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06/06/2019
Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach
Rain removal has recently attracted increasing research attention, as it...
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04/15/2019
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
When watching omnidirectional images (ODIs), subjects can access differe...
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02/26/2019
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
The past few years have witnessed great success in applying deep learnin...
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10/09/2018
Understanding and Predicting the Memorability of Natural Scene Images
Memorability measures how easily an image is to be memorized after glanc...
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08/27/2018
What Makes Natural Scene Memorable?
Recent studies on image memorability have shed light on the visual featu...
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07/29/2018
Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model
Omnidirectional video enables spherical stimuli with the 360 × 180^ ∘ vi...
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03/13/2018
Multi-Frame Quality Enhancement for Compressed Video
The past few years have witnessed great success in applying deep learnin...
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10/30/2017
Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach
Panoramic video provides immersive and interactive experience by enablin...
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09/20/2017
Enhancing Quality for HEVC Compressed Videos
The latest High Efficiency Video Coding (HEVC) standard has been increas...
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09/19/2017
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Over the past few years, deep neural networks (DNNs) have exhibited grea...
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09/19/2017