3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks

5 August 2018

Papers citing "3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks"

5 / 5 papers shown

Title
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles Rui Song Chenwei Liang Hu Cao Zhiran Yan Walter Zimmer Markus Gross Andreas Festag Alois Knoll 36 21 0 12 Feb 2024
Separable Convolutions for Optimizing 3D Stereo Networks Rafia Rahim Faranak Shamsafar A. Zell 3DPC 3DV 29 8 0 23 Aug 2021
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching Faranak Shamsafar Samuel Woerz Rafia Rahim A. Zell 3DV 27 85 0 22 Aug 2021
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices Nilay Shrivastava Astitwa Saxena Yaman Kumar Singla Preeti Kaur Debanjan Mahata R. Shah 19 3 0 10 May 2019
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 186 1,941 0 24 Oct 2016