Inference, Learning and Attention Mechanisms that Exploit and Preserve
Sparsity in Convolutional Networks

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks

31 January 2018

Mikhail (Misha) Usvyatsov

Jan Dirk Wegner

Konrad Schindler

Papers citing "Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks"

4 / 4 papers shown

Title
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation Mikhail (Misha) Usvyatsov Anastasia Makarova R. Ballester-Ripoll M. Rakhuba Andreas Krause Konrad Schindler 36 5 0 29 May 2021
Indoor Scene Recognition in 3D Shengyu Huang Mikhail (Misha) Usvyatsov Konrad Schindler 3DV 3DPC 30 19 0 28 Feb 2020
Efficient Semantic Scene Completion Network with Spatial Group Convolution Jiahui Zhang Hao Zhao Anbang Yao Yurong Chen Li Zhang Hongen Liao 3DPC 27 115 0 11 Jul 2019
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 202 520 0 21 Sep 2016