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- Journal Article
- A1
- open access
General image fusion for an arbitrary number of inputs using convolutional neural networks
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DMDN : degradation model-based deep network for multi-focus image fusion
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FLOPs-efficient filter pruning via transfer scale for neural network acceleration
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Occlusion handling and multi-modality fusion for efficient pedestrian detection
(2021) -
Weak segmentation supervised deep neural networks for pedestrian detection
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- Conference Paper
- C1
- open access
Deep learning fusion of RGB and depth images for pedestrian detection
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Occlusion-robust detector trained with occluded pedestrians
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- Journal Article
- A1
- open access
An occlusion-robust feature selection framework in Pedestrian detection