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Song Wang 0002
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Publications
- 2023
- [j82]Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang:
A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 58-72 (2023) - 2022
- [c109]Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. AAAI 2022: 2740-2749 - [c100]Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang:
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation? ECCV (27) 2022: 357-373 - [c97]Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Lili Ju, Song Wang:
SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network. ECCV (38) 2022: 603-620 - 2021
- [c92]Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang:
Binaural Audio-Visual Localization. AAAI 2021: 2961-2968 - [c87]Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang:
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation. CVPR 2021: 15769-15778 - [c84]Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju:
Learning Depth from Single Image Using Depth-Aware Convolution and Stereo Knowledge. ICME 2021: 1-6 - [i42]Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang:
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation. CoRR abs/2104.10834 (2021) - [i35]Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. CoRR abs/2112.04665 (2021) - 2020
- [c76]Xinyi Wu, Zhenyao Wu, Jinglin Zhang, Lili Ju, Song Wang:
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM. AAAI 2020: 12410-12417 - 2019
- [c66]Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju:
Semantic Stereo Matching With Pyramid Cost Volumes. ICCV 2019: 7483-7492 - [c65]Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju:
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos. ICCV 2019: 7493-7503 - [c64]Xinyi Wu, Zhenyao Wu, Yujun Zhang, Lili Ju, Song Wang:
Multi-Video Temporal Synchronization by Matching Pose Features of Shared Moving Subjects. ICCV Workshops 2019: 2729-2738 - 2018
- [i18]Jianfeng Zhang, Liezhuo Zhang, Yuankai Teng, Xiaoping Zhang, Song Wang, Lili Ju:
Interactive Binary Image Segmentation with Edge Preservation. CoRR abs/1809.03334 (2018) - 2016
- [j28]Xiaochuan Fan, Lili Ju, Xiaoqiang Wang, Song Wang:
A fuzzy edge-weighted centroidal Voronoi tessellation model for image segmentation. Comput. Math. Appl. 71(11): 2272-2284 (2016) - 2015
- [j25]Youjie Zhou, Lili Ju, Song Wang:
Multiscale Superpixels and Supervoxels Based on Hierarchical Edge-Weighted Centroidal Voronoi Tessellation. IEEE Trans. Image Process. 24(11): 3834-3845 (2015) - [c35]Youjie Zhou, Lili Ju, Song Wang:
Multiscale Superpixels and Supervoxels Based on Hierarchical Edge-Weighted Centroidal Voronoi Tessellation. WACV 2015: 1076-1083 - 2014
- [c33]Youjie Zhou, Lili Ju, Yu Cao, Jarrell W. Waggoner, Yuewei Lin, Jeff P. Simmons, Song Wang:
Edge-Weighted Centroid Voronoi Tessellation with Propagation of Consistency Constraint for 3D Grain Segmentation in Microscopic Superalloy Images. CVPR Workshops 2014: 258-265 - 2013
- [j17]Yu Cao, Lili Ju, Youjie Zhou, Song Wang:
3D Superalloy Grain Segmentation Using a Multichannel Edge-Weighted Centroidal Voronoi Tessellation Algorithm. IEEE Trans. Image Process. 22(10): 4123-4135 (2013) - 2012
- [c20]Yu Cao, Lili Ju, Song Wang:
Grain Segmentation of 3D Superalloy Images Using Multichannel EWCVT under Human Annotation Constraints. ECCV (3) 2012: 244-257 - 2011
- [c18]Yu Cao, Lili Ju, Qin Zou, Chengzhang Qu, Song Wang:
A Multichannel Edge-Weighted Centroidal Voronoi Tessellation algorithm for 3D super-alloy image segmentation. CVPR 2011: 17-24 - 2009
- [c11]Pahal Dalal, Lili Ju, Michael McLaughlin, Xiangrong Zhou, Hiroshi Fujita, Song Wang:
3D open-surface shape correspondence for statistical shape modeling: Identifying topologically consistent landmarks. ICCV 2009: 1857-1864
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