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- Interfacial Microenvironment Modulation Boosting Electron Transfer between Metal Nanoparticles and MOFs for Enhanced Photocatalysis279
Systemic investigations suggest that the PVP presents a negative influence on the interfacial electron transfer between Pt and the MOF, and the removal of interfacial PVP effectively improves the sluggish kinetics of electron transfer, accordingly boosting the photocatalytic hydrogen production.
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- Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting196
This work proposes a novel lane detection method, whereby each lane has two boundaries, and demonstrates the outstanding performance of the method on the challenging dataset of road images compared with state-of-the-art lane-detection methods.
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- Person Re-Identification with Correspondence Structure Learning175
A boosting-based approach to learn a correspondence structure which indicates the patch-wise matching probabilities between images from a target camera pair is introduced, which integrates a global matching constraint over the learned correspondence structure to exclude cross-view misalignments during the image patch matching process, hence achieving a more reliable matching score between images.
- A cloud image detection method based on SVM vector machine157
A cloud image detection method based on SVM vector machine to remove thick cloud data to reduce the amount of data to improve the efficiency of the data.
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- Adaptive Exploration for Unsupervised Person Re-identification150
An Adaptive Exploration (AE) method to address the domain-shift problem for re-ID in an unsupervised manner and integrates a balance strategy into the adaptive selection.
- MDSSD: multi-scale deconvolutional single shot detector for small objects145
A Multi-scale Deconvolutional Single Shot Detector (MDSSD), especially for small object detection, which achieves state-of-the-art results for general object detection on PASCAL VOC2007 test and MS COCO test-dev2015, especially achieving 2 to 5 points improvement on small object categories.
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- Crowd Behavior Simulation With Emotional Contagion in Unexpected Multihazard Situations122
This paper proposes a novel crowd simulation method by modeling the generation and contagion of panic emotion under multihazard circumstances, and introduces an emotional reciprocal velocity obstacles (RVOs) model to simulate the crowd behaviors by augmenting the traditional RVO model with emotional contagion.
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- High quality multi-spectral and panchromatic image fusion technologies based on Curvelet transform117
Based on the experiments on proposed algorithms, the comparison used the five image fusion evaluation standard is given and the synthetic image, image information entropy, relatively non dimensional global error (ERGAS) and universal image quality index UIQI all better than other images in three bands, and the average gradient is optimal in two bands.
- Propane oxidative dehydrogenation over highly selective hexagonal boron nitride catalysts: The role of oxidative coupling of methyl113
In this work, it is reported that the reaction pathways over the h-BN catalyst are different from the V-based catalysts in ODHP, and sheds light on the selective oxidation of alkanes such as direct upgrading of methane via oxidative upgrading to ethylene or CHxOy on boron- based catalysts.
- Trear: Transformer-Based RGB-D Egocentric Action Recognition107
A transformer-based RGB-D egocentric action recognition framework that adopts a self-attention mechanism to model the temporal structure of the data from different modalities and outperforms the state-of-the-art results by a large margin.
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- Margin & diversity based ordering ensemble pruning97
This research proves that the ensemble pruning method should focus more on the following two factors: example margin and ensemble diversity, and proposes a novel metric called the margin & diversity based measure (MDM) to explicitly evaluate the importance of individual classifiers.
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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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