| Hrank: Filter pruning using high-rank feature map M Lin, R Ji, Y Wang, Y Zhang, B Zhang, Y Tian, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 776 | 2020 |
| Cyclic guidance for weakly supervised joint detection and segmentation Y Shen, R Ji, Y Wang, Y Wu, L Cao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 130 | 2019 |
| Rotated binary neural network M Lin, R Ji, Z Xu, B Zhang, Y Wang, Y Wu, F Huang, CW Lin Advances in neural information processing systems 33, 7474-7485, 2020 | 123 | 2020 |
| Generative adversarial learning towards fast weakly supervised detection Y Shen, R Ji, S Zhang, W Zuo, Y Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 90 | 2018 |
| Regrasping and unfolding of garments using predictive thin shell modeling Y Li, D Xu, Y Yue, Y Wang, SF Chang, E Grinspun, PK Allen 2015 IEEE International Conference on Robotics and Automation (ICRA), 1382-1388, 2015 | 83 | 2015 |
| Real-time pose estimation of deformable objects using a volumetric approach Y Li, Y Wang, M Case, SF Chang, PK Allen 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 83 | 2014 |
| Web-scale responsive visual search at bing H Hu, Y Wang, L Yang, P Komlev, L Huang, X Chen, J Huang, Y Wu, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 69 | 2018 |
| Semi-supervised adversarial monocular depth estimation R Ji, K Li, Y Wang, X Sun, F Guo, X Guo, Y Wu, F Huang, J Luo IEEE transactions on pattern analysis and machine intelligence 42 (10), 2410 …, 2019 | 52 | 2019 |
| Label propagation from imagenet to 3d point clouds Y Wang, R Ji, SF Chang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 48 | 2013 |
| Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects Y Li, Y Wang, Y Yue, D Xu, M Case, SF Chang, E Grinspun, PK Allen IEEE Transactions on Automation Science and Engineering 15 (4), 1621 - 1638, 2018 | 42 | 2018 |
| Detecting key roles and their relationships from video T Mei, XS Hua, S Li, Y Wang US Patent 9,271,035, 2016 | 34 | 2016 |
| Distilling a powerful student model via online knowledge distillation S Li, M Lin, Y Wang, Y Wu, Y Tian, L Shao, R Ji IEEE transactions on neural networks and learning systems, 2022 | 32 | 2022 |
| Variational structured semantic inference for diverse image captioning F Chen, R Ji, J Ji, X Sun, B Zhang, X Ge, Y Wu, F Huang, Y Wang Advances in Neural Information Processing Systems 32, 2019 | 32 | 2019 |
| Towards lightweight transformer via group-wise transformation for vision-and-language tasks G Luo, Y Zhou, X Sun, Y Wang, L Cao, Y Wu, F Huang, R Ji IEEE Transactions on Image Processing 31, 3386-3398, 2022 | 30 | 2022 |
| Learning efficient gans for image translation via differentiable masks and co-attention distillation S Li, M Lin, Y Wang, C Fei, L Shao, R Ji IEEE Transactions on Multimedia, 2022 | 28 | 2022 |
| Meta architecture for point cloud analysis H Lin, X Zheng, L Li, F Chao, S Wang, Y Wang, Y Tian, R Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Black-box dissector: Towards erasing-based hard-label model stealing attack Y Wang, J Li, H Liu, Y Wang, Y Wu, F Huang, R Ji European conference on computer vision, 192-208, 2022 | 26 | 2022 |
| 3D shape retrieval using a single depth image from low-cost sensors J Feng, Y Wang, SF Chang 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 23 | 2016 |
| Visualizing dispersive features in 2D image via minimum gradient method Y He, Y Wang, ZX Shen Review of Scientific Instruments 88 (7), 2017 | 21 | 2017 |
| From low-cost depth sensors to cad: Cross-domain 3d shape retrieval via regression tree fields Y Wang, J Feng, Z Wu, J Wang, SF Chang Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 21 | 2014 |
Rongrong Ji 纪荣嵘Professor, Xiamen UniversityVerified email at xmu.edu.cn
