| Multi-view 3d object detection network for autonomous driving X Chen, H Ma, J Wan, B Li, T Xia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 1052 | 2017 |
| 3D Object Proposals for Accurate Object Class Detection X Chen, K Kunku, Y Zhu, A Berneshawi, H Ma, S Fidler, R Urtasun Neural Information Processing Systems, NIPS 2015, 2015 | 521 | 2015 |
| Monocular 3d object detection for autonomous driving X Chen, K Kundu, Z Zhang, H Ma, S Fidler, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 490 | 2016 |
| 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection X Chen, K Kundu, Y Zhu, H Ma, S Fidler, R Urtasun IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 | 174 | 2016 |
| Stereo r-cnn based 3d object detection for autonomous driving P Li, X Chen, S Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 142 | 2019 |
| Improving Object Proposals with Multi-Thresholding Straddling Expansion X Chen, H Ma, X Wang, Z Zhao International Conference on Computer Vision and Pattern Recognition, CVPR, 2015 | 83 | 2015 |
| Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection X Wang, H Ma, S You, X Chen arXiv:1608.08029, 2016 | 59 | 2016 |
| SALIENT OBJECT DETECTION VIA FAST R-CNN AND LOW-LEVEL CUES X Wang, H Ma, X Chen ICIP, 2016 | 22 | 2016 |
| Semantic Part based Top-Down Pyramid for Action Recognition Z Zhao, H Ma, X Chen Pattern Recognition Letters, 2016 | 21 | 2016 |
| Generalized symmetric pair model for action classification in still images Z Zhao, H Ma, X Chen Pattern Recognition 64, 347-360, 2017 | 12 | 2017 |
| Boundary-aware box refinement for object proposal generation X Chen, H Ma, C Zhu, X Wang, Z Zhao Neurocomputing 219, 323-332, 2017 | 11 | 2017 |
| Geodesic weighted Bayesian model for saliency optimization X Wang, H Ma, X Chen Pattern Recognition Letters 75, 1-8, 2016 | 8 | 2016 |
| Geodesic weighted Bayesian model for salient object detection X Wang, H Ma, X Chen 2015 IEEE International Conference on Image Processing (ICIP), 397-401, 2015 | 7 | 2015 |
| Multi-scale region candidate combination for action recognition Z Zhao, H Ma, X Chen 2016 IEEE International Conference on Image Processing (ICIP), 3071-3075, 2016 | 4 | 2016 |
| Protected pooling method of sparse coding in visual classification Z Zhao, H Ma, X Chen International Conference on Computer Vision and Graphics, 680-687, 2014 | 3 | 2014 |
| On the Over-Smoothing Problem of CNN Based Disparity Estimation C Chen, X Chen, H Cheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 1 | 2019 |
| Learning a Compact Latent Representation of the Bag-of-Parts Model X Chen, H Ma ICIP, 2014 | 1 | 2014 |
| Simplification Computing for Visual Events Based on Distinct Silhouette and View-Independent Pruning Algorithm H Ma, X Chen Chinese Conference on Image and Graphics Technologies, 243-253, 2013 | | 2013 |
| Supplementary Materials for On the Over-Smoothing Problem of CNN Based Disparity Estimation C Chen, X Chen, H Cheng | | |
Kaustav KunduResearch Scientist, Amazon AWS AIVerified email at amazon.com
