| VisDrone-DET2019: The vision meets drone object detection in image challenge results D Du, P Zhu, L Wen, X Bian, H Lin, Q Hu, T Peng, J Zheng, X Wang, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 361 | 2019 |
| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 162 | 2018 |
| Embedded discriminative attention mechanism for weakly supervised semantic segmentation T Wu, J Huang, G Gao, X Wei, X Wei, X Luo, CH Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 138 | 2021 |
| HRDNet: High-resolution detection network for small objects Z Liu, G Gao, L Sun, Z Fang 2021 IEEE international conference on multimedia and expo (ICME), 1-6, 2021 | 132 | 2021 |
| Real-time small traffic sign detection with revised faster-RCNN C Han, G Gao, Y Zhang Multimedia Tools and Applications 78, 13263-13278, 2019 | 98 | 2019 |
| Static saliency vs. dynamic saliency: a comparative study TV Nguyen, M Xu, G Gao, M Kankanhalli, Q Tian, S Yan Proceedings of the 21st ACM international conference on Multimedia, 987-996, 2013 | 78 | 2013 |
| Visdrone-vid2019: The vision meets drone object detection in video challenge results P Zhu, D Du, L Wen, X Bian, H Ling, Q Hu, T Peng, J Zheng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 68 | 2019 |
| IPG-net: Image pyramid guidance network for small object detection Z Liu, G Gao, L Sun, L Fang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
| Batch-orthogonal locality-sensitive hashing for angular similarity J Ji, S Yan, J Li, G Gao, Q Tian, B Zhang IEEE transactions on pattern analysis and machine intelligence 36 (10), 1963 …, 2014 | 38 | 2014 |
| Fashion clothes matching scheme based on Siamese Network and AutoEncoder G Gao, L Liu, L Wang, Y Zhang Multimedia Systems 25 (6), 593-602, 2019 | 28 | 2019 |
| Mining unseen classes via regional objectness: A simple baseline for incremental segmentation Z Zhang, G Gao, Z Fang, J Jiao, Y Wei Advances in neural information processing systems 35, 24340-24353, 2022 | 23 | 2022 |
| Visual-textual association with hardest and semi-hard negative pairs mining for person search J Ge, G Gao, Z Liu arXiv preprint arXiv:1912.03083, 2019 | 18 | 2019 |
| Adaptive spatial-bce loss for weakly supervised semantic segmentation T Wu, G Gao, J Huang, X Wei, X Wei, CH Liu European Conference on Computer Vision, 199-216, 2022 | 16 | 2022 |
| Drnet: Double recalibration network for few-shot semantic segmentation G Gao, Z Fang, C Han, Y Wei, CH Liu, S Yan IEEE Transactions on Image Processing 31, 6733-6746, 2022 | 12 | 2022 |
| To accelerate shot boundary detection by reducing detection region and scope G Gao, H Ma Multimedia tools and applications 71, 1749-1770, 2014 | 12 | 2014 |
| Coinseg: Contrast inter-and intra-class representations for incremental segmentation Z Zhang, G Gao, J Jiao, CH Liu, Y Wei Proceedings of the IEEE/CVF International Conference on Computer Vision, 843-853, 2023 | 11 | 2023 |
| Multi-modality movie scene detection using kernel canonical correlation analysis G Gao, H Ma Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 11 | 2012 |
| Action recognition with bootstrapping based long-range temporal context attention Z Liu, G Gao, AK Qin, T Wu, CH Liu Proceedings of the 27th ACM International Conference on Multimedia, 583-591, 2019 | 10 | 2019 |
| Adaptive learning for celebrity identification with video context C Xiong, G Gao, Z Zha, S Yan, H Ma, TK Kim IEEE transactions on multimedia 16 (5), 1473-1485, 2014 | 9 | 2014 |
| Accelerating shot boundary detection by reducing spatial and temporal redundant information G Gao, H Ma 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 9 | 2011 |
Chi Harold LiuProfessor, Vice Dean, Fellow of IET and BCS, Beijing Institute of Technology在 bit.edu.cn 的电子邮件经过验证
