A5000863637- Remote-Sensing Image Classification
- Automated Road and Building Extraction
- Advanced Image Fusion Techniques
- 3D Surveying and Cultural Heritage
- Neuroblastoma Research and Treatments
- Chromatin Remodeling and Cancer
- Drug Transport and Resistance Mechanisms
- Underwater Vehicles and Communication Systems
- Cancer, Hypoxia, and Metabolism
- Cancer Mechanisms and Therapy
- Cancer, Lipids, and Metabolism
- Underwater Acoustics Research
- Water Quality Monitoring Technologies
- Remote Sensing and Land Use
- Image Enhancement Techniques
- Infrared Target Detection Methodologies
Shenyang Institute of Automation
2023-2024
Chinese Academy of Sciences
2023-2024
Xinxiang Medical University
2020-2024
University of Chinese Academy of Sciences
2023-2024
University Town of Shenzhen
2023
Tsinghua University
2023
Deep learning has contributed to the rapid development of building extraction tasks from remote sensing(RS) images. Existing models typically leverage a segmentation-head predict results, where multi-channel feature maps extracted by network are directly output as single-channel predictions. However, it is rarely noticed that this process results in loss features, which can lead incomplete smaller buildings. Besides, boundary-blurring also common problem task. Therefore, letter, we propose...
Plankton is critical for the structure and function of marine ecosystems. In past three decades, various underwater imaging systems have been developed to collect in-situ plankton images image processing has a major bottleneck that hinders deployment systems. recent years, deep learning methods greatly enhanced our ability images, but high-computational demands longtime consumption still remain problematic. this study, we used knowledge distillation as framework model compression improved...
The rapid development of deep neural networks has attracted significant attention in the infrared and visible image fusion field. However, most existing models have many parameters consume high computational spatial resources. This paper proposes a fast efficient recursive network model to solve this complex problem that few people touched. Specifically, we designed an module combining traditional knowledge prior with channel extract modal-specific features efficiently. We used shared layer...
Astroglioma, one major form of brain tumors, has remained principally tough to handle for decades, due the complexity tumor pathology and poor response chemo- radio-therapies.Our previous study demonstrated that nifurtimox could regulate signaling axis AKT-GSK3β in various types including astroglioma U251 cells. Intriguingly, earlier case studies suggested possibly permeate blood barrier arrest neuroblastoma brain. These observations jointly encouraged us explore whether would hinder growth...