Titlebook: Neural Information Processing; 29th International C Mohammad Tanveer,Sonali Agarwal,Adam Jatowt Conference proceedings 2023 The Editor(s) (

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书目名称Neural Information Processing影响因子(影响力)




书目名称Neural Information Processing影响因子(影响力)学科排名




书目名称Neural Information Processing网络公开度




书目名称Neural Information Processing网络公开度学科排名




书目名称Neural Information Processing被引频次




书目名称Neural Information Processing被引频次学科排名




书目名称Neural Information Processing年度引用




书目名称Neural Information Processing年度引用学科排名




书目名称Neural Information Processing读者反馈




书目名称Neural Information Processing读者反馈学科排名

galley

咯咯笑

Point Cloud Completion with Difference-Aware Point Voting guidance of the geometric commonalities shared by the observed and missing parts. The decoder finally generates the new points that can be taken as the center points for generating missing regions. Quantitative and visual results on PCN and ShapeNet-55 datasets show that our model outperforms the s

inundate

联邦

Local-Global Interaction and Progressive Aggregation for Video Salient Object Detectionaliency branch for elaborate interaction. In addition, PA evolves and aggregates RGB features, OF features and up-sampled features from the higher level, and can refine saliency-related features progressively. The sophisticated designs of interaction and aggregation phases effectively boost the perf

刻苦读书

阉割

: Evading Ownership Detection Against Deep Learning Modelsry model which moves it decision boundary slightly. Our empirical results demonstrate that the adversary model evaded the DI detection with 40 samples. We also lay out the limitations of MEW and discuss them at last.

教义

标准

Combining Traffic Assignment and Traffic Signal Control for Online Traffic Flow Optimizationthe nearby road network. For traffic signal control, the Maximum Throughput Control (MTC) method is adopted. MTC checks the states of the intersections periodically and greedily takes the action that maximum the throughput of the intersections. By combining these two methods, the vehicle-road coordi

轻打

Frequency Spectrum with Multi-head Attention for Face Forgery Detectionrmed our experiments on smaller sets of DFFD dataset and tested on larger sets. The proposed model achieves an accuracy of 99%, having significantly fewer parameters in in-domain settings and thus is computationally less expensive. It is also tested on unseen datasets in cross GANs setting with an a