61 citations · 158 across the 16 of their papers we have counts for
16 papers
P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
Xujie Kang, Kanglin Liu, Jiang Duan +2
Given a new camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing exp…
TSSR: A Truncated and Signed Square Root Activation Function for Neural Networks
Yuanhao Gong
Activation functions are essential components of neural networks. In this paper, we introduce a new activation function called the Truncated and Signed Square Root (TSSR) function.…
STL: A Signed and Truncated Logarithm Activation Function for Neural Networks
Yuanhao Gong
Activation functions play an essential role in neural networks. They provide the non-linearity for the networks. Therefore, their properties are important for neural networks' accu…
Multilevel Large Language Models for Everyone
Yuanhao Gong
Large language models have made significant progress in the past few years. However, they are either generic {\it or} field specific, splitting the community into different groups.…
One-Sided Box Filter for Edge Preserving Image Smoothing
Yuanhao Gong
Image smoothing is a fundamental task in signal processing. For such task, box filter is well-known. However, box filter can not keep some features of the signal, such as edges, co…
Quarter Laplacian Filter for Edge Aware Image Processing
Yuanhao Gong, Wenming Tang, Lebin Zhou +2
This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is , which is smaller than the su…
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature
Yuanhao Gong, Wenming Tang, Lebin Zhou +2
Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image…
A Residual Solver and Its Unfolding Neural Network for Total Variation Regularized Models
Yuanhao Gong
This paper proposes to solve the Total Variation regularized models by finding the residual between the input and the unknown optimal solution. After analyzing a previous method, w…
Decompose X-ray Images for Bone and Soft Tissue
Yuanhao Gong
Bones are always wrapped by soft tissues. As a result, bones in their X-ray images are obscured and become unclear. In this paper, we tackle this problem and propose a novel task t…
Gaussian Curvature Filter on 3D Meshes
Wenming Tang, Yuanhao Gong, Kanglin Liu +4
Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou, Hongming Luo, Jingxin Liu +5
Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photo-realis…
Side Window Filtering
Hui Yin, Yuanhao Gong, Guoping Qiu
Local windows are routinely used in computer vision and almost without exception the center of the window is aligned with the pixels being processed. We show that this conventional…
HLO: Half-kernel Laplacian Operator for Surface Smoothing
Wei Pan, Xuequan Lu, Yuanhao Gong +4
This paper presents a simple yet effective method for feature-preserving surface smoothing. Through analyzing the differential property of surfaces, we show that the conventional d…
Weighted Mean Curvature
Yuanhao Gong, Orcun Goksel
In image processing tasks, spatial priors are essential for robust computations, regularization, algorithmic design and Bayesian inference. In this paper, we introduce weighted mea…
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray
Jingxin Liu, Bolei Xu, Chi Zheng +7
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain…
Gradient Distribution Priors for Biomedical Image Processing
Yuanhao Gong, Ivo F. Sbalzarini
Ill-posed inverse problems are commonplace in biomedical image processing. Their solution typically requires imposing prior knowledge about the latent ground truth. While this regu…