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Acquiring dynamic light fields through coded aperture camera
We investigate the problem of compressive acquisition of a dynamic light field. A promising solution for compressive light field …
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Demographic influences on contemporary art with unsupervised style embeddings
Computational art analysis has, through its reliance on classification tasks, prioritised historical datasets in which the artworks are …
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Knowledge-based video question answering with unsupervised scene descriptions
To understand movies, humans constantly reason over the dialogues and actions shown in specific scenes and relate them to the overall …
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YOLO in the Dark - Domain adaptation method for merging multiple models -
Generating models to handle new visual tasks requires additional datasets, which take considerable effort to create. We propose a …
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Nerve segmentation with deep learning from label-free endoscopic images obtained using coherent anti-stokes Raman scattering
Semantic segmentation with deep learning to extract nerves from label-free endoscopic images obtained using coherent anti-Stokes Raman …
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Constructing a public meeting corpus
In this paper, we propose a method for constructing a large corpus about a century of public meetings in historical Australian …
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Yoga-82: a new dataset for fine-grained classification of human poses
Human pose estimation is a well-known problem in computer vision to locate joint positions. Existing datasets for the learning of poses …
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Detecting learner drowsiness based on facial expressions and head movements in online courses
Drowsiness is a major factor that hinders learning. To improve learning efficiency, it is important to understand students’ …
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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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