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FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling.

, , and . CVPR, page 686-693. IEEE Computer Society, (1996)

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A null space method for over-complete blind source separation, and . Computational Statistics & Data Analysis, 51 (12): 5519--5536 (Aug 15, 2007)Learning Generator Networks for Dynamic Patterns., , , , and . WACV, page 809-818. IEEE, (2019)Learning Energy-Based Models by Diffusion Recovery Likelihood., , , , and . ICLR, OpenReview.net, (2021)Dynamic Textures., , and . ICCV, page 439-446. IEEE Computer Society, (2001)Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet., , and . CVPR, page 1061-1069. IEEE Computer Society, (2017)Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns., , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (2): 516-531 (2021)Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (3): 1162-1179 (2022)Learning Hierarchical Features with Joint Latent Space Energy-Based Prior., , and . ICCV, page 2218-2227. IEEE, (2023)Energy-Based Continuous Inverse Optimal Control., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (12): 10563-10577 (December 2023)Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance., , , , and . ICRA, page 13693-13700. IEEE, (2021)