| HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu ICCV, 2015 | 381* | 2015 |
| Style finder: Fine-grained clothing style detection and retrieval W Di, C Wah, A Bhardwaj, R Piramuthu, N Sundaresan Proceedings of the IEEE Conference on computer vision and pattern …, 2013 | 168 | 2013 |
| 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 | 117 | 2014 |
| Grab: Visual saliency via novel graph model and background priors Q Wang, W Zheng, R Piramuthu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 93 | 2016 |
| 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 | 87 | 2014 |
| Recommendations based on wearable sensors A Bhardwaj, N Sundaresan, R Piramuthu US Patent App. 13/946,814, 2014 | 81 | 2014 |
| Extraction of image feature data from images A Bhardwaj, W Di, MR Hamid, R Piramuthu, N Sundaresan US Patent 8,798,363, 2014 | 65 | 2014 |
| Spatial signature analysis P Eldredge, PY Huet, R Piramuthu, S Bhagwat, K Chi, K Liu, M Plihal, ... US Patent 6,718,526, 2004 | 64 | 2004 |
| Modanet: A large-scale street fashion dataset with polygon annotations S Zheng, F Yang, MH Kiapour, R Piramuthu Proceedings of the 26th ACM international conference on Multimedia, 1670-1678, 2018 | 59 | 2018 |
| Visual search at ebay F Yang, A Kale, Y Bubnov, L Stein, Q Wang, H Kiapour, R Piramuthu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 56 | 2017 |
| Minimax emission computed tomography using high-resolution anatomical side information and B-spline models AO Hero, R Piramuthu, JA Fessler, SR Titus IEEE Transactions on Information Theory 45 (3), 920-938, 1999 | 55 | 1999 |
| Conditional image-text embedding networks BA Plummer, P Kordas, MH Kiapour, S Zheng, R Piramuthu, S Lazebnik Proceedings of the European Conference on Computer Vision (ECCV), 249-264, 2018 | 51 | 2018 |
| ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections B Zhou, V Jagadeesh, R Piramuthu CVPR, 2015 | 49 | 2015 |
| 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 | 48 | 2014 |
| Acquisition and use of query images with image feature data A Bhardwaj, R Piramuthu, N Sundaresan US Patent App. 13/631,848, 2013 | 41 | 2013 |
| Fashion Apparel Detection: the Role of Deep Convolutional Neural Network and Pose-dependent Priors K Hara, V Jagadeesh, R Piramuthu WACV, 2016 | 39 | 2016 |
| Method and system to build a time-sensitive profile A Bhardwaj, R Piramuthu, N Sundaresan US Patent App. 13/804,664, 2014 | 38 | 2014 |
| Image segmentation R Piramuthu, D Prochazka US Patent 8,385,609, 2013 | 34 | 2013 |
| Wafer inspection systems and methods for analyzing inspection data P Sullivan, G Kren, E Rosengaus, P Huet, R Piramuthu, M Plihal, Y Xiong US Patent 7,227,628, 2007 | 33 | 2007 |
| 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 | 29 | 2014 |
Anurag BhardwajApple IncVerified email at buffalo.edu
