5 Result(s)
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Article
Texture compensation with multi-scale dilated residual blocks for image denoising
Deep convolutional neural networks have achieved great success for image denoising recently. However, increasing the depth of the neural network cannot significantly boost the performance of the algorithms for...
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Chapter and Conference Paper
FSIS: Fast and Seamless Image Stitching of High-Resolution Dunhuang Murals
Digital processing of Dunhuang murals is important for the permanent and real preservation of precious cultural relics information. The image stitching is one of the key and challenge steps to obtain complete ...
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Chapter and Conference Paper
HaGAN: Hierarchical Attentive Adversarial Learning for Task-Oriented Dialogue System
Task-oriented dialogue system is commonly formulated as a reinforcement learning problem. A reward served as a learning objective is offered at the end of the generated dialogue to help optimize the system. A...
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Chapter and Conference Paper
Learning Local Feature Descriptors with Quadruplet Ranking Loss
In this work, we propose a novel deep convolutional neural network (CNN) with quadruplet ranking loss to learn local feature descriptors. The proposed model receives quadruplets of two corresponding patches an...
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Chapter and Conference Paper
A Non-local Method for Robust Noisy Image Completion
The problem of noisy image completion refers to recovering an image from a random subset of its noisy intensities. In this paper, we propose a non-local patch-based algorithm to settle the noisy image completi...
