| 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 | 1674 | 2015 |
| 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 | 1144 | 2015 |
| Improving computer-aided detection using convolutional neural networks and random view aggregation HR Roth, L Lu, J Liu, J Yao, A Seff, K Cherry, L Kim, RM Summers IEEE transactions on medical imaging 35 (5), 1170-1181, 2015 | 577 | 2015 |
| A new 2.5 D representation for lymph node detection using random sets of deep convolutional neural network observations HR Roth, L Lu, A Seff, KM Cherry, J Hoffman, S Wang, J Liu, E Turkbey, ... International conference on medical image computing and computer-assisted …, 2014 | 538 | 2014 |
| Anatomy-specific classification of medical images using deep convolutional nets HR Roth, CT Lee, HC Shin, A Seff, L Kim, J Yao, L Lu, RM Summers 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 101-104, 2015 | 181 | 2015 |
| Interleaved text/image deep mining on a very large-scale radiology database HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 169 | 2015 |
| Continual learning in generative adversarial nets A Seff, A Beatson, D Suo, H Liu arXiv preprint arXiv:1705.08395, 2017 | 93 | 2017 |
| 2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers A Seff, L Lu, KM Cherry, HR Roth, J Liu, S Wang, J Hoffman, EB Turkbey, ... International conference on medical image computing and computer-assisted …, 2014 | 54 | 2014 |
| Learning from maps: Visual common sense for autonomous driving A Seff, J Xiao arXiv preprint arXiv:1611.08583, 2016 | 39 | 2016 |
| Leveraging mid-level semantic boundary cues for automated lymph node detection A Seff, L Lu, A Barbu, H Roth, HC Shin, RM Summers International conference on medical image computing and computer-assisted …, 2015 | 39 | 2015 |
| Large-scale scene understanding challenge: Room layout estimation Y Zhang, F Yu, S Song, P Xu, A Seff, J Xiao CVPR Workshop, 2015 | 37 | 2015 |
| SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design A Seff, Y Ovadia, W Zhou, RP Adams ICML 2020 Workshop on Object-Oriented Learning, 2020 | 22 | 2020 |
| Discrete Object Generation with Reversible Inductive Construction A Seff, W Zhou, F Damani, A Doyle, RP Adams NeurIPS 2019, 2019 | 20 | 2019 |
| An analysis of robust cost functions for CNN in computer-aided diagnosis A Barbu, L Lu, H Roth, A Seff, RM Summers Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 18 | 2018 |
| Reliability of negative BOLD in ipsilateral sensorimotor areas during unimanual task activity KM McGregor, A Sudhyadhom, J Nocera, A Seff, B Crosson, AJ Butler Brain imaging and behavior 9 (2), 245-254, 2015 | 17 | 2015 |
| Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017 | 12 | 2017 |
| Efficient false positive reduction in computer-aided detection using convolutional neural networks and random view aggregation HR Roth, L Lu, J Liu, J Yao, A Seff, K Cherry, L Kim, RM Summers Deep learning and convolutional neural networks for medical image computing …, 2017 | 7 | 2017 |
| LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop FYYZS Song, ASJ Xiao arXiv preprint arXiv:1506.03365, 2015 | 7 | 2015 |
| Vitruvion: A Generative Model of Parametric CAD Sketches A Seff, W Zhou, N Richardson, RP Adams ICLR 2022, 2021 | 5 | 2021 |
| Interleaved text/image deep mining on a large-scale radiology image database HC Shin, L Lu, L Kim, A Seff, J Yao, R Summers Deep Learning and Convolutional Neural Networks for Medical Image Computing …, 2017 | 5 | 2017 |
