8 papers
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
Heng Yu, Zoltan A. Milacski, Laszlo A. Jeni
Inferring 3D object structures from a single image is an ill-posed task due to depth ambiguity and occlusion. Typical resolutions in the literature include leveraging 2D or 3D grou…
DyLiN: Making Light Field Networks Dynamic
Heng Yu, Joel Julin, Zoltan A. Milacski +2
Light Field Networks, the re-formulations of radiance fields to oriented rays, are magnitudes faster than their coordinate network counterparts, and provide higher fidelity with re…
PLU-Net: Extraction of multi-scale feature fusion
Weihu Song
Deep learning algorithms have achieved remarkable results in medical image segmentation in recent years. These networks are unable to handle with image boundaries and details with…
Patch Network for medical image Segmentation
Weihu Song, Heng Yu, Jianhua Wu
Accurate and fast segmentation of medical images is clinically essential, yet current research methods include convolutional neural networks with fast inference speed but difficult…
Non-pooling Network for medical image segmentation
Weihu Song, Heng Yu
Existing studies tend tofocus onmodel modifications and integration with higher accuracy, which improve performance but also carry huge computational costs, resulting in longer det…
CoNFies: Controllable Neural Face Avatars
Heng Yu, Koichiro Niinuma, Laszlo A. Jeni
Neural Radiance Fields (NeRF) are compelling techniques for modeling dynamic 3D scenes from 2D image collections. These volumetric representations would be well suited for synthesi…
GPU-Net: Lightweight U-Net with more diverse features
Heng Yu, Di Fan, Weihu Song
Image segmentation is an important task in the medical image field and many convolutional neural networks (CNNs) based methods have been proposed, among which U-Net and its variant…
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Ruxin Ding, Jianfeng Ren, Heng Yu +1
Spatial-temporal local binary pattern (STLBP) has been widely used in dynamic texture recognition. STLBP often encounters the high-dimension problem as its dimension increases expo…