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Fast Multi-frame Stereo Scene Flow with Motion Segmentation (CVPR 2017)
Seeing as Humans Do: Learning from Motion to Segment Anything Without Supervision
Neuromorphic Vision-based Motion Segmentation with GTNN Algorithm (Qualitative Evaluation)
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera
Event-Based Motion Segmentation by Motion Compensation (ICCV'19)
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
Motion Instance Segmentation
Independent Motion Segmentation and Reconstruction
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts (T-NNLS 2021)
Deep Learning of Spatio-Temporal Features - Motion Segmentation
Learning Visual Motion Segmentation Using Event Surfaces
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Last Updated: September 28, 2026
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Summary
EM Driven Unsupervised Learning for Efficient Jae-Hak Kim and Lourdes Agapito, " Anna Vögele, Björn Krüger und Reinhard Klein In proceedings of 2014 ACM SIGGRAPH/Eurographics Symposium on Computer ... A stereo scene flow algorithm presented at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). MoSA follows a three-stage pipeline: (1) Multi-Granularity Paper Title: Neuromorphic Vision-based In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired ... ICRA 2014 Paper Deep Learning of Spatio-Temporal Features with Geometric-based Authors: Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos Description: Event-based cameras have been ...