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- The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report39
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution, emphasizing groundbreaking advancements in state-of-the-art single-image ESR techniques.
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- SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation35
A Semantic Guided Interactive Network (SGINet), which considers the sufficient interaction between SID and semantic segmentation using a three-stage deraining manner, i.e., coarse deraining, semantic information extraction, and semantics guided deraining.
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- FPGA Implementation of Digital Filters Synthesized Using the FRM Technique25
Some useful techniques for reducing the data transfer between the field programmable gate array (FPGA) and external memory when the random logic is implemented using the FPGA and the delay elements are implemented using an external memory such as dynamic random access memory.
- Improved Object Detection Algorithm of YOLOv3 Remote Sensing Image22
The feature extraction network DarkNet53 is strengthened to improve the ability of feature extraction and the original Leaky ReLU activation function is replaced by the Mish activation function, thus improving the generalization of the method in this paper.
- MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results18
The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal and a detailed description of all models developed is provided in this paper.
- Deep Multi-Resolution Mutual Learning for Image Inpainting17
This paper designs a new image inpainting network, termed multi-resolution mutual network (MRM-Net), which takes the damaged images of different resolutions as input, then excavates and exploits the correlation among different resolutions to guide the image inPainting process.
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- GCM-Net: Towards Effective Global Context Modeling for Image Inpainting16
A new image inpainting method termed Global Context Modeling Network (GCM-Net), which can potentially improve the performance of recovering the missing region in the damaged images with irregular masks by capturing the global contextual information.
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- FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement13
This paper presents a novel full-resolution representation strategy to replace all feature scaling operations, which can prevent the information degradation by making the intermediary features keep the original resolution.
- Brillouin Frequency Shift Extraction Based on AdaBoost Algorithm13
Results show that the performance of BFS extraction decreases with the decrease in SNR, the reduction in frequency range, and the increase in frequency step.
- Learning Deep Non-blind Image Deconvolution Without Ground Truths13
An unsupervised deep learning approach for NBID which avoids accessing GT images is proposed and provides very competitive performance to existing supervised learning-based methods, no matter under accurate kernels or erroneous kernels.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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