Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in
Changing Environments

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Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

18 July 2017

Wolfram Burgard

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Papers citing "Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments"

8 / 8 papers shown

Title
Multimodal Deep Learning for Robust RGB-D Object Recognition Andreas Eitel Jost Tobias Springenberg Luciano Spinello Martin Riedmiller Wolfram Burgard 85 647 0 24 Jul 2015
Fast R-CNN Ross B. Girshick ObjD 315 25,114 0 30 Apr 2015
Taking a Deeper Look at Pedestrians J. Hosang Mohamed Omran Rodrigo Benenson Bernt Schiele 68 350 0 23 Jan 2015
Pedestrian Detection aided by Deep Learning Semantic Tasks Yonglong Tian Ping Luo Xiaogang Wang Xiaoou Tang 74 434 0 29 Nov 2014
Ten Years of Pedestrian Detection, What Have We Learned? Rodrigo Benenson Mohamed Omran J. Hosang Bernt Schiele 93 713 0 16 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 499 43,717 0 17 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and Segmentation Saurabh Gupta Ross B. Girshick Pablo Arbeláez Jitendra Malik ObjD 132 1,561 0 22 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 298 14,717 0 20 Jun 2014

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