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- Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis249
An expert system, Weakness Finder, is introduced, which can help manufacturers find their product weakness from Chinese reviews by using aspects based sentiment analysis, and the experimental results demonstrate the good performance of the Weakeness Finder.
- NTIRE 2021 Challenge on Video Super-Resolution36
This paper presents evaluation results from two competition tracks as well as the proposed solutions to the NTIRE 2021 Challenge on Video Super-Resolution, and develops conventional video SR methods focusing on the restoration quality.
- BitHash: An efficient bitwise Locality Sensitive Hashing method with applications25
The classification accuracy of the proposed Bitwise Locality Sensitive method for two applications could approach the state-of-the-art method, while BitHash only requires a significantly smaller storage space.
- AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results24
This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020 and gauges the state-of-the-art for such a demanding task, where fidelity to the ground truth is measured by PSNR and SSIM.
- AIM 2020 Challenge on Video Temporal Super-Resolution22
This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis, and proposes the enhanced quadratic video interpolation method.
- Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection17
This article proposes a novel salient object detection algorithm for RGB-D images using center-dark channel priors that performs favorably against most of the state-of-the-art approaches.
- Underwater Image Enhancement by the Combination of Dehazing and Color Correction13
This work proposes a new underwater image enhancement method, which is composed of two successive vital processings: the dehazing and color correction, and adopt an effective color correction method on the obtained haze-free underwater images.
- Gender recognition from facial images: two or three dimensions?11
With a variety of experiments and evaluations, it can be proved that the Fisher vector encoding method outperforms most state-of-the-art gender recognition methods.
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- Lightweight multi-scale feature fusion with attention guidance for passive non-line-of-sight imaging4
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- Large Scale Sentiment Analysis with Locality Sensitive BitHash2
Experiment on the popular open benchmark dataset shows that, as the hash code length increases, the classification accuracy of the proposed method could approach the state-of-the-art method, while the method only requires a significantly smaller storage space.
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- Attention mutual teaching network for unsupervised domain adaptation person re-identification–
An attention mutual teaching (AMT) network for unsupervised domain adaptation person ReID is proposed, which improves the performance of a model through iterative clustering and retraining and teaches two attention modules to teach each other to reduce clustering noise.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-16. 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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