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Weiyue Wang
Weiyue Wang
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Title
Cited by
Cited by
Year
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
5702018
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
5162019
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
5002018
Depth-aware cnn for rgb-d segmentation
W Wang, U Neumann
Proceedings of the European conference on computer vision (ECCV), 135-150, 2018
2942018
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
1962017
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
1502021
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
1422021
3dn: 3d deformation network
W Wang, D Ceylan, R Mech, U Neumann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1322019
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
European Conference on Computer Vision, 426-442, 2022
712022
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
692016
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
682021
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
532014
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
192020
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
192017
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, ...
European conference on computer vision, 555-572, 2022
112022
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
102016
Womd-lidar: Raw sensor dataset benchmark for motion forecasting
K Chen, R Ge, H Qiu, R Ai-Rfou, CR Qi, X Zhou, Z Yang, S Ettinger, P Sun, ...
arXiv preprint arXiv:2304.03834, 2023
62023
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
42015
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
22016
Processing perspective view range images using neural networks
Y Chai, P Sun, J Ngiam, W Wang, V Vasudevan, BJ Caine, X Zhang, ...
US Patent 11,941,875, 2024
12024
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