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Oh, and please register for my You, Tube channel too. I'm thrilled to state that is now an amazing activity book series (every page includes perforated edges so you can quickly tear out and display your art). The very first book is a Sunday Times number one bestseller, the winner of the Sainsbury's Children's Book Award 2020 and was shortlisted for Kid's Illustrated/Non-fiction Book of The Year at the British Book Awards 2021.


The second book, Draw With Rob at Christmas, is likewise a bestseller and was the WHSmith Book of the Month for November 2020. It is readily available to purchase here. Answers Shown Here , Draw With Rob: Develop A Story, the fourth book, Draw With Rob: Monster Insanity, and the fifth book, Draw With Rob: Incredible Animals, are (guess what) bestsellers too, and they are readily available to purchase here and here.


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It's main he's with her! Featuring: Rashawn Nadine Scott.


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Shi Y, Tian Y, Wang Y, Huang T (2017) Sequential deep trajectory descriptor for action recognition with three-stream cnn. IEEE TMMZhang P, Lan C, Xing J, Zeng W, Xue J, Zheng N (2019) View adaptive neural networks for high efficiency skeleton-based human action acknowledgment. PAMILiu Y, Pados DA (2016) Compressed-sensed-domain l 1-pca video surveillance.


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Understanding Based Systems, pp 105590Yang X, Shyu M-L, Yu H-Q, Sun S-M, Yin N-S, Chen W (2018) Integrating image and textual details in humanrobot interactions for children with autism spectrum condition. IEEE TMMKuanar SK, Ranga KB, Chowdhury AS (2015) Multi-view video summarization utilizing bipartite matching constrained optimum-path forest clustering. IEEE TMMLiu M, Liu H, Chen C (2017) Enhanced skeleton visualization for view invariant human action recognition.



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Signal Processing, Wang L, Xiong Y, Wang Z, Qiao Y, Lin D, Tang X, Van Gool L (2016) Temporal sector networks: Towards excellent practices for deep action recognition. In: ECCVSimonyan K, Zisserman A (2014) Two-stream convolutional networks for action acknowledgment in videos. In: NIPSTang Y, Yi T, Lu J, Li P, Zhou J (2018) Deep progressive support finding out for skeleton-based action acknowledgment.


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