79 citations · 87 across the 8 of their papers we have counts for
8 papers
A one-step generation model with a Single-Layer Transformer: Layer number re-distillation of FreeFlow
Haonan Wei, Linyuan Wang, Nuolin Sun +3
Currently, Flow matching methods aim to compress the iterative generation process of diffusion models into a few or even a single step, with MeanFlow and FreeFlow being representat…
MFI-ResNet: Efficient ResNet Architecture Optimization via MeanFlow Compression and Selective Incubation
Nuolin Sun, Linyuan Wang, Haonan Wei +2
ResNet has achieved tremendous success in computer vision through its residual connection mechanism. ResNet can be viewed as a discretized form of ordinary differential equations (…
Are classical deep neural networks weakly adversarially robust?
Nuolin Sun, Linyuan Wang, Dongyang Li +2
Adversarial attacks have received increasing attention and it has been widely recognized that classical DNNs have weak adversarial robustness. The most commonly used adversarial de…
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
Xinrui Zhang, Ailong Cai, Shaoyu Wang +4
Metal artifacts in computed tomography (CT) imaging pose significant challenges to accurate clinical diagnosis. The presence of high-density metallic implants results in artifacts…
Dual-energy CT Reconstruction from Dual Quarter Scans
Wenkun Zhang, Ningning Liang, Linyuan Wang +7
Compared with conventional single-energy computed tomography (CT), dual-energy CT (DECT) provides better material differentiation but most DECT imaging systems require dual full-an…
Generative Adversarial Network-Based Sinogram Super-Resolution for Computed Tomography Imaging
Chao Tang, Wenkun Zhang, Linyuan Wang +4
Compared with the conventional 1*1 acquisition mode of projection in computed tomography (CT) image reconstruction, the 2*2 acquisition mode improves the collection efficiency of t…
Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network
Hanming Zhang, Liang Li, Kai Qiao +4
Limited angle problem is a challenging issue in x-ray computed tomography (CT) field. Iterative reconstruction methods that utilize the additional prior can suppress artifacts and…
A Fast local Reconstruction algorithm by selective backprojection for Low-Dose in Dental Computed Tomography
Yan Bin, Deng Lin, Han Yu +3
High radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer, which become a major clinical concern. The backprojection-filtration (BPF) algorithm co…