Volume 39 (2020): Recent submissions

Now showing items 21-40 of 297

    • Coarse to Fine:Weak Feature Boosting Network for Salient Object Detection 

      Zhang, Chenhao; Gao, Shanshan; Pan, Xiao; Wang, Yuting; Zhou, Yuanfeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Salient object detection is to identify objects or regions with maximum visual recognition in an image, which brings significant help and improvement to many computer visual processing tasks. Although lots of methods have ...

    • Learning Target-Adaptive Correlation Filters for Visual Tracking 

      She, Ying; Yi, Yang; Gu, Jialiang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Correlation filters (CF) achieve excellent performance in visual tracking but suffer from undesired boundary effects. A significant amount of approaches focus on enlarging search regions to make up for this shortcoming. ...

    • FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets 

      Fu, Tong; Chaine, Raphaelle; Digne, Julie (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, ...

    • Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering 

      Wang, Min; Qiu, Feng; Liu, Wentao; Qian, Chen; Zhou, Xiaowei; Ma, Lizhuang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Superior human pose and shape reconstruction from monocular images depends on removing the ambiguities caused by occlusions and shape variance. Recent works succeed in regression-based methods which estimate parametric ...

    • PointSkelCNN: Deep Learning-Based 3D Human Skeleton Extraction from Point Clouds 

      Qin, Hongxing; Zhang, Songshan; Liu, Qihuang; Chen, Li; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      A 3D human skeleton plays important roles in human shape reconstruction and human animation. Remarkable advances have been achieved recently in 3D human skeleton estimation from color and depth images via a powerful deep ...

    • Personalized Hand Modeling from Multiple Postures with Multi-View Color Images 

      Wang, Yangang; Rao, Ruting; Zou, Changqing (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Personalized hand models can be utilized to synthesize high quality hand datasets, provide more possible training data for deep learning and improve the accuracy of hand pose estimation. In recent years, parameterized hand ...

    • Human Pose Transfer by Adaptive Hierarchical Deformation 

      Zhang, Jinsong; Liu, Xingzi; Li, Kun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Human pose transfer, as a misaligned image generation task, is very challenging. Existing methods cannot effectively utilize the input information, which often fail to preserve the style and shape of hair and clothes. In ...

    • A Graph-based One-Shot Learning Method for Point Cloud Recognition 

      Fan, Zhaoxin; Liu, Hongyan; He, Jun; Sun, Qi; Du, Xiaoyong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Point cloud based 3D vision tasks, such as 3D object recognition, are critical to many real world applications such as autonomous driving. Many point cloud processing models based on deep learning have been proposed by ...

    • Semi-Supervised 3D Shape Recognition via Multimodal Deep Co-training 

      Song, Mofei; Liu, Yu; Liu, Xiao Fan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D shape recognition has been actively investigated in the field of computer graphics. With the rapid development of deep learning, various deep models have been introduced and achieved remarkable results. Most 3D shape ...

    • SRNet: A 3D Scene Recognition Network using Static Graph and Dense Semantic Fusion 

      Fan, Zhaoxin; Liu, Hongyan; He, Jun; Sun, Qi; Du, Xiaoyong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Point cloud based 3D scene recognition is fundamental to many real world applications such as Simultaneous Localization and Mapping (SLAM). However, most of existing methods do not take full advantage of the contextual ...

    • The Layerizing VoxPoint Annular Convolutional Network for 3D Shape Classification 

      Wang, Tong; Tao, Wenyuan; Own, Chung-Ming; Lou, Xiantuo; Zhao, Yuehua (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Analyzing the geometric and semantic properties of 3D point cloud data via the deep learning networks is still challenging due to the irregularity and sparsity of samplings of their geometric structures. In our study, the ...

    • SRF-Net: Spatial Relationship Feature Network for Tooth Point Cloud Classification 

      Ma, Qian; Wei, Guangshun; Zhou, Yuanfeng; Pan, Xiao; Xin, Shiqing; Wang, Wenping (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D scanned point cloud data of teeth is popular used in digital orthodontics. The classification and semantic labelling for point cloud of each tooth is a key and challenging task for planning dental treatment. Utilizing ...

    • A Bayesian Inference Framework for Procedural Material Parameter Estimation 

      Guo, Yu; Hasan, Milos; Yan, Lingqi; Zhao, Shuang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability. We explore the inverse rendering problem of procedural material parameter estimation ...

    • Procedural Physically based BRDF for Real-Time Rendering of Glints 

      Chermain, Xavier; Sauvage, Basile; Dischler, Jean-Michel; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Physically based rendering of glittering surfaces is a challenging problem in computer graphics. Several methods have proposed off-line solutions, but none is dedicated to high-performance graphics. In this work, we propose ...

    • Computing the Bidirectional Scattering of a Microstructure Using Scalar Diffraction Theory and Path Tracing 

      Falster, Viggo; Jarabo, Adrián; Frisvad, Jeppe Revall (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Most models for bidirectional surface scattering by arbitrary explicitly defined microgeometry are either based on geometric optics and include multiple scattering but no diffraction effects or based on wave optics and ...

    • Two-stage Resampling for Bidirectional Path Tracing with Multiple Light Sub-paths 

      Nabata, Kosuke; Iwasaki, Kei; Dobashi, Yoshinori (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Recent advances in bidirectional path tracing (BPT) reveal that the use of multiple light sub-paths and the resampling of a small number of these can improve the efficiency of BPT. By increasing the number of pre-sampled ...

    • Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation 

      Guo, Jerry Jinfeng; Eisemann, Martin; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Monte-Carlo rendering requires determining the visibility between scene points as the most common and compute intense operation to establish paths between camera and light source. Unfortunately, many tests reveal occlusions ...

    • Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering 

      Xu, Zilin; Sun, Qiang; Wang, Lu; Xu, Yanning; Wang, Beibei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Gradient-domain rendering can highly improve the convergence of light transport simulation using the smoothness in image space. These methods generate image gradients and solve an image reconstruction problem with rendered ...

    • Automatic Band-Limited Approximation of Shaders Using Mean-Variance Statistics in Clamped Domain 

      Li, Shi; Wang, Rui; Huo, Yuchi; Zheng, Wenting; Hua, Wei; Bao, Hujun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In this paper, we present a new shader smoothing method to improve the quality and generality of band-limiting shader programs. Previous work [YB18] treats intermediate values in the program as random variables, and utilizes ...

    • Real Time Multiscale Rendering of Dense Dynamic Stackings 

      Michel, Élie; Boubekeur, Tamy (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dense dynamic aggregates of similar elements are frequent in natural phenomena and challenging to render under full real time constraints. The optimal representation to render them changes drastically depending on the ...