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Found 5 papers, 2 papers with code
Learning Neural Volumetric Pose Features for Camera Localization
We introduce a novel neural volumetric pose feature, termed PoseMap, designed to enhance camera localization by encapsulating the information between images and the associated camera poses.
Homography Loss for Monocular 3D Object Detection
Monocular 3D object detection is an essential task in autonomous driving.
Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words
Specifically, we first segment the point clouds into parts, and then leverage optimal transport method to match parts and words in an optimized feature space, where each part is represented by aggregating features of all points within it and each word is abstracted by its contextual information.
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
Deep neural networks (DNNs) have a high accuracy on image classification tasks.
Full 3D Reconstruction of Transparent Objects
Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades.
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