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20152021
most citedShadow Removal by a Lightness-Guided Network with Training on Unpaired Data

113 citations · 405 across the 34 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 4 cited

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Yuhang Lu, Kang Zheng, Weijian Li +8

Accurate segmentation of anatomical structures is vital for medical image analysis. The state-of-the-art accuracy is typically achieved by supervised learning methods, where gather…

cs.CV2020★ 16 cited

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

Rabab Abdelfattah, Xiaofeng Wang, Song Wang

Accurate detection and segmentation of transmission towers~(TTs) and power lines~(PLs) from aerial images plays a key role in protecting power-grid security and low-altitude UAV sa…

cs.CV2020★ 7 cited

Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection

Ruijun Gao, Qing Guo, Felix Juefei-Xu +5

Co-salient object detection (CoSOD) has recently achieved significant progress and played a key role in retrieval-related tasks. However, it inevitably poses an entirely new safety…

cs.CV2020★ 1 cited

Learning to Segment Anatomical Structures Accurately from One Exemplar

Yuhang Lu, Weijian Li, Kang Zheng +8

Accurate segmentation of critical anatomical structures is at the core of medical image analysis. The main bottleneck lies in gathering the requisite expert-labeled image annotatio…

cs.CV2020★ 113 cited

Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data

Zhihao Liu, Hui Yin, Yang Mi +2

Shadow removal can significantly improve the image visual quality and has many applications in computer vision. Deep learning methods based on CNNs have become the most effective a…

cs.CV2020

Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition

Zhongguo Li, Fan Lyu, Wei Feng +1

With the development of Augmented Reality (AR), egocentric action recognition (EAR) plays important role in accurately understanding demands from the user. However, EAR is designed…