Putting 3D Spatially Sparse Networks on a Diet

Putting 3D Spatially Sparse Networks on a Diet

2 December 2021

Papers citing "Putting 3D Spatially Sparse Networks on a Diet"

11 / 11 papers shown

Title
Instance-Aware Image Completion Ji-Ho Cho Minguk Kang Vibhav Vineet Jaesik Park ISeg VLM 13 2 0 22 Oct 2022
Sequential Brick Assembly with Efficient Constraint Satisfaction Seokjun Ahn Jungtaek Kim Minsu Cho Jaesik Park 42 4 0 03 Oct 2022
Learning to Register Unbalanced Point Pairs Kanghee Lee Junha Lee Jaesik Park 3DPC 19 7 0 09 Jul 2022
Learning to Assemble Geometric Shapes Jinhwi Lee Jungtaek Kim H. Chung Jaesik Park Minsu Cho 9 4 0 24 May 2022
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective W. Dong Kwonyoung Ryu Michael Kaess Jaesik Park 3DV 30 5 0 06 Dec 2021
PointMixer: MLP-Mixer for Point Cloud Understanding Jaesung Choe Chunghyun Park François Rameau Jaesik Park In So Kweon 3DPC 32 98 0 22 Nov 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 142 154 0 05 Oct 2021
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge Jae Shin Yoon Zhixuan Yu Jaesik Park Hyunjung Park 26 19 0 30 Sep 2021
Deep Hough Voting for Robust Global Registration Junha Lee Seungwook Kim Minsu Cho Jaesik Park 3DPC 31 94 0 09 Sep 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016