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Found 6 papers, 4 papers with code
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation
Recently, the RGB images and point clouds fusion methods have been proposed to jointly estimate 2D optical flow and 3D scene flow.
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
Rolling shutter correction (RSC) is becoming increasingly popular for RS cameras that are widely used in commercial and industrial applications.
Learning Dense and Continuous Optical Flow from an Event Camera
In this paper, we propose a novel deep learning-based dense and continuous optical flow estimation framework from a single image with event streams, which facilitates the accurate perception of high-speed motion.
Deep Idempotent Network for Efficient Single Image Blind Deblurring
Single image blind deblurring is highly ill-posed as neither the latent sharp image nor the blur kernel is known.
Generative Transformer for Accurate and Reliable Salient Object Detection
For the former, we apply transformer to a deterministic model, and explain that the effective structure modeling and global context modeling abilities lead to its superior performance compared with the CNN based frameworks.
PRAFlow_RVC: Pyramid Recurrent All-Pairs Field Transforms for Optical Flow Estimation in Robust Vision Challenge 2020
Optical flow estimation is an important computer vision task, which aims at estimating the dense correspondences between two frames.
