| Learning deep features for scene recognition using places database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva Advances in Neural Information Processing Systems, 487-495, 2014 | 2197 | 2014 |
| SUN database: Large-scale scene recognition from abbey to zoo J Xiao, J Hays, KA Ehinger, A Oliva, A Torralba Computer vision and pattern recognition (CVPR), 2010 IEEE conference on …, 2010 | 2000 | 2010 |
| 3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 1585 | 2015 |
| ShapeNet: An Information-Rich 3D Model Repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015 | 1035 | 2015 |
| DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving C Chen, A Seff, A Kornhauser, J Xiao Proceedings of the IEEE International Conference on Computer Vision, 2722-2730, 2015 | 819 | 2015 |
| SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite S Song, SP Lichtenberg, J Xiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 598 | 2015 |
| SUN3D: A database of big spaces reconstructed using sfm and object labels J Xiao, A Owens, A Torralba Proceedings of the IEEE International Conference on Computer Vision, 1625-1632, 2013 | 382 | 2013 |
| Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop F Yu, A Seff, Y Zhang, S Song, T Funkhouser, J Xiao arXiv preprint arXiv:1506.03365, 2015 | 362 | 2015 |
| What makes an image memorable? P Isola, J Xiao, A Torralba, A Oliva Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 145-152, 2011 | 344 | 2011 |
| Deep sliding shapes for amodal 3D object detection in RGB-D images S Song, J Xiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 339 | 2016 |
| Sliding shapes for 3d object detection in depth images S Song, J Xiao | 301 | 2014 |
| Tracking revisited using rgbd camera: Unified benchmark and baselines S Song, J Xiao Proceedings of the IEEE International Conference on Computer Vision, 233-240, 2013 | 241 | 2013 |
| Image-based street-side city modeling J Xiao, T Fang, P Zhao, M Lhuillier, L Quan ACM Transactions on Graphics (TOG) 28 (5), 114, 2009 | 211 | 2009 |
| 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 (1), 3-22, 2016 | 204 | 2016 |
| Image-based faēade modeling J Xiao, T Fang, P Tan, P Zhao, E Ofek, L Quan ACM Transactions on Graphics (TOG) 27 (5), 161, 2008 | 203 | 2008 |
| Reconstructing the world’s museums J Xiao, Y Furukawa Computer Vision–ECCV 2012, 668-681, 2012 | 199 | 2012 |
| 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions A Zeng, S Song, M Niessner, M Fisher, J Xiao, T Funkhouser arXiv preprint arXiv:1603.08182, 2016 | 182 | 2016 |
| Multiple view semantic segmentation for street view images J Xiao, L Quan Computer Vision, 2009 IEEE 12th International Conference on, 686-693, 2009 | 172 | 2009 |
| What makes a photograph memorable? P Isola, J Xiao, D Parikh, A Torralba, A Oliva IEEE transactions on pattern analysis and machine intelligence 36 (7), 1469-1482, 2014 | 169 | 2014 |
| Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge A Zeng, KT Yu, S Song, D Suo, E Walker Jr, A Rodriguez, J Xiao arXiv preprint arXiv:1609.09475, 2016 | 155 | 2016 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
