most citedPolar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022

SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization

Yucheng Hang, Bin Xia, Wenming Yang +1

Image harmonization aims to achieve visual consistency in composite images by adapting a foreground to make it compatible with a background. However, existing methods always only u…

cs.CV20221 cited

Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations

Juan Wang, Bin Xia

This study investigates weakly supervised image segmentation using loose bounding box supervision. It presents a multiple instance learning strategy based on polar transformation t…

cs.IT2022

Age of Information-based Scheduling for Wireless D2D Systems with a Deep Learning Approach

Ling Luo, Zhenyu Liu, Zhiyong Chen +3

Device-to-device (D2D) links scheduling for avoiding excessive interference is critical to the success of wireless D2D communications. Most of the traditional scheduling schemes on…

cs.CV2022

Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution

Bin Xia, Yapeng Tian, Yucheng Hang +3

Reference-based super-resolution (RefSR) has made significant progress in producing realistic textures using an external reference (Ref) image. However, existing RefSR methods obta…

cs.CV20222 cited

Efficient Non-Local Contrastive Attention for Image Super-Resolution

Bin Xia, Yucheng Hang, Yapeng Tian +3

Non-Local Attention (NLA) brings significant improvement for Single Image Super-Resolution (SISR) by leveraging intrinsic feature correlation in natural images. However, NLA gives…