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Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos
Unsupervised landmark learning is the task of learning semantic keypoint...
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Video Interpolation and Prediction with Unsupervised Landmarks
Prediction and interpolation for long-range video data involves the comp...
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Unsupervised Video Interpolation Using Cycle Consistency
Learning to synthesize high frame rate videos via interpolation requires...
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Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation
Deep neural networks have largely failed to effectively utilize syntheti...
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Human-like Clustering with Deep Convolutional Neural Networks
Classification and clustering have been studied separately in machine le...
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Flattened Convolutional Neural Networks for Feedforward Acceleration
We present flattened convolutional neural networks that are designed for...
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An Analysis of the Connections Between Layers of Deep Neural Networks
We present an analysis of different techniques for selecting the connect...
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Clustering Learning for Robotic Vision
We present the clustering learning technique applied to multi-layer feed...
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Visual Tracking with Similarity Matching Ratio
This paper presents a novel approach to visual tracking: Similarity Matc...
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