A5101849889- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Advanced Optical Sensing Technologies
- Impact of AI and Big Data on Business and Society
- Image Enhancement Techniques
- Machine Learning in Healthcare
- Stock Market Forecasting Methods
- Cancer, Hypoxia, and Metabolism
- Optical Imaging and Spectroscopy Techniques
- Parasites and Host Interactions
- Cytokine Signaling Pathways and Interactions
- Mast cells and histamine
- Artificial Intelligence in Healthcare
- Cancer, Lipids, and Metabolism
- Medical Imaging Techniques and Applications
- Chemokine receptors and signaling
- 3D Shape Modeling and Analysis
- Vasculitis and related conditions
- Infrared Target Detection Methodologies
- Macrophage Migration Inhibitory Factor
- Statistical Methods in Epidemiology
- Peroxisome Proliferator-Activated Receptors
- Industrial Vision Systems and Defect Detection
- Robotics and Sensor-Based Localization
- 3D Surveying and Cultural Heritage
Chinese PLA General Hospital
2025
University of California, Irvine
2022-2023
META Health
2022
Covenant Health
2022
University of California System
2020-2021
National Research Institute of Brewing
2018
Reconstructing the shape and spatially varying surface appearances of a physical-world object as well its surrounding illumination based on 2D images (e.g., photographs) has been long-standing problem in computer vision graphics. In this paper, we introduce an accurate highly efficient reconstruction pipeline combining neural physics-based inverse rendering (PBIR). Our firstly leverages SDF to produce high-quality but potentially imperfect shape. Then, material lighting distillation stage...
Abstract At the convergence point of multiple cytokine signals, signal transducer and activator transcription 3 (STAT3) is a highly promising therapeutic target for diabetic nephropathy. Isoquercitrin, natural small‐molecule inhibitor STAT3, may have beneficial effects on nephropathy; however, underlying mechanism remains unclear. Isoquercitrin significantly mitigated renal inflammation fibrosis by inhibiting STAT3 activity in mice with Moreover, direct molecular isoquercitrin, which as...
Mesangial proliferative glomerulonephritis (MsPGN) is the most common pathological type, including IgA nephropathy (IgAN), in which regional immune injury leads to disease progression without targeted treatment approaches. The mechanism of MsPGN unclear. We previously performed single-cell RNA sequencing (scRNA-seq) IgAN and identified that CX3CR1 gene increased kidney. In this study, further scRNA-seq analysis cellchat revealed CX3CL1 expression was mesangial cells monocytes/macrophages,...
Recent work has developed analytic formulae for spherical harmonic (SH) coefficients from uniform polygonal lights, enabling near-field area lights to be included in Precomputed Radiance Transfer (PRT) systems, and offline rendering. However, the method is inefficient since need recomputed at each vertex or shading point, light, even though SH vary smoothly space. The complexity scales linearly with number of making many-light rendering difficult. In this paper, we develop a novel formula...
Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in differentiable fashion but have difficulties handling topology changes. Implicit signed-distance functions, on other hand, offer better support changes much more difficult use physics-based rendering. We introduce new pipeline that uses both implicit and explicit representations. Our technique enjoys benefit by...
The continued advancements of time-of-flight imaging devices have enabled new pipelines with numerous applications. Consequently, several forward rendering techniques capable accurately and efficiently simulating these been introduced. However, general-purpose differentiable that estimate derivatives images are still lacking. In this paper, we introduce a theory time-gated enjoys the generality differentiating respect to arbitrary scene parameters. Our also allows design advanced Monte Carlo...
Glossy objects present a significant challenge for 3D reconstruction from multi-view input images under natural lighting. In this paper, we introduce PBIR-NIE, an inverse rendering framework designed to holistically capture the geometry, material attributes, and surrounding illumination of such objects. We propose novel parallax-aware non-distant environment map as lightweight efficient lighting representation, accurately modeling near-field background scene, which is commonly encountered in...
Reconstructing the shape and spatially varying surface appearances of a physical-world object as well its surrounding illumination based on 2D images (e.g., photographs) has been long-standing problem in computer vision graphics. In this paper, we introduce an accurate highly efficient reconstruction pipeline combining neural physics-based inverse rendering (PBIR). Our firstly leverages SDF to produce high-quality but potentially imperfect shape. Then, material lighting distillation stage...
Objective To screen statistical methods that are suitable for studying risk factors of peritoneal dialysis-related peritonitis so as to provide new ideas clinical research peritonitis. Methods Nine models were selected comparative analysis, including six without time-dependent covariates: logistic regression, Poisson negative binomial COX AG model, and PWP-CP model; three with model. The data obtained from patients end-stage renal disease who started dialysis treatment January 2013...
This text aims to discuss the application value of capital asset pricing model in real life. In this case, stock price performance Exxon Mobil and ConocoPhillips from September 2019 June 2022 was analyzed by calculating expected earnings two stocks comparing value. The outcome turns out that calculated showed a big deviation, which leads conclusion CAPM theoretically can predict stocks. However, be obtained our calculation results, but affect factors, war, national economic conditions, macro...