| Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer vision–ECCV 2014: 13th European conference, zurich, Switzerland …, 2014 | 56960 | 2014 |
| Sun database: Large-scale scene recognition from abbey to zoo J Xiao, J Hays, KA Ehinger, A Oliva, A Torralba 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 4450 | 2010 |
| Fleet D, Pajdla T, Schiele B, Tuytelaars T, et al. Microsoft COCO: common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer Vision–ECCV 2014, 740-755, 2014 | 1888 | 2014 |
| Argoverse: 3d tracking and forecasting with rich maps MF Chang, J Lambert, P Sangkloy, J Singh, S Bak, A Hartnett, D Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1648 | 2019 |
| Scene completion using millions of photographs J Hays, AA Efros ACM Transactions on graphics (TOG) 26 (3), 4-es, 2007 | 1275 | 2007 |
| How do humans sketch objects? M Eitz, J Hays, M Alexa ACM Transactions on graphics (TOG) 31 (4), 1-10, 2012 | 1167 | 2012 |
| Im2gps: estimating geographic information from a single image J Hays, AA Efros 2008 ieee conference on computer vision and pattern recognition, 1-8, 2008 | 1163 | 2008 |
| Sun attribute database: Discovering, annotating, and recognizing scene attributes G Patterson, J Hays 2012 IEEE conference on computer vision and pattern recognition, 2751-2758, 2012 | 1050 | 2012 |
| On convergence and stability of gans N Kodali, J Abernethy, J Hays, Z Kira arXiv preprint arXiv:1705.07215, 2017 | 848* | 2017 |
| An empirical study of context in object detection SK Divvala, D Hoiem, JH Hays, AA Efros, M Hebert 2009 IEEE Conference on computer vision and Pattern Recognition, 1271-1278, 2009 | 742 | 2009 |
| The sketchy database: learning to retrieve badly drawn bunnies P Sangkloy, N Burnell, C Ham, J Hays ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016 | 740 | 2016 |
| Argoverse 2: Next generation datasets for self-driving perception and forecasting B Wilson, W Qi, T Agarwal, J Lambert, J Singh, S Khandelwal, B Pan, ... arXiv preprint arXiv:2301.00493, 2023 | 645 | 2023 |
| Scribbler: Controlling deep image synthesis with sketch and color P Sangkloy, J Lu, C Fang, F Yu, J Hays Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 630 | 2017 |
| Edge-based blur kernel estimation using patch priors L Sun, S Cho, J Wang, J Hays IEEE international conference on computational photography (ICCP), 1-8, 2013 | 580 | 2013 |
| Microsoft COCO: common objects in context. CoRR abs/1405.0312 (2014) T Lin, M Maire, SJ Belongie, LD Bourdev, RB Girshick, J Hays, P Perona, ... | 572 | 2014 |
| Scalable webcam eye tracking by learning from user interactions A Papoutsaki Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 | 504 | 2015 |
| Sun database: Exploring a large collection of scene categories J Xiao, KA Ehinger, J Hays, A Torralba, A Oliva International Journal of Computer Vision 119, 3-22, 2016 | 482 | 2016 |
| The sun attribute database: Beyond categories for deeper scene understanding G Patterson, C Xu, H Su, J Hays International Journal of Computer Vision 108, 59-81, 2014 | 480 | 2014 |
| Geometry-aware learning of maps for camera localization S Brahmbhatt, J Gu, K Kim, J Hays, J Kautz Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 479 | 2018 |
| Learning deep representations for ground-to-aerial geolocalization TY Lin, Y Cui, S Belongie, J Hays Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 462 | 2015 |