Reference Brief: This is the paper presentation by Jonassen LI for the course CPSC 533R 2021 WinterTerm at UBC.

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  • This is the paper presentation by Jonassen LI for the course CPSC 533R 2021 WinterTerm at UBC.

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Topic Gallery

RAFT Optical Flow Estimation
RAFT Optical Flow Estimation (ONNX)
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
Presentation on RAFT: Recurrent All-Pairs Field Transforms for Optical Flow.
Optical Flow with RAFT: Compute dense flow fields with deep neural nets
ECCV 2020 Best Paper Award | RAFT: A New Deep Network Architecture For Optical Flow | WITH CODE
Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation
RAFT: Recurrent All Pairs Field Transforms for Optical Flow
Coarse-to-Fine Flow Estimation | Optical Flow
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RAFT Optical Flow Estimation

RAFT Optical Flow Estimation

Read more details and related context about RAFT Optical Flow Estimation.

RAFT Optical Flow Estimation (ONNX)

RAFT Optical Flow Estimation (ONNX)

Read more details and related context about RAFT Optical Flow Estimation (ONNX).

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping

Read more details and related context about SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping.

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

Read more details and related context about PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds.

Presentation on RAFT: Recurrent All-Pairs Field Transforms for Optical Flow.

Presentation on RAFT: Recurrent All-Pairs Field Transforms for Optical Flow.

This is the paper presentation by Jonassen LI for the course CPSC 533R 2021 WinterTerm at UBC. For the paper:

Optical Flow with RAFT: Compute dense flow fields with deep neural nets

Optical Flow with RAFT: Compute dense flow fields with deep neural nets

Read more details and related context about Optical Flow with RAFT: Compute dense flow fields with deep neural nets.

ECCV 2020 Best Paper Award | RAFT: A New Deep Network Architecture For Optical Flow | WITH CODE

ECCV 2020 Best Paper Award | RAFT: A New Deep Network Architecture For Optical Flow | WITH CODE

Read more details and related context about ECCV 2020 Best Paper Award | RAFT: A New Deep Network Architecture For Optical Flow | WITH CODE.

Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation

Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation

Read more details and related context about Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation.

RAFT: Recurrent All Pairs Field Transforms for Optical Flow

RAFT: Recurrent All Pairs Field Transforms for Optical Flow

This video presentation covers a Computer Vision paper called

Coarse-to-Fine Flow Estimation | Optical Flow

Coarse-to-Fine Flow Estimation | Optical Flow

Read more details and related context about Coarse-to-Fine Flow Estimation | Optical Flow.