C2SPoint: A classification-to-saliency network for point cloud saliency detection

[1]  Peng Gao,et al.  PointCLIP: Point Cloud Understanding by CLIP , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Zhiwei Xiong,et al.  Attribute Artifacts Removal for Geometry-Based Point Cloud Compression , 2021, IEEE Transactions on Image Processing.

[3]  Chunying Wang,et al.  An improved spatial point cloud simplification algorithm , 2021, Neural Computing and Applications.

[4]  Ziyu Zhang,et al.  Learning directly from synthetic point clouds for "in-the-wild" 3D face recognition , 2021, Pattern Recognit..

[5]  Chenlei Lv,et al.  Approximate Intrinsic Voxel Structure for Point Cloud Simplification , 2021, IEEE Transactions on Image Processing.

[6]  Shijian Lu,et al.  Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation , 2021, AAAI.

[7]  Jean-Emmanuel Deschaud,et al.  3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning , 2021, 2021 International Conference on 3D Vision (3DV).

[8]  Yonghuai Liu,et al.  Mesh Saliency via Weakly Supervised Classification-for-Saliency CNN , 2021, IEEE Transactions on Visualization and Computer Graphics.

[9]  Jitendra Malik,et al.  Shape and Viewpoint without Keypoints , 2020, ECCV.

[10]  K. Uthra Devi,et al.  Brain tumour classification using saliency driven nonlinear diffusion and deep learning with convolutional neural networks (CNN) , 2020, Journal of Ambient Intelligence and Humanized Computing.

[11]  Mohammed Bennamoun,et al.  Deep Learning for 3D Point Clouds: A Survey , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Weisi Lin,et al.  Point Cloud Saliency Detection by Local and Global Feature Fusion , 2019, IEEE Transactions on Image Processing.

[13]  Marc Alexa,et al.  Tracking the gaze on objects in 3D , 2018, ACM Trans. Graph..

[14]  Fei Wang,et al.  Point-wise saliency detection on 3D point clouds via covariance descriptors , 2018, The Visual Computer.

[15]  Mohamed-Chaker Larabi,et al.  Visual Attention for Rendered 3D Shapes , 2018, Comput. Graph. Forum.

[16]  Weifeng Liu,et al.  Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds , 2018, Machine Vision and Applications.

[17]  Leonidas J. Guibas,et al.  PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.

[18]  Ayellet Tal,et al.  Surface regions of interest for viewpoint selection , 2016, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[19]  Neil A. Dodgson,et al.  Quantitative analysis of saliency models , 2016, SIGGRAPH Asia Technical Briefs.

[20]  Ligang Liu,et al.  Mesh saliency via ranking unsalient patches in a descriptor space , 2015, Comput. Graph..

[21]  Jianxiong Xiao,et al.  3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[22]  Bingbing Ni,et al.  Touch Saliency: Characteristics and Prediction , 2014, IEEE Transactions on Multimedia.

[23]  Ligang Liu,et al.  Mesh saliency with global rarity , 2013, Graph. Model..

[24]  Thomas A. Funkhouser,et al.  Schelling points on 3D surface meshes , 2012, ACM Trans. Graph..

[25]  Indriyati Atmosukarto,et al.  A salient-point signature for 3d object retrieval , 2008, MIR '08.

[26]  Julie C. Mitchell.  Sampling Rotation Groups by Successive Orthogonal Images , 2007, SIAM J. Sci. Comput..

[27]  David W. Jacobs,et al.  Mesh saliency , 2005, ACM Trans. Graph..

[28]  N. Kanwisher,et al.  PSYCHOLOGICAL SCIENCE Research Article Visual Recognition As Soon as You Know It Is There, You Know What It Is , 2022 .

[29]  S. Treue.  Visual attention: the where, what, how and why of saliency , 2003, Current Opinion in Neurobiology.

[30]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[31]  Ligang Liu,et al.  Detecting 3D Points of Interest Using Projective Neural Networks , 2022, IEEE Transactions on Multimedia.

[32]  Henrik I. Christensen,et al.  Computational visual attention systems and their cognitive foundations: A survey , 2010, TAP.

[33]  T. Poggio,et al.  Predicting the visual world: silence is golden , 1999, Nature Neuroscience.