Abstract: We present compact and effective deep convolutional neural networks (CNNs) by exploring properties of videos for video deblurring. Motivated by the non-uniform blur property that not all the ...
Abstract: Deep convolutional neural network based video super-resolution (SR) models have achieved significant progress in recent years. Existing deep video SR methods usually impose optical flow to ...
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We present Preacher — an intelligent agent system that automatically transforms scientific papers into video abstracts. Inspired by how humans create video summaries, it adopts a top-down, ...
Video Dense Caption: PPLLaVA can effectively balance the content, state, and motion of both the foreground and background, while maintaining detail and accuracy. Multi-turn dialogue and reasoning: ...
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