Learning Visual Motion Segmentation Using Event Surfaces

Learning Visual Motion Segmentation Using Event Surfaces Information Guide

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Key Details

Event Camera Visual Odometry for Dynamic Motion Tracking of a Legged Robot by Adaptive Time Surface Update

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Developments

Information Motion segmentation using visual and bio-mechanical features Guide

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[IROS 2019] Real-time Robust Visual Odometry via Rigid Motion Segmentation for Dynamic Environments

EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras

Event-based Motion Segmentation with Spatio-Temporal Graph Cuts (T-NNLS 2021)

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

Seeing as Humans Do: Learning from Motion to Segment Anything Without Supervision

Event-Based Motion Segmentation by Motion Compensation (ICCV'19)

0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera

Event-Based Semantic Segmentation, results on EventScape Dataset

Deep Learning of Spatio-Temporal Features - Motion Segmentation

Motion-segmentation for moving camera video using optical flow (010)

RAL-IROS'22 Results: Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Conv...

Deep Dive

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Last Updated: September 28, 2026

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Full Real-time Segmentation Using Appearance, Motion and Geometry Guide

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Summary

Authors: Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos Description: Our work proposes a direct sparse MOTION SEGMENTATION USING VISUAL In the paper, we propose a robust real-time Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras ... Recently, several frameworks for self-supervised ECCV 2026 Paper Presentation Title: Seeing as Humans Do: In contrast to traditional cameras, whose pixels have a common exposure time, This is a video from the results of our network on EventScape dataset EventScape dataset: github.com/uzh-rpg/rpg_ramnet ...

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