30 citations · 63 across the 9 of their papers we have counts for
9 papers
StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
Yuhan Wang, Liming Jiang, Chen Change Loy
Unconditional video generation is a challenging task that involves synthesizing high-quality videos that are both coherent and of extended duration. To address this challenge, rese…
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
Zeyu Han, Yuhan Wang, Luping Zhou +5
To obtain high-quality positron emission tomography (PET) scans while reducing radiation exposure to the human body, various approaches have been proposed to reconstruct standard-d…
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang +3
Existing unsupervised low-light image enhancement methods lack enough effectiveness and generalization in practical applications. We suppose this is because of the absence of expli…
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
Haibo Qi, Yuhan Wang, Xinyu Liu
In this paper, a 3D-RegNet-based neural network is proposed for diagnosing the physical condition of patients with coronavirus (Covid-19) infection. In the application of clinical…
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
Yuhan Wang, Xu Chen, Junwei Zhu +7
In this work, we propose a high fidelity face swapping method, called HifiFace, which can well preserve the face shape of the source face and generate photo-realistic results. Unli…
Effective and Sparse Count-Sketch via k-means clustering
Yuhan Wang, Zijian Lei, Liang Lan
Count-sketch is a popular matrix sketching algorithm that can produce a sketch of an input data matrix X in O(nnz(X))time where nnz(X) denotes the number of non-zero entries in X.…
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
Yuge Huang, Yuhan Wang, Ying Tai +5
As an emerging topic in face recognition, designing margin-based loss functions can increase the feature margin between different classes for enhanced discriminability. More recent…
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
Qi Chen, Qi Wu, Rui Tang +3
Home design is a complex task that normally requires architects to finish with their professional skills and tools. It will be fascinating that if one can produce a house plan intu…
Automatic Structural Scene Digitalization
Rui Tang, Yuhan Wang, Darren Cosker +1
In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format. The proposed system app…