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Space-time-brightness sampling using an adaptive pixel-wise coded exposure
Most conventional digital video cameras face a fundamental trade-off between spatial resolution, temporal resolution and dynamic range …
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Representing a partially observed non-rigid 3D human using eigen-texture and eigen-deformation
Reconstruction of the shape and motion of humans from RGB-D is a challenging problem, receiving much attention in recent years. Recent …
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iParaphrasing: Extracting visually grounded paraphrases via an image
A paraphrase is a restatement of the meaning of a text in other words. Paraphrases have been studied to enhance the performance of many …
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PCA-coded aperture for light field photography
A light field, which is often understood as a set of dense multi-view images, has been utilized in various 2D/3D applications. …
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Complex word identification based on frequency in a learner corpus
We introduce the TMU systems for the Complex Word Identification (CWI) Shared Task 2018. TMU systems use random forest classifiers and …
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Joint optimization for compressive video sensing and reconstruction under hardware constraints
Compressive video sensing is the process of encoding multiple sub-frames into a single frame with controlled sensor exposures and …
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Learning to capture light fields through a coded aperture camera
We propose a learning-based framework for acquiring a light field through a coded aperture camera. Acquiring a light field is a …
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Metric for automatic machine translation evaluation based on universal sentence representations
Sentence representations can capture a wide range of information that cannot be captured by local features based on character or word …
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RUSE: Regressor using sentence embeddings for automatic machine translation evaluation
We introduce the RUSE metric for the WMT18 metrics shared task. Sentence embeddings can capture global information that cannot be …
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Visually grounded paraphrase extraction
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