Media Summary: Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras ... In contrast to traditional cameras, whose pixels have a common exposure time, In this keynote held at the 2024 International Conference on Computational Photography, Prof. Davide Scaramuzza from the ...

Event Based Motion Segmentation With - Detailed Analysis & Overview

Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras ... In contrast to traditional cameras, whose pixels have a common exposure time, In this keynote held at the 2024 International Conference on Computational Photography, Prof. Davide Scaramuzza from the ... Rapid and reliable identification of dynamic scene parts, also known as Authors: Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos Description: Authors: Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy Ren, Jiancheng Lv, Yebin Liu Description: Recovering sharp video ...

Preliminary image deblurring results on high-speed scene, obtained combining Prophesee Metavision® sensor and algorithms ...

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Event-based Motion Segmentation with Spatio-Temporal Graph Cuts (T-NNLS 2021)
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
Event-Based Motion Segmentation by Motion Compensation (ICCV'19)
Event Cameras: a New Way of Sensing - Davide Scaramuzza - ICCP 2024 Keynote
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes
Learning Visual Motion Segmentation Using Event Surfaces
Motion Segmentation and Tracking for Integrating Event Cameras
Motion and Structure from Event-based Normal Flow (ECCV 2024)
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
"3D Motion Analysis with Event-based Sensors" Prof. Cornelia Fermüller (ICPRAM 2021)
Neuromorphic Vision-based Motion Segmentation with GTNN Algorithm (Qualitative Evaluation)
Learning Event-Based Motion Deblurring
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Event-based Motion Segmentation with Spatio-Temporal Graph Cuts (T-NNLS 2021)

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

Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras ...

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

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

We present the first

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

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

In contrast to traditional cameras, whose pixels have a common exposure time,

Event Cameras: a New Way of Sensing - Davide Scaramuzza - ICCP 2024 Keynote

Event Cameras: a New Way of Sensing - Davide Scaramuzza - ICCP 2024 Keynote

In this keynote held at the 2024 International Conference on Computational Photography, Prof. Davide Scaramuzza from the ...

Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes

Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes

Rapid and reliable identification of dynamic scene parts, also known as

Learning Visual Motion Segmentation Using Event Surfaces

Learning Visual Motion Segmentation Using Event Surfaces

Authors: Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos Description:

Motion Segmentation and Tracking for Integrating Event Cameras

Motion Segmentation and Tracking for Integrating Event Cameras

ACM MMSys 2021 talks.

Motion and Structure from Event-based Normal Flow (ECCV 2024)

Motion and Structure from Event-based Normal Flow (ECCV 2024)

Recovering the camera

Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network

Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network

Paper Title: Neuromorphic Vision-

"3D Motion Analysis with Event-based Sensors" Prof. Cornelia Fermüller (ICPRAM 2021)

"3D Motion Analysis with Event-based Sensors" Prof. Cornelia Fermüller (ICPRAM 2021)

Keynote Title: 3D

Neuromorphic Vision-based Motion Segmentation with GTNN Algorithm (Qualitative Evaluation)

Neuromorphic Vision-based Motion Segmentation with GTNN Algorithm (Qualitative Evaluation)

Paper Title: Neuromorphic Vision-

Learning Event-Based Motion Deblurring

Learning Event-Based Motion Deblurring

Authors: Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy Ren, Jiancheng Lv, Yebin Liu Description: Recovering sharp video ...

Prophesee Image Deblurring Frame-Based + Event-Based Vision

Prophesee Image Deblurring Frame-Based + Event-Based Vision

Preliminary image deblurring results on high-speed scene, obtained combining Prophesee Metavision® sensor and algorithms ...