Search Results - "Computers & graphics"

ConvPoint: Continuous convolutions for point cloud processing by Boulch, Alexandre

“…•The framework is a flexible generalization of the neural networks to point cloud.•ConvPoint is flexible and allows the design of various task oriented…”
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Human pose regression by combining indirect part detection and contextual information by Luvizon, Diogo C., Tabia, Hedi, Picard, David

“…•A new human pose regression method from RGB images.•The proposed soft-argmax operation.•Contextual aggregation for refining predictions.•State-of-the-art…”
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A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving by Zamanakos, Georgios, Tsochatzidis, Lazaros, Amanatiadis, Angelos, Pratikakis, Ioannis

“…•A comprehensive survey of LIDAR-based 3D object detection methods with Deep learning for autonomous driving•Presentation of a common operational pipeline that…”
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A survey of visual analytics for Explainable Artificial Intelligence methods by Alicioglu, Gulsum, Sun, Bo

“…Deep learning (DL) models have achieved impressive performance in various domains such as medicine, finance, and autonomous vehicle systems with advances in…”
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SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks by Boulch, Alexandre, Guerry, Joris, Le Saux, Bertrand, Audebert, Nicolas

“…•Scalable method using voxelization to produce smaller and homogeneous point clouds.•Snapshots of the point cloud for 2D, two modalities RGB and geometric…”
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A robot arm digital twin utilising reinforcement learning by Matulis, Marius, Harvey, Carlo

“…•The manuscript investigates a digital twin of a robot arm typical of manufacturing processes.•This explores the virtual construction of the training and…”
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Single-View 3D reconstruction: A Survey of deep learning methods by Fahim, George, Amin, Khalid, Zarif, Sameh

“…•Deep learning really helps in reconstructing 3D shapes from images.•Voxel grids is the most used representation but not the most efficient.•Choice of 3D…”
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Graph neural network-accelerated Lagrangian fluid simulation by Li, Zijie, Farimani, Amir Barati

“…We present a data-driven model for fluid simulation under Lagrangian representation. Our model, Fluid Graph Networks (FGN), uses graphs to represent the fluid…”
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Automatic reconstruction of parametric building models from indoor point clouds by Ochmann, Sebastian, Vock, Richard, Wessel, Raoul, Klein, Reinhard

“…We present an automatic approach for the reconstruction of parametric 3D building models from indoor point clouds. While recently developed methods in this…”
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3DHOP: 3D Heritage Online Presenter by Potenziani, Marco, Callieri, Marco, Dellepiane, Matteo, Corsini, Massimiliano, Ponchio, Federico, Scopigno, Roberto

“…3D Heritage Online Presenter (3DHOP) is a framework for the creation of advanced web-based visual presentations of high-resolution 3D content. 3DHOP has been…”
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A survey of 3D object selection techniques for virtual environments by Argelaguet, Ferran, Andujar, Carlos

“…Computer graphics applications controlled through natural gestures are gaining increasing popularity these days due to recent developments in low-cost tracking…”
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Ensemble of PANORAMA-based convolutional neural networks for 3D model classification and retrieval by Sfikas, Konstantinos, Pratikakis, Ioannis, Theoharis, Theoharis

“…•Augmented PANORAMA representation for 3D meshes.•Ensemble of CNNs for classification and retrieval.•Search and retrieval in large datasets of 3D meshes. A…”
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ARtention: A design space for gaze-adaptive user interfaces in augmented reality by Pfeuffer, Ken, Abdrabou, Yasmeen, Esteves, Augusto, Rivu, Radiah, Abdelrahman, Yomna, Meitner, Stefanie, Saadi, Amr, Alt, Florian

“…•We present a design space that articulates the role of gaze in AR across three factors.•Factor 1: Reality–virtuality continuum transitions between reality and…”
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Gaze-based interaction: A 30 year retrospective by Duchowski, Andrew T.

“…•A survey of gaze-based interaction is given, focusing on 4 parts.•The four parts include diagnostic, active, passive, and expressing applications.•Seminal…”
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Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio by Ferreira, João P., Coutinho, Thiago M., Gomes, Thiago L., Neto, José F., Azevedo, Rafael, Martins, Renato, Nascimento, Erickson R.

“…[Display omitted] •A methodology for conditioned human motion generation.•A novel multimodal dataset that will be available for the community.•Our method shows…”
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Toward real-time 3D object recognition: A lightweight volumetric CNN framework using multitask learning by Zhi, Shuaifeng, Liu, Yongxiang, Li, Xiang, Guo, Yulan

“…•A lightweight volumetric 3D CNN is designed using two different kinds of learning tasks without additional annotations.•The combination of learning tasks…”
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A collaborative virtual reality environment for liver surgery planning by Chheang, Vuthea, Saalfeld, Patrick, Joeres, Fabian, Boedecker, Christian, Huber, Tobias, Huettl, Florentine, Lang, Hauke, Preim, Bernhard, Hansen, Christian

“…•Immersive VR environment for shared or remote collaboration among surgeons in tumor surgery planning on the example of liver surgery.•Virtual resection,…”
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Architectural geometry by Pottmann, Helmut, Eigensatz, Michael, Vaxman, Amir, Wallner, Johannes

“…Around 2005 it became apparent in the geometry processing community that freeform architecture contains many problems of a geometric nature to be solved, and…”
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Notions of optimal transport theory and how to implement them on a computer by Lévy, Bruno, Schwindt, Erica L.

“…•A review of optimal transport theory: a method to define distances between functions.•An explanation of the semi-discrete method to implement it on a…”
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A survey of multisensory VR and AR applications for cultural heritage by Marto, Anabela, Gonçalves, Alexandrino, Melo, Miguel, Bessa, Maximino

“…The use of technology in cultural heritage sites for end-users, like virtual audio-visual reconstructions, has become a common solution to improve the…”
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