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Deep Joint Rain Detection and Removal from a Single Image
In this paper, we address a rain removal problem from a single image, even in the presence of heavy rain and rain streak accumulation. Our core ideas lie in our new rain image model and new deepExpand
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An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Human action recognition is an important task in computer vision. Extracting discriminative spatial and temporal features to model the spatial and temporal evolutions of different actions plays a keyExpand
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  • Open Access
Deep Retinex Decomposition for Low-Light Enhancement
Retinex model is an effective tool for low-light image enhancement. It assumes that observed images can be decomposed into the reflectance and illumination. Most existing Retinex-based methods haveExpand
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  • Open Access
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visuallyExpand
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  • Open Access
Revisiting Batch Normalization For Practical Domain Adaptation
Deep neural networks (DNN) have shown unprecedented success in various computer vision applications such as image classification and object detection. However, it is still a common annoyance duringExpand
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  • Open Access
Demystifying Neural Style Transfer
Neural Style Transfer has recently demonstrated very exciting results which catches eyes in both academia and industry. Despite the amazing results, the principle of neural style transfer, especiallyExpand
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  • Open Access
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding
Despite the fact that many 3D human activity benchmarks being proposed, most existing action datasets focus on the action recognition tasks for the segmented videos. There is a lack of standardExpand
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Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks
Rain streaks, particularly in heavy rain, not only degrade visibility but also make many computer vision algorithms fail to function properly. In this paper, we address this visibility problem byExpand
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Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
Human action recognition from well-segmented 3D skeleton data has been intensively studied and has been attracting an increasing attention. Online action detection goes one step further and is moreExpand
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  • Open Access
Adaptive Batch Normalization for practical domain adaptation
Abstract Deep neural networks (DNN) have shown unprecedented success in various computer vision applications such as image classification and object detection. However, it is still a common annoyanceExpand
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  • Open Access