![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
1,420 Result(s)
-
Article
Open AccessUsability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such operations. In this study, we investigate whether detailed v...
-
Article
Open AccessShell stand: Stable thin shell models for 3D fabrication
A thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell models are characterized by having lightweight, hollow stru...
-
Article
Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
-
Article
Open AccessMessage from the Best Paper Award Committee
-
Article
Open AccessShape embedding and retrieval in multi-flow deformation
We propose a unified 3D flow framework for joint learning of shape embedding and deformation for different categories. Our goal is to recover shapes from imperfect point clouds by fitting the best shape templa...
-
Article
Open AccessCF-DAN: Facial-expression recognition based on cross-fusion dual-attention network
Recently, facial-expression recognition (FER) has primarily focused on images in the wild, including factors such as face occlusion and image blurring, rather than laboratory images. Complex field environments...
-
Article
Open AccessFoundation models meet visualizations: Challenges and opportunities
Recent studies have indicated that foundation models, such as BERT and GPT, excel at adapting to various downstream tasks. This adaptability has made them a dominant force in building artificial intelligence (...
-
Article
Open AccessJoint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification
Existing unsupervised person re-identification approaches fail to fully capture the fine-grained features of local regions, which can result in people with similar appearances and different identities being as...
-
Article
Open AccessDepthGAN: GAN-based depth generation from semantic layouts
Existing GAN-based generative methods are typically used for semantic image synthesis. We pose the question of whether GAN-based architectures can generate plausible depth maps and find that existing methods h...
-
Article
Open AccessTemporal vectorized visibility for direct illumination of animated models
Direct illumination rendering is an important technique in computer graphics. Precomputed radiance transfer algorithms can provide high quality rendering results in real time, but they can only support rigid m...
-
Article
Open AccessSuper-resolution reconstruction of single image for latent features
Single-image super-resolution (SISR) typically focuses on restoring various degraded low-resolution (LR) images to a single high-resolution (HR) image. However, during SISR tasks, it is often challenging for m...
-
Article
Open AccessPhysics-based fluid simulation in computer graphics: Survey, research trends, and challenges
Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly improved the generation of complex visual effects and its c...
-
Article
Open AccessAugmented reality presentation system of skeleton image based on biomedical features
Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images, feature extraction and matching method based on the biomedical cha...
-
Article
Open AccessThe geometry of the vergence-accommodation conflict in mixed reality systems
Mixed reality technologies, such as virtual (VR) and augmented (AR) reality, present promising opportunities to advance education and professional training due to their adaptability to diverse contexts. Distor...
-
Article
Open AccessMulti-modal visual tracking: Review and experimental comparison
Visual object tracking has been drawing increasing attention in recent years, as a fundamental task in computer vision. To extend the range of tracking applications, researchers have been introducing informati...
-
Article
Open AccessTemporally consistent video colorization with deep feature propagation and self-regularization learning
Video colorization is a challenging and highly ill-posed problem. Although recent years have witnessed remarkable progress in single image colorization, there is relatively less research effort on video colori...
-
Article
Open AccessMulti-granularity sequence generation for hierarchical image classification
Hierarchical multi-granularity image classification is a challenging task that aims to tag each given image with multiple granularity labels simultaneously. Existing methods tend to overlook that different ima...
-
Article
Open AccessClass-conditional domain adaptation for semantic segmentation
Semantic segmentation is an important sub-task for many applications. However, pixel-level ground-truth labeling is costly, and there is a tendency to overfit to training data, thereby limiting the generalizat...
-
Article
A social robot as your reading companion: exploring the relationships between gaze patterns and knowledge gains
Intelligent tutoring systems have been widely used in educational activities over the past 20 years. With significantly less effort put into writing or reading assistance, the majority of intelligent tutoring ...
-
Article
Open AccessUsing a virtual reality interview simulator to explore factors influencing people’s behavior
Virtual reality interview simulator (VRIS) is an effective and valid tool that uses virtual reality technology to train people’s interview skills. Typically, it offers candidates prone to being very nervous du...