临时抱佛脚
发表于 2025-3-30 11:48:11
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crumble
发表于 2025-3-30 15:38:22
AFN: Attentional Feedback Network Based 3D Terrain Super-Resolution dynamics, computer graphics-based games, entertainment, films, to name a few. With recent advancements in digital technology, these applications demand the presence of high resolution details in the terrain. In this paper, we propose a novel fully convolutional neural network based super-resolution
小平面
发表于 2025-3-30 20:36:16
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Cloudsntation, many works approach these two tasks simultaneously and leverage the benefits of multi-task learning. However, most of them only considered simple strategies such as element-wise feature fusion, which may not lead to mutual promotion. In this work, we build a Bi-Directional Attention module
说笑
发表于 2025-3-30 22:11:26
Anatomy and Geometry Constrained One-Stage Framework for 3D Human Pose Estimationistency have not been well studied. In this work, to fully explore the priors on body structure and view-relationship for 3D human pose estimation, we propose an anatomy and geometry constrained one-stage framework. First of all, we define a kinematic structure model in deep learning framework which
Heart-Rate
发表于 2025-3-31 04:35:16
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初学者
发表于 2025-3-31 05:37:29
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media volume. An image captured in scattering media degrades due to light scattering and attenuation caused by suspended particles. This degradation depends on scene depth; thus it is difficult for MVS to evaluate photometric consistency because the depth is unknown before three-dimensional reconstructio
Digest
发表于 2025-3-31 12:24:51
Homography-Based Egomotion Estimation Using Gravity and SIFT Features gravity vector. Using the information from an IMU, the .-axes of cameras can be aligned with the gravity, reducing their relative orientation to a single DOF (degree of freedom). In this paper, we use the gravity information to derive extremely efficient minimal solvers for homography-based egomoti
COMMA
发表于 2025-3-31 13:32:40
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parasite
发表于 2025-3-31 19:02:43
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Hiatus
发表于 2025-3-31 22:06:24
https://doi.org/10.1007/978-3-030-69525-53d objects; artificial intelligence; biomedical image analysis; computer networks; computer vision; image