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Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Yijie Pan,Jiayang Guo Conference proceedin

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樓主: Filament
31#
發(fā)表于 2025-3-27 00:12:52 | 只看該作者
MPRNet: Multi-scale Pointwise Regression Network for Crowd Counting and Localizationi-scale feature extractor (MFE) and a feature fusion algorithm of regional maximum substitution (RMS) to enhance feature extraction and fusion capabilities. Additionally, we employ the Hungarian algorithm for one-to-one matching of predicted and ground truth points, ensuring high quality location in
32#
發(fā)表于 2025-3-27 04:20:43 | 只看該作者
Text-to-Image Generation with Multiscale Semantic Context-Aware Generative Adversarial Networkscess, encompassing global to detailed aspects. Furthermore, the CrossBlock Context Aware Encoding (CCAE) module explicitly establishes semantic context across different synthesis blocks during the local feature delivery. Finally, MSCA-GAN introduces an additional CLIP guidance term to verify the sem
33#
發(fā)表于 2025-3-27 07:15:44 | 只看該作者
CHMF: Colorful Human Reconstruction Based on Mesh Featuress in terms of color but also eliminates color errors caused by limb occlusion due to human movement, a limitation in existing methods. We evaluate our method on the Thuman2.0 dataset, and extensive experiments have shown that our approach outperforms previous methods both qualitatively and quantitat
34#
發(fā)表于 2025-3-27 09:32:05 | 只看該作者
Face Swapping via Reverse Contrastive Learning and Explicit Identity-Attribute Disentanglementa fixed feature extractor and training the generator to produce samples with a more uniform distribution of identity. In both our own framework and that of others, it can provide stronger constraints. Meanwhile, we design an Explicit Decoupling Network (EDN) along with its corresponding guiding func
35#
發(fā)表于 2025-3-27 17:06:12 | 只看該作者
36#
發(fā)表于 2025-3-27 20:32:56 | 只看該作者
Generating Graph-Based Rules for Enhancing Logical Reasoningh reasoning, significantly improves inference capabilities and showcases the potential of graph-based rules in inductive KGC. To demonstrate the effectiveness of the GRELR framework, we conduct experiments on three benchmark datasets, and our approach achieves state-of-the-art performance.
37#
發(fā)表于 2025-3-27 23:45:53 | 只看該作者
Conference proceedings 2024ons. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology...?.
38#
發(fā)表于 2025-3-28 03:44:30 | 只看該作者
Conference proceedings 2024 refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on the theories
39#
發(fā)表于 2025-3-28 08:49:20 | 只看該作者
0302-9743 4882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on th
40#
發(fā)表于 2025-3-28 13:45:32 | 只看該作者
Multi-gait Synthesis Based on Convolutional Neural Networks on our lab’s self-collected multi-person gait dataset have shown that our model can generate satisfactory multi-person gait sequences. Furthermore, testing the generated gait images with the GaitSet model for gait recognition demonstrates that the image quality produced by our model is acceptable.
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