Unsupervised learning of optical flow in a multi-frame dynamic environment using temporal dynamic modeling

Decoupled spatiotemporal adaptive fusion network for self-supervised motion estimation

(2023) Zitang Sun et al.   NEUROCOMPUTING

Unsupervised Learning of Optical Flow With Non-Occlusion From Geometry

(2022) Guangming Wang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Learning to see material from motion by predicting videos

(2021) Katherine Storrs et al.   JOURNAL OF VISION

Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry

(2020) Guangming Wang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

(2018) Nikolaus Mayer et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Transformations Based on Continuous Piecewise-Affine Velocity Fields

(2017) Oren Freifeld et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Occlusion-Aware Optical Flow Estimation

(2008) S. Ince et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING