D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry N Yang, L Stumberg, R Wang, D Cremers Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 400 | 2020 |
Static and moving object detection using flux tensor with split Gaussian models R Wang, F Bunyak, G Seetharaman, K Palaniappan Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 281 | 2014 |
Recurrent neural network for (un-) supervised learning of monocular video visual odometry and depth R Wang, SM Pizer, JM Frahm Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 196 | 2019 |
SOE-Net: A self-attention and orientation encoding network for point cloud based place recognition Y Xia, Y Xu, S Li, R Wang, J Du, D Cremers, U Stilla Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021 | 107 | 2021 |
Dh3d: Deep hierarchical 3d descriptors for robust large-scale 6dof relocalization J Du, R Wang, D Cremers Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 90 | 2020 |
Real-time 3D reconstruction of colonoscopic surfaces for determining missing regions R Ma, R Wang, S Pizer, J Rosenman, SK McGill, JM Frahm Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 78 | 2019 |
4Seasons: A cross-season dataset for multi-weather SLAM in autonomous driving P Wenzel, R Wang, N Yang, Q Cheng, Q Khan, L von Stumberg, N Zeller, ... Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 54 | 2021 |
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy R Ma, R Wang, Y Zhang, S Pizer, SK McGill, J Rosenman, JM Frahm Medical image analysis 72, 102100, 2021 | 41 | 2021 |
Vplnet: Deep single view normal estimation with vanishing points and lines R Wang, D Geraghty, K Matzen, R Szeliski, JM Frahm Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 40 | 2020 |
Directshape: Direct photometric alignment of shape priors for visual vehicle pose and shape estimation R Wang, N Yang, J Stueckler, D Cremers 2020 IEEE International Conference on Robotics and Automation (ICRA), 11067 …, 2020 | 34 | 2020 |
Skeletal shape correspondence through entropy L Tu, M Styner, J Vicory, S Elhabian, R Wang, J Hong, B Paniagua, ... IEEE transactions on medical imaging 37 (1), 1-11, 2017 | 18 | 2017 |
Artificial intelligence identifies and quantifies colonoscopy blind spots SK McGill, J Rosenman, R Wang, R Ma, JM Frahm, S Pizer Endoscopy 53 (12), 1284-1286, 2021 | 14 | 2021 |
Recurrent neural network for learning densedepth and ego-motion from video R Wang, JM Frahm, SM Pizer arXiv preprint arXiv:1805.06558, 2018 | 14 | 2018 |
Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video SM Pizer, JM Frahm, JG Rosenman, Z Qingyu, R Wang, R Ma, JT Price, ... US Patent 10,733,745, 2020 | 11 | 2020 |
Improving 3d surface reconstruction from endoscopic video via fusion and refined reflectance modeling R Wang, T Price, Q Zhao, JM Frahm, J Rosenman, S Pizer Medical imaging 2017: image processing 10133, 80-86, 2017 | 10 | 2017 |
Tight integration of feature-based relocalization in monocular direct visual odometry M Gladkova, R Wang, N Zeller, D Cremers 2021 IEEE international conference on Robotics and automation (ICRA), 9608-9614, 2021 | 9 | 2021 |
Colon10k: a benchmark for place recognition in colonoscopy R Ma, SK McGill, R Wang, J Rosenman, JM Frahm, Y Zhang, S Pizer 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1279-1283, 2021 | 9 | 2021 |
Learning monocular 3d vehicle detection without 3d bounding box labels L Koestler, N Yang, R Wang, D Cremers Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 9 | 2021 |
Casspr: Cross attention single scan place recognition Y Xia, M Gladkova, R Wang, Q Li, U Stilla, JF Henriques, D Cremers Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
System and method for static and moving object detection G Seetharaman, K Palaniappan, FB Ersoy, R Wang US Patent 9,454,819, 2016 | 7 | 2016 |