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Titlebook: Artificial Intelligence; Second CAAI Internat Lu Fang,Daniel Povey,Ruiping Wang Conference proceedings 2022 The Editor(s) (if applicable) a

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51#
發(fā)表于 2025-3-30 08:44:21 | 只看該作者
52#
發(fā)表于 2025-3-30 12:47:00 | 只看該作者
53#
發(fā)表于 2025-3-30 16:35:13 | 只看該作者
SASD: A Shape-Aware Saliency Object Detection Approach for?RGB-D Imagess Microsoft Kinect, the captured RGB-D images provide users with a higher viewing experience, but also pose a higher challenge to the current saliency detection technology. In this paper, we propose a shape-aware saliency object detection approach SASD, manifesting in two aspects: 1) obtaining high
54#
發(fā)表于 2025-3-30 21:21:32 | 只看該作者
55#
發(fā)表于 2025-3-31 03:43:58 | 只看該作者
CDNeRF: A Multi-modal Feature Guided Neural Radiance Fieldsiew RGB image. Novel view synthesis by neural radiance fields has achieved great improvement with the development of deep learning. However, how to make the method generic across scenes has always been a challenging task. A good idea is to introduce 2D image features as prior knowledge for adaptive
56#
發(fā)表于 2025-3-31 07:43:23 | 只看該作者
57#
發(fā)表于 2025-3-31 09:34:02 | 只看該作者
Attentive Cascaded Pyramid Network for?Online Video Stabilizationlti-scale residual pyramid structure to do coarse to fine stabilization. Experimental results on public benchmarks show that our proposed method can achieve state-of-the-art performance both qualitatively and quantitatively, comparing to both online and offline methods.
58#
發(fā)表于 2025-3-31 14:12:30 | 只看該作者
Amodal Layout Completion in?Complex Outdoor Scenes propose four challenging IoU variants to measure completion performances for different completion conditions. Experiment results show the ALCN achieves state-of-the-art layout completion performances in most cases and improves the layout-to-image generation performance.
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