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Found 5 papers, 2 papers with code
Self-Supervised Linear Motion Deblurring
Motion blurry images challenge many computer vision algorithms, e. g, feature detection, motion estimation, or object recognition.
Attacking Optical Flow
In this paper, we extend adversarial patch attacks to optical flow networks and show that such attacks can compromise their performance.
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
In this paper, we propose a framework for unsupervised learning of optical flow and occlusions over multiple frames.
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
Existing optical flow datasets are limited in size and variability due to the difficulty of capturing dense ground truth.
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
Towards this goal, we analyze the performance of the state of the art on several challenging benchmarking datasets, including KITTI, MOT, and Cityscapes.
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