| VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Y Zhou, O Tuzel Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 928 | 2018 |
| Scalability in perception for autonomous driving: Waymo open dataset P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 108 | 2020 |
| Classification of histology sections via multispectral convolutional sparse coding Y Zhou, H Chang, K Barner, P Spellman, B Parvin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 94 | 2014 |
| Stacked predictive sparse decomposition for classification of histology sections H Chang, Y Zhou, A Borowsky, K Barner, P Spellman, B Parvin International journal of computer vision 113 (1), 3-18, 2015 | 44 | 2015 |
| Locality constrained dictionary learning for nonlinear dimensionality reduction Y Zhou, KE Barner IEEE Signal Processing Letters 20 (4), 335-338, 2013 | 40 | 2013 |
| End-to-end multi-view fusion for 3d object detection in lidar point clouds Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ... Conference on Robot Learning, 923-932, 2020 | 39 | 2020 |
| MVX-Net: Multimodal voxelnet for 3D object detection VA Sindagi, Y Zhou, O Tuzel 2019 International Conference on Robotics and Automation (ICRA), 7276-7282, 2019 | 32 | 2019 |
| Kernel-based sparse representation for gesture recognition Y Zhou, K Liu, RE Carrillo, KE Barner, F Kiamilev Pattern Recognition 46 (12), 3208-3222, 2013 | 30 | 2013 |
| Stacked predictive sparse coding for classification of distinct regions in tumor histopathology H Chang, Y Zhou, P Spellman, B Parvin Proceedings of the IEEE international conference on computer vision, 169-176, 2013 | 27 | 2013 |
| Nuclei Segmentation via Sparsity Constrained Convolutional Regression BP Yin Zhou, Hang Chang, Kenneth. E. Barner IEEE International Symposium on Biomedical Imaging (ISBI), 2015 | 20 | 2015 |
| Nuclei Segmentation via Sparsity Constrained Convolutional Regression Yin Zhou , Hang Chang , Kenneth E. Barner, Bahram Parvin IEEE International Symposium on Biomedical Imaging (ISBI 2015), 0 | 20* | |
| Starnet: Targeted computation for object detection in point clouds J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ... arXiv preprint arXiv:1908.11069, 2019 | 18 | 2019 |
| Methods for delineating cellular regions and classifying regions of histopathology and microanatomy B Parvin, H Chang, Y Zhou US Patent 10,776,606, 2020 | 17 | 2020 |
| View: Visual information extraction widget for improving chart images accessibility J Gao, Y Zhou, KE Barner 2012 19th IEEE International Conference on Image Processing, 2865-2868, 2012 | 16 | 2012 |
| Unleash the Black Magic in Age: a Multi-task Deep Neural Network Approach for Cross-age Face Verification JZ Xiaolong Wang, Yin Zhou, Deguang Kong, Jon Currey, Dawei Li IEEE International Conf. on Automatic Face and Gesture Recognition (FG), 2017, 2017 | 12 | 2017 |
| Rapidity gap analysis and event rapidity correlation C Xiong, YL ZHOU, YF WU Chinese Physics C 29 (6), 583-585, 2005 | 10 | 2005 |
| Scalability in perception for autonomous driving: An open dataset benchmark P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... arXiv preprint arXiv:1912.04838, 2019 | 9 | 2019 |
| High-speed structured light scanning system and 3D gestural point cloud recognition Y Zhou, K Liu, J Gao, KE Barner, F Kiamilev 2013 47th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2013 | 7 | 2013 |
| An enhanced sparse representation strategy for signal classification Y Zhou, J Gao, KE Barner Compressive Sensing 8365, 83650H, 2012 | 7 | 2012 |
| A Study of Convolutional Sparse Feature Learning for Human Age Estimate CK Xiaolong Wang, Robert Li, Yin Zhou Automatic Face & Gesture Recognition (FG 2017), 2017 12th IEEE International …, 2017 | 5* | 2017 |
Kenneth E. BarnerCharles B Evans Professor, Electrical and Computer Engineering, University of DelawareVerified email at udel.edu
