardwaj, W Di, J Wei Packt Publishing Ltd, 2018 | 135 | 2018 |
| View Generation for Multiview Maximum Disagreement Based Active Learning for Hyperspectral Image Classification W Di, MM Crawford Geoscience and Remote Sensing, IEEE Transactions on, 1-13, 2012 | 126 | 2012 |
| Active learning via multi-view and local proximity co-regularization for hyperspectral image classification W Di, MM Crawford IEEE Journal of Selected Topics in Signal Processing 5 (3), 618-628, 2011 | 111 | 2011 |
| Region-based discriminative feature pooling for scene text recognition CY Lee, A Bhardwaj, W Di, V Jagadeesh, R Piramuthu proceedings of the IEEE conference on computer vision and pattern …, 2014 | 110 | 2014 |
| Extraction of image feature data from images A Bhardwaj, W Di, MR Hamid, R Piramuthu, N Sundaresan US Patent 8,798,363, 2014 | 104 | 2014 |
| Is a picture really worth a thousand words? -on the role of images in e-commerce W Di, N Sundaresan, R Piramuthu, A Bhardwaj Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 76 | 2014 |
| Fashion preference analysis W Di, V Jagadeesh, R Piramuthu, E Churchill, A Bhardwaj US Patent 10,013,710, 2018 | 39 | 2018 |
| Complementary item recommendations using image feature data A Bhardwaj, W Di, V Jagadeesh, R Piramuthu, N Sundaresan US Patent 8,737,728, 2014 | 39 | 2014 |
| Item recommendations using image feature data A Bhardwaj, W Di, MR Hamid, R Piramuthu, N Sundaresan US Patent 8,908,962, 2014 | 34 | 2014 |
| Anomaly detection in hyperspectral imagery based on maximum entropy and nonparametric estimation L He, Q Pan, W Di, Y Li Pattern Recognition Letters 29 (9), 1392-1403, 2008 | 34 | 2008 |
| Estimating depth from a single image A Bhardwaj, MH Baig, R Piramuthu, V Jagadeesh, W Di US Patent 9,275,078, 2016 | 33 | 2016 |
| 高光谱图像目标检测研究进展 贺霖， 潘泉， 邸韡， 李远清 电子学报, 2016-2024, 2009 | 29 | 2009 |
| Image evaluation W Di, V Jagadeesh, R Piramuthu, E Churchill, A Bhardwaj US Patent 9,384,422, 2016 | 28 | 2016 |
| Multi-view adaptive disagreement based active learning for hyperspectral image classification W Di, MM Crawford 2010 IEEE International Geoscience and Remote Sensing Symposium, 1374-1377, 2010 | 28 | 2010 |
| Recognition of items depicted in images K Shih, W Di, V Jagadeesh, R Piramuthu US Patent App. 14/973,582, 2016 | 27 | 2016 |
| Im2depth: Scalable exemplar based depth transfer MH Baig, V Jagadeesh, R Piramuthu, A Bhardwaj, W Di, N Sundaresan IEEE Winter conference on applications of computer vision, 145-152, 2014 | 27 | 2014 |
