A5062214569- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Nanoplatforms for cancer theranostics
- MicroRNA in disease regulation
- HER2/EGFR in Cancer Research
- Smart Grid and Power Systems
- Advanced Algorithms and Applications
- Immune cells in cancer
- Generative Adversarial Networks and Image Synthesis
- Air Quality Monitoring and Forecasting
- Image and Signal Denoising Methods
- Advanced Sensor and Control Systems
- GDF15 and Related Biomarkers
- Vitamin D Research Studies
- Human Pose and Action Recognition
- Indoor and Outdoor Localization Technologies
- Nanoparticle-Based Drug Delivery
- Adenosine and Purinergic Signaling
- Nutrition and Health in Aging
- Fire Detection and Safety Systems
- Immunotherapy and Immune Responses
- Monoclonal and Polyclonal Antibodies Research
- Image Processing Techniques and Applications
- Multimodal Machine Learning Applications
Northwest University
2024-2025
Air Force Medical University
2024-2025
State Grid Corporation of China (China)
2024
University of Science and Technology of China
2022-2023
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus proposed solutions and results. The aim of this is to devise network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, depth RFDN while at least maintaining PSNR 29.00dB DIV2K validation datasets. had 272 registered participants, 35 teams made valid submissions. They gauge state-of-the-art for super-resolution.
Abstract Cancer immunotherapy has demonstrated significant efficacy in various tumors, but its effectiveness treating Hepatocellular Carcinoma (HCC) remains limited. Therefore, there is an urgent need to identify a new target and develop corresponding intervention strategies. Bioinformatics analysis revealed that growth differentiation factor 15 (GDF15) highly expressed HCC closely related poor prognosis of patients. The previous study GDF15 can promote immunosuppression the tumor...
When deploying the Unmanned Aerial Vehicles object detection (UAV-OD) network to complex and unseen real-world scenarios, generalization ability is usually reduced due domain shift. To address this issue, paper proposes a novel frequency disentanglement method improve UAV-OD generalization. Specifically, we first verified that spectrum of different bands in image has effects Based on conclusion, design two learnable filters extract domain-invariant domain-specific spectrum, respectively. The...
Trastuzumab serves as a cornerstone of first-line therapy for HER2-positive (HER2+) breast cancer; however, significant challenge arises due to the emergence resistance within approximately one year commencement treatment, particularly in advanced cases with metastatic disease where its efficacy is limited. Our investigation into tumor tissue from HER2+ cancer patients, employing single-cell sequencing and bioinformatics analysis, has elucidated crucial mechanism underlying reduced...
The rise in sophisticated image forgery techniques, driven by advancements editing and generation, has posed new security challenges. Traditional methods, designed for specific tampering artifacts, struggle with out-of-distribution detection. In this paper, we propose a shift paradigm, placing greater emphasis on the universal characteristics of authentic images, as opposed to solely focusing signals. We introduce an enhancement Masked Autoencoder (MAE), aptly termed Forgery MAE (FMAE). This...
Melanoma is one of the most aggressive skin tumors, and conventional treatment modalities are not effective in treating advanced melanoma.Although immunotherapy an for melanoma, it has disadvantages, such as a poor response rate serious systemic immune-related toxic side effects.The main solution to this problem use biological materials hydrogels reduce these effects amplify immune killing effect against tumor cells.Hydrogels have great advantages local slow-release drug carriers, including...
Recognizing activities with Unmanned Aerial Vehicles (UAVs) is essential for many applications, while existing video recognition methods are mainly designed ground cameras and do not account UAV changing attitudes fast motion. This creates spatial misalignment of small objects between frames, leading to inaccurate visual movement in drone videos. Additionally, camera motion relative the causes movements that visually affect object can result misunderstandings content. To address these...
Video deblurring with event information has attracted considerable attention. To help deblur each frame, existing methods usually compress a specific sequence into feature tensor the same size as corresponding video. However, this strategy neither considers pixel-level spatial brightness changes nor temporal correlation between events at time step, resulting in insufficient use of spatio-temporal information. address issue, we propose new Spatio-Temporal Relation-Attention network (STRA),...
We propose a high resolution beamforming method based on strategy of reweighted compressed sensing. By solving the problem in manner, direction-of-arrival (DOA) estimation result with enhanced and precision can be obtained stably.