| 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 | 626* | 2015 |
| 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 | 166 | 2014 |
| 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 | 120 | 2014 |
| Fashion apparel detection: the role of deep convolutional neural network and pose-dependent priors K Hara, V Jagadeesh, R Piramuthu 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 71 | 2016 |
| Joint-based item recognition K Hara, V Jagadeesh, R Piramuthu US Patent 11,120,478, 2021 | 65 | 2021 |
| HD-CNN: Hierarchical deep convolutional neural network for image classification Z Yan, V Jagadeesh, D DeCoste, W Di, R Piramuthu International Conference on Computer Vision (ICCV) 2, 435-443, 2015 | 61 | 2015 |
| Conceptlearner: Discovering visual concepts from weakly labeled image collections B Zhou, V Jagadeesh, R Piramuthu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 53 | 2015 |
| Fashion preference analysis W Di, V Jagadeesh, R Piramuthu, E Churchill, A Bhardwaj US Patent 10,013,710, 2018 | 48 | 2018 |
| Complementary item recommendations using image feature data A Bhardwaj, W Di, V Jagadeesh, R Piramuthu, N Sundaresan US Patent 8,737,728, 2014 | 48 | 2014 |
| Recognition of items depicted in images K Shih, W Di, V Jagadeesh, R Piramuthu US Patent App. 14/973,582, 2016 | 44 | 2016 |
| Image evaluation W Di, V Jagadeesh, R Piramuthu, E Churchill, A Bhardwaj US Patent 9,384,422, 2016 | 41 | 2016 |
| Multi-label learning with fused multimodal bi-relational graph J Xu, V Jagadeesh, BS Manjunath IEEE transactions on multimedia 16 (2), 403-412, 2014 | 38 | 2014 |
| Estimating depth from a single image A Bhardwaj, MH Baig, R Piramuthu, V Jagadeesh, W Di US Patent 9,275,078, 2016 | 37 | 2016 |
| From where and how to what we see S Karthikeyan, V Jagadeesh, R Shenoy, M Ecksteinz, BS Manjunath Proceedings of the IEEE International Conference on Computer Vision, 625-632, 2013 | 33 | 2013 |
| Fast 3d model fitting and anthropometrics using synthetic data Q Wang, R Piramuthu, V Jagadeesh, BK Ressler US Patent App. 14/883,419, 2016 | 32 | 2016 |
| Complementary item recommendations using image feature data A Bhardwaj, W Di, V Jagadeesh, R Piramuthu, N Sundaresan US Patent 9,311,666, 2016 | 29 | 2016 |
| Synapse classification and localization in electron micrographs V Jagadeesh, J Anderson, B Jones, R Marc, S Fisher, BS Manjunath Pattern Recognition Letters 43, 17-24, 2014 | 29 | 2014 |
| When relevance is not enough: Promoting visual attractiveness for fashion e-commerce W Di, A Bhardwaj, V Jagadeesh, R Piramuthu, E Churchill arXiv preprint arXiv:1406.3561, 2014 | 29 | 2014 |
| 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 | 28 | 2014 |
| Graph-based topic-focused retrieval in distributed camera network J Xu, V Jagadeesh, Z Ni, S Sunderrajan, BS Manjunath IEEE Transactions on Multimedia 15 (8), 2046-2057, 2013 | 28 | 2013 |
Anurag BhardwajApple IncZweryfikowany adres z buffalo.edu
