726 citations · 925 across the 10 of their papers we have counts for
10 papers
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers
AnLan Sun, Zhao Zhang, Meng Lei +3
Breast ultrasound videos contain richer information than ultrasound images, therefore it is more meaningful to develop video models for this diagnosis task. However, the collection…
Advancing Referring Expression Segmentation Beyond Single Image
Yixuan Wu, Zhao Zhang, Xie Chi +2
Referring Expression Segmentation (RES) is a widely explored multi-modal task, which endeavors to segment the pre-existing object within a single image with a given linguistic expr…
Co-Salient Object Detection with Co-Representation Purification
Ziyue Zhu, Zhao Zhang, Zheng Lin +2
Co-salient object detection (Co-SOD) aims at discovering the common objects in a group of relevant images. Mining a co-representation is essential for locating co-salient objects.…
Stereo Image Rain Removal via Dual-View Mutual Attention
Yanyan Wei, Zhao Zhang, Zhongqiu Zhao +3
Stereo images, containing left and right view images with disparity, are utilized in solving low-vision tasks recently, e.g., rain removal and super-resolution. Stereo image restor…
PointScatter: Point Set Representation for Tubular Structure Extraction
Dong Wang, Zhao Zhang, Ziwei Zhao +3
This paper explores the point set representation for tubular structure extraction tasks. Compared with the traditional mask representation, the point set representation enjoys its…
Image Harmonization by Matching Regional References
Ziyue Zhu, Zhao Zhang, Zheng Lin +3
To achieve visual consistency in composite images, recent image harmonization methods typically summarize the appearance pattern of global background and apply it to the global for…
Interactive Style Transfer: All is Your Palette
Zheng Lin, Zhao Zhang, Kang-Rui Zhang +2
Neural style transfer (NST) can create impressive artworks by transferring reference style to content image. Current image-to-image NST methods are short of fine-grained controls,…
Bilateral Attention Network for RGB-D Salient Object Detection
Zhao Zhang, Zheng Lin, Jun Xu +3
Most existing RGB-D salient object detection (SOD) methods focus on the foreground region when utilizing the depth images. However, the background also provides important informati…
Gradient-Induced Co-Saliency Detection
Zhao Zhang, Wenda Jin, Jun Xu +1
Co-saliency detection (Co-SOD) aims to segment the common salient foreground in a group of relevant images. In this paper, inspired by human behavior, we propose a gradient-induced…
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
Deng-Ping Fan, Zheng Lin, Jia-Xing Zhao +5
The use of RGB-D information for salient object detection has been extensively explored in recent years. However, relatively few efforts have been put towards modeling salient obje…