| Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors D Qin, S Gammeter, L Bossard, T Quack, L Van Gool CVPR 2011, 777-784, 2011 | 382 | 2011 |
| Query adaptive similarity for large scale object retrieval D Qin, C Wengert, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 107 | 2013 |
| Improving Object Detection with Selective Self-supervised Self-training Y Li, D Huang, D Qin, L Wang, B Gong European Conference on Computer Vision, 589-607, 2020 | 71 | 2020 |
| Cap2det: Learning to amplify weak caption supervision for object detection K Ye, M Zhang, A Kovashka, W Li, D Qin, J Berent Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 55 | 2019 |
| Quantized kernel learning for feature matching D Qin, X Chen, M Guillaumin, LV Gool Advances in Neural Information Processing Systems 27, 2014 | 11 | 2014 |
| Learning to rank bag-of-word histograms for large-scale object retrieval D Qin, Y Chen, M Guillaumin, L Van Gool Proceedings BMVC 2014, 1-12, 2014 | 8 | 2014 |
| Learning to overcome noise in weak caption supervision for object detection ME Unal, K Ye, M Zhang, C Thomas, A Kovashka, W Li, D Qin, J Berent IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4897-4914, 2022 | 7 | 2022 |
| Learning to discover and localize visual objects with open vocabulary K Ye, M Zhang, W Li, D Qin, A Kovashka, J Berent arXiv preprint arXiv:1811.10080, 2018 | 4 | 2018 |
| A comparison study of the local feature detectors D Qin Thesis, 2010 | 1 | 2010 |
| Improving image retrieval by introducing locality sensitive encoding to visual similarity measures D Qin ETH Zurich, 2016 | | 2016 |
