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Motion Estimation

38 papers with code ยท Computer Vision

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Deep Orientation Uncertainty Learning based on a Bingham Loss

ICLR 2020

Reasoning about uncertain orientations is one of the core problems in many perception tasks such as object pose estimation or motion estimation.

MOTION ESTIMATION POSE ESTIMATION

DeepV2D: Video to Depth with Differentiable Structure from Motion

ICLR 2020

We propose DeepV2D, an end-to-end deep learning architecture for predicting depth from video.

DEPTH ESTIMATION MOTION ESTIMATION

Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods

31 Oct 2019

One of the reasons for the success of convolutional networks is their equivariance/invariance under translations.

MOTION ESTIMATION OBJECT CLASSIFICATION

Image Quality Assessment for Rigid Motion Compensation

9 Oct 2019

Diagnostic stroke imaging with C-arm cone-beam computed tomography (CBCT) enables reduction of time-to-therapy for endovascular procedures.

IMAGE QUALITY ASSESSMENT MOTION COMPENSATION MOTION ESTIMATION

Two Stream Networks for Self-Supervised Ego-Motion Estimation

4 Oct 2019

Learning depth and camera ego-motion from raw unlabeled RGB video streams is seeing exciting progress through self-supervision from strong geometric cues.

DATA AUGMENTATION MOTION ESTIMATION VISUAL ODOMETRY

1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)

3 Oct 2019

This paper proposes a RANSAC-based algorithm for determining the axial rotation angle of an object from a pair of its tomographic projections.

COMPUTED TOMOGRAPHY (CT) MOTION ESTIMATION

Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression

ICCV 2019

A novel algorithm to estimate instance-level future motion in a single image is proposed in this paper.

MOTION ESTIMATION MULTI-OBJECT TRACKING REGRESSION

Learned Video Compression

ICCV 2019

We present a new algorithm for video coding, learned end-to-end for the low-latency mode.

MOTION ESTIMATION OPTICAL FLOW ESTIMATION VIDEO COMPRESSION

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion

ICCV 2019

In this work, we demonstrate the benefit of using geometric information from synthetic images, coupled with scene depth information, to recover the scale in depth and ego-motion estimation from monocular videos.

DEPTH ESTIMATION MOTION ESTIMATION

ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation

ICCV 2019

We present a practical backend for stereo visual SLAM which can simultaneously discover individual rigid bodies and compute their motions in dynamic environments.

MOTION ESTIMATION