activity
20152023
most citedTLIO: Tight Learned Inertial Odometry

225 citations · 634 across the 24 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

cs.RO2017★ 202 cited

Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

Kartik Mohta, Michael Watterson, Yash Mulgaonkar +14

One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little…

cs.CV2017

Multi-Image Semantic Matching by Mining Consistent Features

Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis

This work proposes a multi-image matching method to estimate semantic correspondences across multiple images. In contrast to the previous methods that optimize all pairwise corresp…

cs.CV2017

Learning SO(3) Equivariant Representations with Spherical CNNs

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia +1

We address the problem of 3D rotation equivariance in convolutional neural networks. 3D rotations have been a challenging nuisance in 3D classification tasks requiring higher capac…

cs.CV2017

Polar Transformer Networks

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou +1

Convolutional neural networks (CNNs) are inherently equivariant to translation. Efforts to embed other forms of equivariance have concentrated solely on rotation. We expand the not…

cs.CV2017

Harvesting Multiple Views for Marker-less 3D Human Pose Annotations

Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis +1

Recent advances with Convolutional Networks (ConvNets) have shifted the bottleneck for many computer vision tasks to annotated data collection. In this paper, we present a geometry…

cs.CV2017★ 34 cited

6-DoF Object Pose from Semantic Keypoints

Georgios Pavlakos, Xiaowei Zhou, Aaron Chan +2

This paper presents a novel approach to estimating the continuous six degree of freedom (6-DoF) pose (3D translation and rotation) of an object from a single RGB image. The approac…