A survey on Deep Learning Advances on Different 3D Data Representations

4 August 2018

Eman Ahmed

Alexandre Saint

Abd El Rahman Shabayek

Papers citing "A survey on Deep Learning Advances on Different 3D Data Representations"

20 / 20 papers shown

Title
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress S. Shin Ah-hyeon Jin Soyoung Yoo Sunghee Lee Chang-Gone Kim S. Heo Namwoo Kang 19 11 0 03 Oct 2022
3D Vision with Transformers: A Survey Jean Lahoud Jiale Cao F. Khan Hisham Cholakkal Rao Muhammad Anwer Salman Khan Ming Yang ViT MedIm 27 32 0 08 Aug 2022
Volumetric Disentanglement for 3D Scene Manipulation Sagie Benaim Frederik Warburg Peter Ebert Christensen Serge J. Belongie 23 15 0 06 Jun 2022
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations A. Benfenati A. Marta 45 11 0 17 Dec 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 35 83 0 19 Aug 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 30 286 0 26 Jul 2021
On Self-Contact and Human Pose Lea Müller Ahmed A. A. Osman Siyu Tang C. Huang Michael J. Black 3DH 17 101 0 07 Apr 2021
3D Semantic Scene Completion: a Survey Luis Roldão Raoul de Charette Anne Verroust-Blondet 3DV 19 92 0 12 Mar 2021
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Nikola Zubić Pietro Lió 3DV 17 17 0 05 Mar 2021
Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization Soyoung Yoo Namwoo Kang 14 70 0 28 Oct 2020
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction H. Zunair Aimon Rahman Nabeel Mohammed Joseph Paul Cohen 37 80 0 26 Jul 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations Jiahao Pang Duanshun Li Dong Tian 3DPC 13 40 0 17 Jun 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review Ying Li Lingfei Ma Zilong Zhong Fei Liu Dongpu Cao Jonathan Li M. Chapman 3DPC 30 390 0 20 May 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 32 100 0 19 Feb 2020
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 244 3,236 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 168 1,940 0 24 Oct 2016
Indoor Semantic Segmentation using depth information Camille Couprie C. Farabet Laurent Najman Yann LeCun SSeg MDE 75 473 0 16 Jan 2013