วีดีโอ

Abstract: There has recently been an explosion of research on learning implicit shape representations, which has produced very impressive results for shape reconstruction, synthesis, and rendering using implicit functions represented purely by deep networks. In this talk, I will discuss ways to combine these deep implicit functions with traditional 3D shape representations-specifically using vo...

Abstract: There has recently been an explosion of research on learning implicit shape representations, which has produced very impressive results for shape reconstruction, synthesis, and rendering using implicit functions represented purely by deep networks. In this talk, I will discuss ways to combine these deep implicit functions with traditional 3D shape representations-specifically using vo...

Abstract: Recent spectacular advances in machine learning techniques allow solving complex computer vision tasks-all the way down to vision-based decision making. However, the input image itself is still produced by imaging systems that were built to produce human-intelligible pictures that are not necessarily optimal for the end task. In this talk, I will try to entertain ourselves with the id...

Abstract: There has recently been an explosion of research on learning implicit shape representations, which has produced very impressive results for shape reconstruction, synthesis, and rendering using implicit functions represented purely by deep networks. In this talk, I will discuss ways to combine these deep implicit functions with traditional 3D shape representations-specifically using vo...

Abstract: Recent spectacular advances in machine learning techniques allow solving complex computer vision tasks-all the way down to vision-based decision making. However, the input image itself is still produced by imaging systems that were built to produce human-intelligible pictures that are not necessarily optimal for the end task. In this talk, I will try to entertain ourselves with the id...

Abstract: There has recently been an explosion of research on learning implicit shape representations, which has produced very impressive results for shape reconstruction, synthesis, and rendering using implicit functions represented purely by deep networks. In this talk, I will discuss ways to combine these deep implicit functions with traditional 3D shape representations-specifically using vo...

Abstract: Recent spectacular advances in machine learning techniques allow solving complex computer vision tasks-all the way down to vision-based decision making. However, the input image itself is still produced by imaging systems that were built to produce human-intelligible pictures that are not necessarily optimal for the end task. In this talk, I will try to entertain ourselves with the id...

Full title: SHREC 2021: Retrieval of cultural heritage objects doi.org/10.1016/j.cag.2021.07.010 Presented by Ivan Siprian at 3DOR 2021 workshop - 3dor2021.github.io/

Full title: Snap2CAD: 3D indoor environment reconstruction for AR/VR applications using a smartphone device doi.org/10.1016/j.cag.2021.07.014 Presented by Alessandro Manni at 3DOR 2021 workshop - 3dor2021.github.io/

Full title: SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild Presented by Andrea Giachetti at 3DOR 2021 workshop - 3dor2021.github.io/

Full title: SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties doi.org/10.1016/j.cag.2021.06.010 Presented by Andrea Raffo at 3DOR 2021 workshop - 3dor2021.github.io/

Full title: SHREC 2021: Quantifying shape complexity Presented by Ferhat Arslan at 3DOR 2021 workshop - 3dor2021.github.io/

Full title: SHREC 2021: Classification in cryo-electron tomograms doi.org/10.2312/3dor.20211307 Presented by Ilja Gubins at 3DOR 2021 workshop - 3dor2021.github.io/

Full title: SHREC 2021: 3D point cloud change detection for street scenes doi.org/10.1016/j.cag.2021.07.004 Presented by Tao Ku at 3DOR 2021 workshop - 3dor2021.github.io/

Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing

Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects

‘CADSketchNet’ - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks

A comprehensive survey of LIDAR-based 3D object detection methods with DL for autonomous driving