| Residual networks behave like ensembles of relatively shallow networks A Veit, MJ Wilber, S Belongie Advances in Neural Information Processing Systems, 550-558, 2016 | 1171 | 2016 |
| Training and investigating residual nets S Gross, M Wilber Facebook AI Research, 2016 | 179* | 2016 |
| Bam! the behance artistic media dataset for recognition beyond photography MJ Wilber, C Fang, H Jin, A Hertzmann, J Collomosse, S Belongie Proceedings of the IEEE International Conference on Computer Vision, 1202-1211, 2017 | 140 | 2017 |
| Cost-effective HITs for relative similarity comparisons MJ Wilber, IS Kwak, SJ Belongie The Second AAAI Conference on Human Computation and Crowdsourcing, 2014 | 98 | 2014 |
| Sketching with style: Visual search with sketches and aesthetic context J Collomosse, T Bui, MJ Wilber, C Fang, H Jin Proceedings of the IEEE International Conference on Computer Vision, 2660-2668, 2017 | 55 | 2017 |
| Can we still avoid automatic face detection? MJ Wilber, V Shmatikov, S Belongie 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 55 | 2016 |
| Learning concept embeddings with combined human-machine expertise M Wilber, IS Kwak, D Kriegman, S Belongie Proceedings of the IEEE International Conference on Computer Vision, 981-989, 2015 | 51 | 2015 |
| Animal Recognition in the Mojave Desert: Vision Tools for Field Biologists MJ Wilber, WJ Scheirer, P Leitner, B Heflin, J Zott, D Reinke, DK Delaney, ... Workshop on the Applications of Computer Vision (WACV 2013), 2013 | 41 | 2013 |
| Face and eye detection on hard datasets J Parris, M Wilber, B Heflin, H Rara, A El-Barkouky, A Farag, J Movellan, ... 2011 International Joint Conference on Biometrics (IJCB), 1-10, 2011 | 37 | 2011 |
| Good recognition is non-metric WJ Scheirer, MJ Wilber, M Eckmann, TE Boult Pattern Recognition 47 (8), 2721-2731, 2014 | 32 | 2014 |
| Learning from Multi-domain Artistic Images for Arbitrary Style Transfer Z Xu, M Wilber, C Fang, A Hertzmann, H Jin arXiv preprint arXiv:1805.09987, 2018 | 29 | 2018 |
| Secure remote matching with privacy: Scrambled support vector vaulted verification (S²V³) MJ Wilber, TE Boult Applications of Computer Vision (WACV), 2012 IEEE Workshop on, 169-176, 2012 | 25 | 2012 |
| Image representations and new domains in neural image captioning J Hessel, N Savva, MJ Wilber arXiv preprint arXiv:1508.02091, 2015 | 19 | 2015 |
| Exemplar codes for facial attributes and tattoo recognition MJ Wilber, E Rudd, B Heflin, YM Lui, TE Boult IEEE Winter Conference on Applications of Computer Vision, 205-212, 2014 | 18 | 2014 |
| Privv: Private remote iris-authentication with vaulted verification MJ Wilber, WJ Scheirer, TE Boult 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 12 | 2012 |
| Adversarial Training for Fast Arbitrary Style Transfer Z Xu, M Wilber, C Fang, A Hertzmann, H Jin Computers & Graphics, 2020 | 6 | 2020 |
| Understanding Image Quality and Trust in Peer-to-Peer Marketplaces X Ma, L Mezghani, K Wilber, H Hong, R Piramuthu, M Naaman, ... 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 511-520, 2019 | 4 | 2019 |
| On optimizing human-machine task assignments A Veit, M Wilber, R Vaish, S Belongie, J Davis, V Anand, A Aviral, ... arXiv preprint arXiv:1509.07543, 2015 | 3 | 2015 |
| Issues in rotational (non-) invariance and image preprocessing L Jain, MJ Wilber, TE Boult Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 3 | 2013 |
| Learning perceptual similarity from crowds and machines M Wilber | | 2018 |
Andreas VeitResearch Scientist, GoogleVerified email at cs.cornell.edu
