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Works68 from public data
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- Swift Parameter-free Attention Network for Efficient Super-Resolution106
The Swift Parameter-free Attention Network (SPAN), a highly efficient SISR model that balances parameter count, inference speed, and image quality, is proposed, showing that it outperforms existing efficient super-resolution models in terms of both image quality and inference speed.
- The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report91
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes, and gauge the state-of-the-art in efficient single-image super-resolution.
- NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results83
This paper reviews the NTIRE 2024 challenge on image super-resolution (×4), highlighting the solutions proposed and the outcomes obtained, and offers a comprehensive overview of current trends in this field.
- Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting83
This paper proposes Regularized Graph Structure Learning (RGSL) model to incorporate both explicit prior structure and implicit structure together, and learn the forecasting deep networks along with the graph structure.
- Cyclic Differentiable Architecture Search62
This work proposes new joint optimization objectives and a novel Cyclic Differentiable ARchiTecture Search framework, dubbed CDARTS, which enables the evolution of the architecture to fit the final evaluation network.
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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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- SliceMamba With Neural Architecture Search for Medical Image Segmentation33
SliceMamba features an efficient Bidirectional Slicing and Scanning (BSS) module, which performs bidirectional feature slicing and employs varied scanning mechanisms for sliced features with distinct shapes, and an Adaptive Slicing Search method that automatically identifies the optimal feature slicing method based on the characteristics of the target data.
- Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach33
This work attempts to build a part-aware 3D pose estimator by searching a set of network architectures so that the model automatically learns to select a suitable architecture to estimate each body part.
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- NTIRE 2025 Challenge on Image Super-Resolution ($\times 4$): Methods and Results23
The NTIRE 2025 image super-resolution ($\times 4$) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025, aims to recover high-resolution images from low-resolution counterparts generated through bicubic downsampling with a $\times 4$ scaling factor.
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- Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey21
The NTIRE 2024 RAW Image Super-Resolution Challenge is reviewed, highlighting the proposed solutions and results, and providing a gauge for the current state-of-the-art in RAW Image Super-Resolution.
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- VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results10
A novel benchmark comprising thousands of coarse-to-fine grained visual quality comparison tasks, spanning single images, pairs, and multi-image groups is introduced, which serves as a catalyst for future research on inter-pretable and human-aligned quality evaluation systems.
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- MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results9
A total of 110 participants from both industrial and academic backgrounds contributed many valuable solutions to address the difficulty of the restoration of HybridEVS’s raw data, thus raising the reconstructed performance to a new height.
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- MIPI 2023 Challenge on RGBW Remosaic: Methods and Results8
This paper summarizes and reviews the RGBW Joint Remosaic and Denoise track on MIPI 2023, and describes the top three models developed in this challenge.
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- Identity-Enhanced Network for Facial Expression Recognition6
A novel identity-enhanced network (IDEnNet) is presented to eliminate the negative impact of identity factor and focus on recognizing facial expressions, and achieves the best or comparable state-of-the-art on all three datasets.
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- MIPI 2023 Challenge on RGBW Fusion: Methods and Results3
This paper summarizes and reviews the RGBW Joint Fusion and Denoise track on MIPI 2023 and describes the models developed in this challenge, including PSNR, SSIM, LPIPS, and KLD.
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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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