DispSegNet: Leveraging semantics for end-to-end learning of disparity estimation From stereo imagery J Zhang, KA Skinner, R Vasudevan, M Johnson-Roberson IEEE Robotics and Automation Letters 4 (2), 1162-1169, 2019 | 61 | 2019 |
UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery KA Skinner, J Zhang, EA Olson, M Johnson-Roberson 2019 International Conference on Robotics and Automation (ICRA), 7947-7954, 2019 | 41 | 2019 |
Point set voting for partial point cloud analysis J Zhang, W Chen, Y Wang, R Vasudevan, M Johnson-Roberson IEEE Robotics and Automation Letters 6 (2), 596-603, 2021 | 32 | 2021 |
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery J Zhang, MS Ramanagopal, R Vasudevan, M Johnson-Roberson 2020 IEEE International Conference on Robotics and Automation (ICRA), 7829-7836, 2020 | 32 | 2020 |
Strategies for the AFM-based manipulation of silver nanowires on a flat surface HZ Liu, S Wu, JM Zhang, HT Bai, F Jin, H Pang, XD Hu Nanotechnology 28 (36), 365301, 2017 | 21 | 2017 |
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks J Zhang, MY Yu, R Vasudevan, M Johnson-Roberson 2020 International Conference on 3D Vision (3DV), 200-209, 2020 | 20 | 2020 |
Calibration of the effective spring constant of ultra-short cantilevers for a high-speed atomic force microscope YP Song, S Wu, LY Xu, JM Zhang, DJ Dorantes-Gonzalez, X Fu, XD Hu Measurement Science and Technology 26 (6), 065001, 2015 | 15 | 2015 |
Synthetic Data Generation for Deep Learning of Underwater Disparity Estimation EA Olson, C Barbalata, J Zhang, KA Skinner, M Johnson-Roberson OCEANS 2018 MTS/IEEE Charleston, 1-6, 2018 | 7 | 2018 |
Hyperspherical Embedding for Point Cloud Completion J Zhang, H Zhang, R Vasudevan, M Johnson-Roberson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
银纳米线与二氧化硅衬底表面摩擦力的测量 吴森, 张峻铭, 刘鸿志, 张锐, 胡晓东 电子显微学报 35 (2), 109-117, 2016 | | 2016 |