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2003.12039
Cited By
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
26 March 2020
Zachary Teed
Jia Deng
MDE
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Papers citing
"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow"
50 / 1,492 papers shown
Title
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Learning Pixel Trajectories with Multiscale Contrastive Random Walks
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37
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Autoencoding Video Latents for Adversarial Video Generation
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Stereo Magnification with Multi-Layer Images
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13 Jan 2022
Neural Residual Flow Fields for Efficient Video Representations
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54
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EM-driven unsupervised learning for efficient motion segmentation
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360° Optical Flow using Tangent Images
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29
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Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
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34
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46
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Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow
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28
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Pixel-wise Deep Image Stitching
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Scalable 3D Semantic Segmentation for Gun Detection in CT Scans
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43
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Input-level Inductive Biases for 3D Reconstruction
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Class-agnostic Reconstruction of Dynamic Objects from Videos
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11
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55
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CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
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DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting
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Temporally Consistent Online Depth Estimation in Dynamic Scenes
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40
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Enhanced Correlation Matching based Video Frame Interpolation
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Narae Choi
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22
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Learning Scene Dynamics from Point Cloud Sequences
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Patrick Emami
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Tracking Blobs in the Turbulent Edge Plasma of a Tokamak Fusion Device
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14
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Consistent Semantic Attacks on Optical Flow
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Triple-level Model Inferred Collaborative Network Architecture for Video Deraining
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Joint Detection of Motion Boundaries and Occlusions
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