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Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream.

Y. Tang, Y. Wu, P. Zhou, and J. Hu. CoRR, (2022)

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Yawen Gao

Yawen Huang-Wolff

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Nanfang Wu

Jianguang Wu

Other publications of authors with the same name

Adaptive Fuzzy Sliding Mode-Based Steering Control of Agricultural Tracked Robot.J. Jiao, W. Wang, Y. He, Y. Wu, F. Zhang, and L. Gu. FSDM, volume 320 of Frontiers in Artificial Intelligence and Applications, page 243-254. IOS Press, (2019)Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization.G. Xu, Y. Wu, J. Hu, and Y. Shi. CoRR, (2022)Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.Y. Zuo, Y. Wu, Z. Lu, Q. Zhu, K. Huang, D. Zhang, and W. Shao. MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 222-231. Springer, (2022)FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis.Y. Wu, D. Zeng, X. Xu, Y. Shi, and J. Hu. MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 743-753. Springer, (2022)MMFS: A grape disease recognition method based on multi-feature fusion and SVM.Y. Wu, J. Wu, and G. Hu. ICCBDC, page 27-31. ACM, (2020)Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning.Y. Wu, Z. Wang, D. Zeng, Y. Shi, and J. Hu. AAAI, page 2866-2874. AAAI Press, (2023)Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.Y. Wu, Y. Zuo, Q. Zhu, J. Sheng, D. Zhang, and W. Shao. MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 612-621. Springer, (2023)In-memory AES Implementation for Emerging Non-Volatile Main Memory.M. Xie, Y. Wu, Z. Jia, and J. Hu. ISVLSI, page 103. IEEE, (2019)Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis.Y. Wu, D. Zeng, Z. Wang, Y. Sheng, L. Yang, A. James, Y. Shi, and J. Hu. CoRR, (2022)Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper).Y. Wu, Y. Sun, Z. Jia, L. Zhang, Y. Liu, and J. Hu. RSP, page 49-55. IEEE, (2018)

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Disambiguation of "Wu, Yawen"

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Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream.

Please choose a person to relate this publication to

Yawen Gao

Yawen Huang-Wolff

Jinglan Wu

Nanfang Wu

Jianguang Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Yawen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream.

Please choose a person to relate this publication to

Yawen Gao

Yawen Huang-Wolff

Jinglan Wu

Nanfang Wu

Jianguang Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream.