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Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.

Y. Yin, M. Chiou, Z. Liu, H. Shrivastava, R. Shah, and R. Zimmermann. ACM Multimedia, page 1304-1312. ACM, (2019)

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Orientation data correction with georeferenced mobile videos.G. Wang, Y. Yin, B. Seo, R. Zimmermann, and Z. Shen. SIGSPATIAL/GIS, page 390-393. ACM, (2013)A general feature-based map matching framework with trajectory simplification.Y. Yin, R. Shah, and R. Zimmermann. IWGS@SIGSPATIAL, page 7:1-7:10. ACM, (2016)Laplacian Sparse Coding of Scenes for Video Classification.Y. Yin, Z. Liu, Satyam, and R. Zimmermann. ISM, page 499-506. IEEE, (2016)Feature-based Map Matching for Low-Sampling-Rate GPS Trajectories.Y. Yin, R. Shah, G. Wang, and R. Zimmermann. ACM Trans. Spatial Algorithms and Systems, 4 (2): 4:1-4:24 (2018)Learning and Fusing Multimodal Deep Features for Acoustic Scene Categorization.Y. Yin, R. Shah, and R. Zimmermann. ACM Multimedia, page 1892-1900. ACM, (2018)GPS2Vec: Towards Generating Worldwide GPS Embeddings.Y. Yin, Z. Liu, Y. Zhang, S. Wang, R. Shah, and R. Zimmermann. SIGSPATIAL/GIS, page 416-419. ACM, (2019)Motion Prediction via Joint Dependency Modeling in Phase Space.P. Su, Z. Liu, S. Wu, L. Zhu, Y. Yin, and X. Shen. CoRR, (2022)Are You Paying Attention? Detecting Distracted Driving in Real-Time.M. Leekha, M. Goswami, R. Shah, Y. Yin, and R. Zimmermann. BigMM, page 171-180. IEEE, (2019)GrabView: A Scalable Street View System for Images Taken from Different Devices.J. Huang, Y. Yin, R. Zimmermann, S. Hu, Y. Wang, C. Zhao, G. Wang, X. He, X. Huang, S. Zheng and 1 other author(s). BigMM, page 302-304. IEEE, (2019)Content vs. Context: Visual and Geographic Information Use in Video Landmark Retrieval.Y. Yin, B. Seo, and R. Zimmermann. TOMM, 11 (3): 39:1-39:21 (2015)

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Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.

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Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.