78 citations · 187 across the 9 of their papers we have counts for
9 papers
Working memory inspired hierarchical video decomposition with transformative representations
Binjie Qin, Haohao Mao, Ruipeng Zhang +3
Video decomposition is very important to extract moving foreground objects from complex backgrounds in computer vision, machine learning, and medical imaging, e.g., extracting movi…
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography
Binjie Qin, Haohao Mao, Yiming Liu +5
Although robust PCA has been increasingly adopted to extract vessels from X-ray coronary angiography (XCA) images, challenging problems such as inefficient vessel-sparsity modellin…
Sequential vessel segmentation via deep channel attention network
Dongdong Hao, Song Ding, Linwei Qiu +4
This paper develops a novel encoder-decoder deep network architecture which exploits the several contextual frames of 2D+t sequential images in a sliding window centered at current…
Texture variation adaptive image denoising with nonlocal PCA
Wenzhao Zhao, Qiegen Liu, Yisong Lv +1
Image textures, as a kind of local variations, provide important information for human visual system. Many image textures, especially the small-scale or stochastic textures are ric…
Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation
Kunqiang Mei, Bin Hu, Baowei Fei +1
We propose an ultrasound speckle filtering method for not only preserving various edge features but also filtering tissue-dependent complex speckle noises in ultrasound images. The…
Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for Nonrigid Image Registration
Zhuangming Shen, Jiuai Sun, Hui Zhang +1
Joint saliency map (JSM) [1] was developed to assign high joint saliency values to the corresponding saliency structures (called Joint Saliency Structures, JSSs) but zero or low jo…