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KnowIT VQA: Answering knowledge-based questions about videos
We propose a novel video understanding task by fusing knowledge-based and video question answering. First, we introduce KnowIT VQA, a …
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3D Image Reconstruction from Multi-focus Microscopic Images
This paper presents a method for reconstructing 3D image from multi-focus microscopic images captured with different focuses. We model …
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5D Light Field Synthesis from a Monocular Video
Commercially available light field cameras have difficulty in capturing 5D (4D + time) light field videos. They can only capture still …
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Action recognition from a single coded image
Cameras are prevalent in society at the present time, for example, surveillance cameras, and smartphones equipped with cameras and …
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BERT representations for video question answering
Visual question answering (VQA) aims at answering questions about the visual content of an image or a video. Currently, most work on …
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IterNet: retinal image segmentation utilizing structural redundancy in vessel networks
Retinal vessel segmentation is of great interest for diagnosis of retinal vascular diseases. To further improve the performance of …
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Joint learning of vessel segmentation and artery/vein classification with post-processing
Retinal imaging serves as a valuable tool for diagnosis of various diseases. However, reading retinal images is a difficult and …
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Public meeting corpus construction and content delivery
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Human shape reconstruction with loose clothes from partially observed data by pose specific deformation
Reconstructing the entire body of moving human in a computer is important for various applications, such as tele-presence, virtual …
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Legal information as a complex network: Improving topic modeling through homophily
Topic modeling is a key component to computational legal science. Network analysis is also very important to further understand the …
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