A5102960813- Image Enhancement Techniques
- Advanced Vision and Imaging
- Stock Market Forecasting Methods
- Sentiment Analysis and Opinion Mining
- Vehicle License Plate Recognition
- Biomedical Text Mining and Ontologies
- Orthopedic Surgery and Rehabilitation
- Remote Sensing in Agriculture
- Artificial Intelligence in Healthcare
- Computer Graphics and Visualization Techniques
- Smart Agriculture and AI
- Machine Learning in Healthcare
- Arctic and Antarctic ice dynamics
- Reconstructive Surgery and Microvascular Techniques
- Reconstructive Facial Surgery Techniques
- Zebrafish Biomedical Research Applications
- Organ and Tissue Transplantation Research
- Color Science and Applications
- Elbow and Forearm Trauma Treatment
- Remote Sensing and Land Use
- Tendon Structure and Treatment
- Peripheral Nerve Disorders
- Remote-Sensing Image Classification
- Blockchain Technology Applications and Security
- Healthcare and Venom Research
Northwestern Polytechnical University
2020-2025
Taiyuan University of Technology
2025
Research Center for Eco-Environmental Sciences
2024
Chinese Academy of Sciences
2024
Zhejiang Tongji Vocational College of Science and Technology
2024
Nanjing University of Science and Technology
2024
Shanghai Ninth People's Hospital
2024
Shanghai Jiao Tong University
2024
University of Maryland, Baltimore County
2020-2023
Tongji University
2023
We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover an HDR radiance field from a set of low dynamic range (LDR) views with different exposures. Using the HDR-NeRF, we are able generate both novel and LDR under The key our method is model simplified physical imaging process, which dictates that scene point transforms pixel value in image two implicit functions: tone mapper. encodes (values vary 0 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Cassava is a vital crop for millions of farmers worldwide, but its cultivation threatened by various destructive diseases. Current detection methods cassava diseases are costly, time-consuming, and often limited to controlled environments, making them unsuitable large-scale agricultural use. This study aims develop deep learning framework that enables early, accurate, efficient in real-world conditions. We propose self-supervised object segmentation technique, combined with progressive...
Our work aims to reconstruct the appearance and geometry of two-hand-held object from a sequence color images. In contrast traditional single-hand-held manipulation, two-hand-holding allows more flexible interaction, thereby providing back views object, which is particularly convenient for reconstruction but generates complex view-dependent occlusions. The recent development neural rendering provides new potential hand-held reconstruction. this paper, we propose novel representation-based...
This paper conducts a critical evaluation of the applicability traditional methods and neural network-based in separating pore space from matrix on computed tomography (CT) scanning images two types coral reef limestone specimens with coarse fine pores. By comparing manually labelled "ground truth," it is shown that Otsu method other have good segmentation accuracy high efficiency when subjected to specific image preprocessing schemes, but their robustness poor. UNet networks mixed contrast...
Zebrafish is widely used to understand neural development and model various neurodegenerative diseases. embryos are optically transparent, have a short period, can be kept alive in microplates for days, making them amenable high-throughput microscopic imaging. As result of experiments, large number images generated single experiment, posing challenge researchers analyze efficiently quantitatively. In this work, we develop an image processing focused on detecting quantifying pigments...
In this paper, we design and implement a generic medical knowledge based system (MKBS) for identifying diseases from several symptoms. system, some important aspects like bases representation, inference engine have been addressed. The asks users different questions engines will use the certainty factor to prune out low possible solutions. proposed disease diagnosis also uses graphical user interface (GUI) facilitate interact with expert system. Our is flexible, which can be integrated any...
Complex question answering over knowledge base remains as a challenging task because it involves reasoning multiple pieces of information, including intermediate entities/relations and other constraints. Previous methods simplify the SPARQL query into such forms list or graph, missing constraints "filter" "order_by", present models specialized for generating those simplified from given question. We instead introduce novel approach that directly generates an executable without simplification,...
Recent advances in Neural Radiance Fields (NeRF) have provided a new geometric primitive for novel view synthesis. High Dynamic Range NeRF (HDR NeRF) can render views with higher dynamic range. However, effectively displaying the scene contents of HDR on diverse devices limited range poses significant challenge. To address this, we present LTM-NeRF, method designed to recover and support 3D local tone mapping. LTM-NeRF allows synthesis views, tone-mapped LDR under different exposure...
Primary spinal melanoma (PSM) is rare and usually occurs in the cervical thoracic regions.Here, we present a case of multiple cord located at level upper spine 24-year-old male.The patient underwent T6-T7 laminectomy gross-total resection duty lesion.The histological findings tumor were consistent with an intermediate-grade melanocytoma.To best our knowledge, only two cases multifocal primary melanocytic have been reported literature.In this study review pertinent literature emphasize...
Recent studies in big data analytics and natural language processing develop automatic techniques analyzing sentiment the social media information. In addition, growing user base of high volume posts also provide valuable information to predict price fluctuation cryptocurrency. This research is directed predicting volatile movement cryptocurrency by finding correlation between them. While previous work has been developed analyze English posts, we propose a method identify Chinese from most...
Tea cultivation has a long history in China, and it is one of the pillar industries Chinese agricultural economy.It therefore necessary to map tea gardens for their ongoing management.However, previous studies have relied on fieldwork achieve this task, which time-consuming.In paper, we propose framework using high-resolution remotely sensed imagery, including three scene-based methods: bag-of-visual-words (BOVW) model, supervised latent Dirichlet allocation (sLDA), unsupervised...
Existing design for BOM and its knowledge management are not beneficial to share data or information with different system, it is mainly based on the mode of local service cannot be used distributed application. It all time hard point in designing model that How slow down storage redundant model, takes into account efficiency has been difficulty BOM. Addressing this problem, paper proposes a novel method Management Power Grid Ontology, which can bring many advantages openness, sharing data,...
Breast cancer is the second leading cause of cancer-related death after lung in women. Early detection breast X-ray mammography believed to have effectively reduced mortality rate. However, a relatively high false positive rate and low specificity technology still exist. In this work, computer-aided automatic mammogram analysis system proposed process images automatically discriminate them as either normal or cancerous, consisting three consecutive image processing, feature selection,...
Traditional sentiment construction in finance relies heavily on the dictionary-based approach, with a few exceptions using simple machine learning techniques such as Naive Bayes classifier. While current literature has not yet invoked rapid advancement natural language processing, we construct this research textual-based index well-known pre-trained model BERT developed by Google, especially for three actively trading individual stocks Hong Kong market at same time hot discussion Weibo.com....
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents novel VIDIT dataset used in different proposed solutions final evaluation results over 3 tracks. The first track considered one-to-one relighting; objective was to relight an input photo of a scene with color temperature illuminant orientation (i.e., light source position). goal second estimate settings, namely orientation, from given image. Lastly, third dealt any-to-any relighting,...