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Real-time high-accuracy optical flow estimation is a crucial component in various applications, including localization and mapping in robotics, object tracking, and activity recognition in computer vision.
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2017
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A. Ranjan and M. J. Black, “Optical flow estimation using a spatial pyramid network,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017, pp. 4161–4170
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2020
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Z. Teed and J. Deng, “Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,” Advances in neural information processing systems , vol. 34, pp. 16 558–16 569, 2021
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H. Xu, J. Yang, J. Cai, J. Zhang, and X. Tong, “High-resolution optical flow from 1d attention and correlation,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021, pp. 10 498–10 507
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2021
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2021
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2022
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2023
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2076
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