| Residual networks behave like ensembles of relatively shallow networks A Veit, MJ Wilber, S Belongie Advances in neural information processing systems 29, 2016 | 1455 | 2016 |
| Training and investigating residual nets S Gross, M Wilber Facebook AI Research, 2016 | 193* | 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 | 176 | 2017 |
| Benchmarking representation learning for natural world image collections G Van Horn, E Cole, S Beery, K Wilber, S Belongie, O Mac Aodha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 161 | 2021 |
| When does contrastive visual representation learning work? E Cole, X Yang, K Wilber, O Mac Aodha, S Belongie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 136 | 2022 |
| Cost-effective HITs for relative similarity comparisons MJ Wilber, IS Kwak, SJ Belongie The Second AAAI Conference on Human Computation and Crowdsourcing, 2014 | 110 | 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 | 71 | 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 | 68 | 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 | 54 | 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 | 47 | 2013 |
| 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 | 43 | 2018 |
| On the reproducibility of neural network predictions S Bhojanapalli, K Wilber, A Veit, AS Rawat, S Kim, A Menon, S Kumar arXiv preprint arXiv:2102.03349, 2021 | 41 | 2021 |
| 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 | 34 | 2014 |
| 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 | 24 | 2014 |
| 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 | 24 | 2012 |
| Image representations and new domains in neural image captioning J Hessel, N Savva, MJ Wilber arXiv preprint arXiv:1508.02091, 2015 | 22 | 2015 |
| Oisin Mac Aodha, and Serge Belongie E Cole, X Yang, K Wilber When does contrastive visual representation learning work, 2022 | 14 | 2022 |
| Adversarial training for fast arbitrary style transfer Z Xu, M Wilber, C Fang, A Hertzmann, H Jin Computers & Graphics 87, 1-11, 2020 | 12 | 2020 |
| 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 |
Andreas VeitResearch Scientist, GoogleVerified email at cs.cornell.edu
