7 citations · 10 across the 7 of their papers we have counts for
7 papers
Neural Clothing Tryer: Customized Virtual Try-On via Semantic Enhancement and Controlling Diffusion Model
Zhijing Yang, Weiwei Zhang, Mingliang Yang +5
This work aims to address a novel Customized Virtual Try-ON (Cu-VTON) task, enabling the superimposition of a specified garment onto a model that can be customized in terms of appe…
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
Zhili Lai, Chunmei Qing, Junpeng Tan +2
Utilizing functional near-infrared spectroscopy (fNIRS) signals for emotion recognition is a significant advancement in understanding human emotions. However, due to the lack of ar…
Active Mining Sample Pair Semantics for Image-text Matching
Yongfeng Chena, Jin Liua, Zhijing Yang +2
Recently, commonsense learning has been a hot topic in image-text matching. Although it can describe more graphic correlations, commonsense learning still has some shortcomings: 1)…
Robust Depth Linear Error Decomposition with Double Total Variation and Nuclear Norm for Dynamic MRI Reconstruction
Junpeng Tan, Chunmei Qing, Xiangmin Xu
Compressed Sensing (CS) significantly speeds up Magnetic Resonance Image (MRI) processing and achieves accurate MRI reconstruction from under-sampled k-space data. According to the…
Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation Model
Junpeng Tan, Xin Zhang, Yao Lv +2
Although the use of multiple stacks can handle slice-to-volume motion correction and artifact removal problems, there are still several problems: 1) The slice-to-volume method usua…
Superpoint Transformer for 3D Scene Instance Segmentation
Jiahao Sun, Chunmei Qing, Junpeng Tan +1
Most existing methods realize 3D instance segmentation by extending those models used for 3D object detection or 3D semantic segmentation. However, these non-straightforward method…
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
Junpeng Tan, Yukai Shi, Zhijing Yang +2
Multi-view clustering methods have been a focus in recent years because of their superiority in clustering performance. However, typical traditional multi-view clustering algorithm…