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20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2019 · cs.CVShow all

8 papers · 2 filters

cs.CV2019★ 12 cited

Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition

Jialin Gao, Tong He, Xi Zhou +1

A collection of approaches based on graph convolutional networks have proven success in skeleton-based action recognition by exploring neighborhood information and dense dependenci…

cs.CV2019★ 13 cited

AdversarialNAS: Adversarial Neural Architecture Search for GANs

Chen Gao, Yunpeng Chen, Si Liu +2

Neural Architecture Search (NAS) that aims to automate the procedure of architecture design has achieved promising results in many computer vision fields. In this paper, we propose…

cs.CV2019★ 8 cited

AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization

Xiao-Yu Zhang, Changsheng Li, Haichao Shi +3

The point process is a solid framework to model sequential data, such as videos, by exploring the underlying relevance. As a challenging problem for high-level video understanding,…

cs.CV2019★ 14 cited

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Wentao Jiang, Si Liu, Chen Gao +4

In this paper, we address the makeup transfer task, which aims to transfer the makeup from a reference image to a source image. Existing methods have achieved promising progress in…

cs.CV2019★ 5 cited

Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning

Xugong Qin, Yu Zhou, Dongbao Yang +1

Detecting curved text in the wild is very challenging. Recently, most state-of-the-art methods are segmentation based and require pixel-level annotations. We propose a novel scheme…

cs.CV2019★ 1 cited

Aesthetic Attributes Assessment of Images

Xin Jin, Le Wu, Geng Zhao +6

Image aesthetic quality assessment has been a relatively hot topic during the last decade. Most recently, comments type assessment (aesthetic captions) has been proposed to describ…

cs.CV2019★ 28 cited

Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency

Jia Li, Kui Fu, Shengwei Zhao +1

The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks (CNNs). However, devices…

cs.CV2019

Ultrafast Video Attention Prediction with Coupled Knowledge Distillation

Kui Fu, Peipei Shi, Yafei Song +3

Large convolutional neural network models have recently demonstrated impressive performance on video attention prediction. Conventionally, these models are with intensive computati…