| Deep metric learning via lifted structured feature embedding HO Song, Y Xiang, S Jegelka, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 883 | 2016 |
| On learning to localize objects with minimal supervision HO Song, R Girshick, S Jegelka, J Mairal, Z Harchaoui, T Darrell Proceedings of the 31th International Conference on Machine Learning (ICML-14), 2014 | 247 | 2014 |
| Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 224 | 2017 |
| Learning transferrable representations for unsupervised domain adaptation O Sener, HO Song, A Saxena, S Savarese Proceedings of the 30th International Conference on Neural Information …, 2016 | 201 | 2016 |
| Weakly-supervised discovery of visual pattern configurations HO Song, YJ Lee, S Jegelka, T Darrell arXiv preprint arXiv:1406.6507, 2014 | 154 | 2014 |
| Semantic instance segmentation via deep metric learning A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ... arXiv preprint arXiv:1703.10277, 2017 | 130 | 2017 |
| Sparselet models for efficient multiclass object detection HO Song, S Zickler, T Althoff, R Girshick, M Fritz, C Geyer, P Felzenszwalb, ... European conference on computer vision, 802-815, 2012 | 102 | 2012 |
| Parsimonious black-box adversarial attacks via efficient combinatorial optimization S Moon, G An, HO Song International Conference on Machine Learning, 4636-4645, 2019 | 50 | 2019 |
| Learning to detect visual grasp affordance HO Song, M Fritz, D Goehring, T Darrell IEEE Transactions on Automation Science and Engineering 13 (2), 798-809, 2015 | 42 | 2015 |
| Discriminatively activated sparselets R Girshick, HO Song, T Darrell International Conference on Machine Learning, 196-204, 2013 | 33 | 2013 |
| Detection bank: an object detection based video representation for multimedia event recognition T Althoff, HO Song, T Darrell Proceedings of the 20th ACM international conference on Multimedia, 1065-1068, 2012 | 28 | 2012 |
| Emi: Exploration with mutual information H Kim, J Kim, Y Jeong, S Levine, HO Song International Conference on Machine Learning, 3360-3369, 2019 | 22* | 2019 |
| Visual grasp affordances from appearance-based cues HO Song, M Fritz, C Gu, T Darrell 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 21 | 2011 |
| Generalized sparselet models for real-time multiclass object recognition HO Song, R Girshick, S Zickler, C Geyer, P Felzenszwalb, T Darrell IEEE transactions on pattern analysis and machine intelligence 37 (5), 1001-1012, 2014 | 19 | 2014 |
| Variable thermal resistors (VTR) for thermal management of chip scale atomic clocks (CSAC) HS Kim, HH Liao, HO Song, TW Kenny 2008 IEEE 21st International Conference on Micro Electro Mechanical Systems …, 2008 | 16 | 2008 |
| Learning discrete and continuous factors of data via alternating disentanglement Y Jeong, HO Song International Conference on Machine Learning, 3091-3099, 2019 | 8 | 2019 |
| Efficient end-to-end learning for quantizable representations Y Jeong, HO Song Proceedings of the 35th International Conference on Machine Learning, (ICML …, 2018 | 8 | 2018 |
| Puzzle mix: Exploiting saliency and local statistics for optimal mixup JH Kim, W Choo, HO Song International Conference on Machine Learning, 5275-5285, 2020 | 4 | 2020 |
| Detection of Stop Signs HO Song, S Bolouki, A Yen | 2* | |
| Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity JH Kim, W Choo, H Jeong, HO Song arXiv preprint arXiv:2102.03065, 2021 | 1 | 2021 |
Stefanie JegelkaMITVerified email at mit.edu
