activity
20142023
most citedWeighted Mean Curvature

61 citations · 158 across the 16 of their papers we have counts for

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Showing cs.CVShow all

9 papers · 1 filter

cs.CV2023★ 2 cited

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…

cs.CV2023★ 1 cited

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.…

cs.CV2023★ 4 cited

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.…

cs.CV2021★ 2 cited

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…

cs.CV2020

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…

cs.CV2019

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…

cs.CV2019★ 61 cited

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…

cs.CV2018★ 59 cited

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…

cs.CV2014★ 4 cited

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…