Core Summary: In this work we target the problem of estimating accurately localised correspondences between a pair of images.

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Event-based Asynchronous Sparse Convolutional Networks (ECCV 2020 Presentation)
Event-based Asynchronous Sparse Convolutional Networks by Daniel Gehrig.
Event-based Asynchronous Sparse Convolutional Networks
Paper 3 - N. Messikommer, et. al - Event-based Asynchronous Sparse Convolutional Networks
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions - ECCV 2020 (10min)
What are Convolutional Neural Networks (CNNs)?
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, [ECCV 2020]
Lecture 7: Convolutional Networks
[ECCV'20 demo] Spike-FlowNet: Event-based Optical Flow Estimation
Sparse Convolutions on Continuous Domains, ACCV2020 Presentation
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Event-based Asynchronous Sparse Convolutional Networks (ECCV 2020 Presentation)

Event-based Asynchronous Sparse Convolutional Networks (ECCV 2020 Presentation)

Read more details and related context about Event-based Asynchronous Sparse Convolutional Networks (ECCV 2020 Presentation).

Event-based Asynchronous Sparse Convolutional Networks by Daniel Gehrig.

Event-based Asynchronous Sparse Convolutional Networks by Daniel Gehrig.

Contributed talk by Daniel Gehrig from the University of Zurich. "

Event-based Asynchronous Sparse Convolutional Networks

Event-based Asynchronous Sparse Convolutional Networks

Read more details and related context about Event-based Asynchronous Sparse Convolutional Networks.

Paper 3 - N. Messikommer, et. al - Event-based Asynchronous Sparse Convolutional Networks

Paper 3 - N. Messikommer, et. al - Event-based Asynchronous Sparse Convolutional Networks

Paper 3 - N. Messikommer, D. Gehrig, A. Loquercio, D. Scaramuzza -

Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions - ECCV 2020 (10min)

Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions - ECCV 2020 (10min)

In this work we target the problem of estimating accurately localised correspondences between a pair of images. We adopt the ...

What are Convolutional Neural Networks (CNNs)?

What are Convolutional Neural Networks (CNNs)?

Ready to start your career in AI? Begin with this certificate → Learn more about watsonx ...

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, [ECCV 2020]

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, [ECCV 2020]

Read more details and related context about Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, [ECCV 2020].

Lecture 7: Convolutional Networks

Lecture 7: Convolutional Networks

Read more details and related context about Lecture 7: Convolutional Networks.

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

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

Read more details and related context about [ECCV'20 demo] Spike-FlowNet: Event-based Optical Flow Estimation.

Sparse Convolutions on Continuous Domains, ACCV2020 Presentation

Sparse Convolutions on Continuous Domains, ACCV2020 Presentation

Read more details and related context about Sparse Convolutions on Continuous Domains, ACCV2020 Presentation.