Sgpn: Similarity group proposal network for 3d point cloud instance segmentation W Wang, R Yu, Q Huang, U Neumann Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 488 | 2018 |
Recurrent slice networks for 3d segmentation of point clouds Q Huang, W Wang, U Neumann Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 423 | 2018 |
Disn: Deep implicit surface network for high-quality single-view 3d reconstruction Q Xu, W Wang, D Ceylan, R Mech, U Neumann Advances in neural information processing systems 32, 2019 | 386 | 2019 |
Depth-aware cnn for rgb-d segmentation W Wang, U Neumann Proceedings of the European Conference on Computer Vision (ECCV), 135-150, 2018 | 235 | 2018 |
Shape inpainting using 3d generative adversarial network and recurrent convolutional networks W Wang, Q Huang, S You, C Yang, U Neumann Proceedings of the IEEE international conference on computer vision, 2298-2306, 2017 | 167 | 2017 |
3dn: 3d deformation network W Wang, D Ceylan, R Mech, U Neumann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
Rsn: Range sparse net for efficient, accurate lidar 3d object detection P Sun, W Wang, Y Chai, G Elsayed, A Bewley, X Zhang, C Sminchisescu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 97 | 2021 |
Spg: Unsupervised domain adaptation for 3d object detection via semantic point generation Q Xu, Y Zhou, W Wang, CR Qi, D Anguelov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 90 | 2021 |
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes W Lin, Y Mi, W Wang, J Wu, J Wang, T Mei IEEE Transactions on Image Processing 25 (4), 1674-1687, 2016 | 63 | 2016 |
Finding coherent motions and semantic regions in crowd scenes: A diffusion and clustering approach W Wang, W Lin, Y Chen, J Wu, J Wang, B Sheng Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 51 | 2014 |
To the point: Efficient 3d object detection in the range image with graph convolution kernels Y Chai, P Sun, J Ngiam, W Wang, B Caine, V Vasudevan, X Zhang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 38 | 2021 |
Swformer: Sparse window transformer for 3d object detection in point clouds P Sun, M Tan, W Wang, C Liu, F Xia, Z Leng, D Anguelov Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 19 | 2022 |
Self-paced cross-modality transfer learning for efficient road segmentation W Wang, N Wang, X Wu, S You, U Neumann 2017 IEEE International Conference on Robotics and Automation (ICRA), 1394-1401, 2017 | 19 | 2017 |
Stochastic dynamics for video infilling Q Xu, H Zhang, W Wang, P Belhumeur, U Neumann Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 13 | 2020 |
Scene labeling using gated recurrent units with explicit long range conditioning Q Huang, W Wang, K Zhou, S You, U Neumann arXiv preprint arXiv:1611.07485, 2016 | 10 | 2016 |
Extracting recurrent motion flows from crowded scene videos: A coherent motion-based approach Y Mi, L Liu, W Lin, W Wang 2015 IEEE International Conference on Multimedia Big Data, 371-376, 2015 | 4 | 2015 |
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Z Leng, S Cheng, B Caine, W Wang, X Zhang, J Shlens, M Tan, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
Scene labeling using recurrent neural networks with explicit long range contextual dependency Q Huang, W Wang, K Zhou, S You, U Neumann arXiv preprint arXiv:1611.07485, 2016 | 2 | 2016 |
Multi-Class 3D Object Detection with Single-Class Supervision M Ye, C Liu, M Yao, W Wang, Z Leng, CR Qi, D Anguelov 2022 International Conference on Robotics and Automation (ICRA), 5123-5130, 2022 | 1 | 2022 |
Efficient three-dimensional object detection from point clouds P Sun, W Wang, Y Chai, X Zhang, D Anguelov US Patent App. 17/527,653, 2022 | 1 | 2022 |