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Claim this profileWorks27 from public data
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- NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results43
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results, and gauge the state of the art of video quality enhancement.
- SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge36
This work proposes a new StereoSR method, named SwinFSR, based on an extension of SwinIR, originally designed for single image restoration, and the frequency domain knowledge obtained by the Fast Fourier Convolution (FFC).
- A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer31
A novel network architecture and a principled data-preprocessing approach that systematically enhances data quality are presented, and the state-of-the-art transformers are incorporated as the backbone in the two-branch framework for an innovative dehazing method.
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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.
- 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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- An Acid-Tolerant Clostridium Sp. Bly-1 Strain with High Biohydrogen Production Rate13
Genomic analysis revealed that the isolated Clostridium sp.
- Gaussian Rate–Distortion–Perception Coding and Entropy-Constrained Scalar Quantization10
This paper investigates the tightness of existing bounds on the quadratic Gaussian distortion-rate-perception functions with limited common randomness and the i.i.d. output constraint, and improves the best-known lower bound by introducing a tunable parameter.
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- Biohydrogen Production from Methane-Derived Biomass of Methanotroph and Microalgae by Clostridium9
The results demonstrate that the co-culture biomass of microalgae and methanotroph has the potential to serve as a feedstock for dark fermentative hydrogen production, highlighting the complexities inherent in achieving efficient and complete methane-to-hydrogen conversion.
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- Brain-oriented Cconvolutional Neural Network Computer Style Recognition of Classical Chinese Poetry4
The authors explored the connectionism in neuroscience, and explained the cognitive word embedding with the convolutional neural network (CNN) to develop a feasible way to recognize the style of classical Chinese poetry with computers.
- ChainStream: An LLM-based Framework for Unified Synthetic Sensing3
This paper proposes to use natural language as the unified interface to process personal data and sense user context, which can effectively ease app development and make the data pipeline more transparent.
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- MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior1
A hybrid MAP-based framework that integrates two complementary components that combine the computational efficiency of linear attention with the refinement abilities of generative models, resulting in improved restoration performance.
- Unsupervised Learning of Multi-Sense Embedding with Matrix Factorization and Sparse Soft Clustering1
A model called MSCvec (Multi-sense Soft Clustering Vector) for word sense disambiguation of polysemy in context is developed and shown that NMF and SFCM design can improve the performance in word similarity and relatedness tasks as well as in text classification tasks of different types of text.
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- Mechanistic insights into the efficient degradation and detoxification of chloramphenicol by Clostridium pasteurianum DSM 525–
The metabolic coordination underlying efficient CAP biodegradation was elucidated and the potential of anaerobic Gram-positive bacteria for the bioremediation of nitroaromatic antibiotics was highlighted.
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- A Distributed Data Collection System for Traffic Images–
A distributed data collection method and system providing a novel referable revolution for traffic images processing system in intelligent traffics and a compressed representation method based on structural relationships selections are proposed.
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 2026-10-15. 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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