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SEKD: Self-Evolving Keypoint Detection and Description
Researchers have attempted utilizing deep neural network (DNN) to learn ...
06/09/2020 ∙ by Yafei Song, et al. ∙
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Accelerating Neural Network Inference by Overflow Aware Quantization
The inherent heavy computation of deep neural networks prevents their wi...
05/27/2020 ∙ by Hongwei Xie, et al. ∙
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Single Image Dehazing Using Ranking Convolutional Neural Network
Single image dehazing, which aims to recover the clear image solely from...
01/15/2020 ∙ by Yafei Song, et al. ∙
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Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
In recent years, camera-based localization has been widely used for robo...
08/03/2019 ∙ by Yafei Song, et al. ∙
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Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Large convolutional neural network models have recently demonstrated imp...
04/09/2019 ∙ by Kui Fu, et al. ∙
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2D LiDAR Map Prediction via Estimating Motion Flow with GRU
It is a significant problem to predict the 2D LiDAR map at next moment f...
02/19/2019 ∙ by Yafei Song, et al. ∙
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Complementary Segmentation of Primary Video Objects with Reversible Flows
Segmenting primary objects in a video is an important yet challenging pr...
11/23/2018 ∙ by Jia Li, et al. ∙
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Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification
Many advances of deep learning techniques originate from the efforts of ...
11/02/2018 ∙ by Jia Li, et al. ∙
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