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IEEE Transactions on Image Processing ( 2023). Zhigang Tu, Yuanzhong Liu, Yan Zhang, Qizi Mu, and Junsong Yuan. 2023. DTCM: Joint Optimization of Dark Enhancement and Action Recognition in Videos. IEEE Transactions on Image Processing (2023)."},{"key":"e_1_3_2_1_30_1","volume-title":"Attention is all you need. 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan\u00a0 N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. 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