Media Summary: Authors: Liyuan Pan, Miaomiao Liu, Richard Hartley Description: We present a novel deep learning architecture for predicting Authors: Weng Fei Low, Zhi Gao, Cheng Xiang, Bharath Ramesh Description: We introduce the single-shot

Efficient Meshflow And Optical Flow Estimation From Event Cameras - Detailed Analysis & Overview

Authors: Liyuan Pan, Miaomiao Liu, Richard Hartley Description: We present a novel deep learning architecture for predicting Authors: Weng Fei Low, Zhi Gao, Cheng Xiang, Bharath Ramesh Description: We introduce the single-shot In this video, we explore the approach that IDNet takes to estimate Demo video for the extension of ECCV'20 paper "Spike-FlowNet: A Unifying Contrast Maximization Framework for

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Efficient Meshflow and Optical Flow Estimation from Event Cameras
Single Image Optical Flow Estimation With an Event Camera
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras (RSS 18)
Simultaneous Optical Flow and Intensity Estimation from an Event Camera
Simultaneous Optical Flow and Intensity Estimation From an Event Camera
SOFEA: A Non-Iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision Sensors
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Global Optical Flow Estimation (Event-based Camera)
[ECCV'20 demo] Spike-FlowNet: Event-based Optical Flow Estimation
A Unifying Contrast Maximization Framework for Event Cameras (CVPR'18)
[CVPR2024] Efficient Meshflow and Optical Flow Estimation from Event Cameras
Simultaneous Optical Flow and Intensity Estimation from an Event Camera
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Efficient Meshflow and Optical Flow Estimation from Event Cameras

Efficient Meshflow and Optical Flow Estimation from Event Cameras

We build the first

Single Image Optical Flow Estimation With an Event Camera

Single Image Optical Flow Estimation With an Event Camera

Authors: Liyuan Pan, Miaomiao Liu, Richard Hartley Description:

EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras (RSS 18)

EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras (RSS 18)

We present a novel deep learning architecture for predicting

Simultaneous Optical Flow and Intensity Estimation from an Event Camera

Simultaneous Optical Flow and Intensity Estimation from an Event Camera

Simultaneous

Simultaneous Optical Flow and Intensity Estimation From an Event Camera

Simultaneous Optical Flow and Intensity Estimation From an Event Camera

This video is about Simultaneous

Sponsored
SOFEA: A Non-Iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision Sensors

SOFEA: A Non-Iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision Sensors

Authors: Weng Fei Low, Zhi Gao, Cheng Xiang, Bharath Ramesh Description: We introduce the single-shot

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring

In this video, we explore the approach that IDNet takes to estimate

Global Optical Flow Estimation (Event-based Camera)

Global Optical Flow Estimation (Event-based Camera)

Global

[ECCV'20 demo] Spike-FlowNet: Event-based Optical Flow Estimation

[ECCV'20 demo] Spike-FlowNet: Event-based Optical Flow Estimation

Demo video for the extension of ECCV'20 paper "Spike-FlowNet:

A Unifying Contrast Maximization Framework for Event Cameras (CVPR'18)

A Unifying Contrast Maximization Framework for Event Cameras (CVPR'18)

A Unifying Contrast Maximization Framework for

[CVPR2024] Efficient Meshflow and Optical Flow Estimation from Event Cameras

[CVPR2024] Efficient Meshflow and Optical Flow Estimation from Event Cameras

In this paper, we explore the problem of

Simultaneous Optical Flow and Intensity Estimation from an Event Camera

Simultaneous Optical Flow and Intensity Estimation from an Event Camera

Simultaneous

Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras (ICCV 2025 Highlight)

Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras (ICCV 2025 Highlight)

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