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- MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing291
A new Transformer variant, named Multi-branch Transformer expanded by Taylor formula (MB-TaylorFormer), which can em-bed coarse to fine features more flexibly at the patch embedding stage and capture long-distance pixel interactions with limited computational cost.
- FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information289
A two-stage Fourier-based LLIE network that outperforms the existing state-of-the-art (SOTA) LLIE methods on four representative datasets while maintaining good model efficiency and compared with a recent Transformer-based SOTA method SNR-Aware, FourLLIE reaches superior performance with only 0.31% parameters.
- MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for Image Restoration277
The proposed model, named the second version of Taylor formula expansion-based Transformer (for short MB-TaylorFormer V2) has the capability to concurrently process coarse-to-fine features, capture long-distance pixel interactions with limited computational cost, and improve the approximation of the Taylor expansion remainder.
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- CAPLA: improved prediction of protein–ligand binding affinity by a deep learning approach based on a cross-attention mechanism94
A new deep learning approach based on the cross-attention mechanism named CAPLA was developed for improved prediction of protein–ligand binding affinity by learning features from sequence-level information of both protein and ligand, indicating that CAPLA is an effective approach for binding affinity prediction.
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- NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results85
This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.
- Compression of Phase-Only Holograms with JPEG Standard and Deep Learning79
Simulation and experimental results reveal that the proposed “JPEG + deep learning” hologram compression scheme can achieve satisfactory reconstruction results for a computer-generated phase-only hologram after compression.
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- NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results54
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results and gauges the state-of-the-art in single image super- resolution.
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- Is QR code an optimal data container in optical encryption systems from an error-correction coding perspective?36
An alternative 2D barcode scheme based on Bose-Chaudhuri-Hocquenghem (BCH) coding is designed, which demonstrates substantially better average channel capacity than QR code in numerical simulated optical cryptosystems.
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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 2026-10-13. 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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