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From the 1 of 1.5k papers with an AI index.

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20032026
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2019 · cs.CVShow all

28 papers · 2 filters

cs.CV2019121 cited

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

Xu Qin, Zhilin Wang, Yuanchao Bai +2

In this paper, we propose an end-to-end feature fusion at-tention network (FFA-Net) to directly restore the haze-free image. The FFA-Net architecture consists of three key componen…

cs.CV201928 cited

Morphing and Sampling Network for Dense Point Cloud Completion

Minghua Liu, Lu Sheng, Sheng Yang +2

3D point cloud completion, the task of inferring the complete geometric shape from a partial point cloud, has been attracting attention in the community. For acquiring high-fidelit…

cs.CV2019

Multi-Level Network for High-Speed Multi-Person Pose Estimation

Ying Huang, Jiankai Zhuang, Zengchang Qin

In multi-person pose estimation, the left/right joint type discrimination is always a hard problem because of the similar appearance. Traditionally, we solve this problem by stacki…

cs.CV20191 cited

Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism

Mingda Wu, Di Huang, Yuanfang Guo +1

Recently, Human Attribute Recognition (HAR) has become a hot topic due to its scientific challenges and application potentials, where localizing attributes is a crucial stage but n…

cs.CV201911 cited

Heuristic Black-box Adversarial Attacks on Video Recognition Models

Zhipeng Wei, Jingjing Chen, Xingxing Wei +4

We study the problem of attacking video recognition models in the black-box setting, where the model information is unknown and the adversary can only make queries to detect the pr…

cs.CV2019

FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition

Ying Huang, Bin Sun, Haipeng Kan +2

Human pose estimation has made significant advancement in recent years. However, the existing datasets are limited in their coverage of pose variety. In this paper, we introduce a…