| Trustworthy AI: From Principles to Practices B Li, P Qi, B Liu, S Di, J Liu, J Pei, J Yi, B Zhou ACM Computing Surveys, 2022 | 339 | 2022 |
| Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors J Yi, P Wu, B Liu, Q Huang, H Qu, D Metaxas WACV 2021, 2020 | 308 | 2020 |
| Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang arXiv preprint arXiv:1911.08538, 2019 | 141 | 2019 |
| The ninth visual object tracking vot2021 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 122 | 2021 |
| Adaptive graph convolutional network with attention graph clustering for co-saliency detection K Zhang, T Li, S Shen, B Liu, J Chen, Q Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 114 | 2020 |
| Co-saliency detection via mask-guided fully convolutional networks with multi-scale label smoothing K Zhang, T Li, B Liu, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 100 | 2019 |
| Dual-path attention network for compressed sensing image reconstruction Y Sun, J Chen, Q Liu, B Liu, G Guo IEEE Transactions on Image Processing 29, 9482-9495, 2020 | 99 | 2020 |
| The tenth visual object tracking vot2022 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 431-460, 2022 | 60 | 2022 |
| Multi-scale cell instance segmentation with keypoint graph based bounding boxes J Yi, P Wu, Q Huang, H Qu, B Liu, DJ Hoeppner, DN Metaxas Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 58 | 2019 |
| Deep transport network for unsupervised video object segmentation K Zhang, Z Zhao, D Liu, Q Liu, B Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 57 | 2021 |
| Multi-Stage Feature Fusion Network for Video Super-Resolution H Song, W Xu, D Liu, B Liu, Q Liu, DN Metaxas IEEE Transactions on Image Processing, 2021 | 56 | 2021 |
| Generative adversarial attributed network anomaly detection Z Chen, B Liu, M Wang, P Dai, J Lv, L Bo Proceedings of the 29th ACM International Conference on Information …, 2020 | 55 | 2020 |
| Deep object co-segmentation via spatial-semantic network modulation K Zhang, J Chen, B Liu, Q Liu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12813 …, 2020 | 42 | 2020 |
| Deepacg: Co-saliency detection via semantic-aware contrast gromov-wasserstein distance K Zhang, M Dong, B Liu, XT Yuan, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Sharpen focus: Learning with attention separability and consistency L Wang, Z Wu, S Karanam, KC Peng, RV Singh, B Liu, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision, 512-521, 2019 | 39 | 2019 |
| Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions J Liu, B Liu, S Zhang, F Yang, P Yang, DN Metaxas, C Neidle Image and Vision Computing 32 (10), 671-681, 2014 | 39 | 2014 |
| Multiple instance learning framework with masked hard instance mining for whole slide image classification W Tang, S Huang, X Zhang, F Zhou, Y Zhang, B Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 37 | 2023 |
| Large scale medical image search via unsupervised PCA hashing X Yu, S Zhang, B Liu, L Zhong, D Metaxas Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 37 | 2013 |
| Meta-Learning with Network Pruning H Tian, B Liu, XT Yuan, Q Liu ECCV, 2020 | 36 | 2020 |
| Joint learning of labels and distance metric B Liu, M Wang, R Hong, Z Zha, XS Hua IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 36 | 2009 |
Dimitris N. MetaxasBoard of Governors Professor of Computer Science, Rutgers UniversityE-mail megerősítve itt: cs.rutgers.edu
