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Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis.

, , , , and . CVPR, page 9959-9968. Computer Vision Foundation / IEEE, (2021)

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GRADE: Gibbs Reaction and Diffusion Equation., and . ICCV, page 847-856. IEEE Computer Society, (1998)Layered Graph Match with Graph Editing., , and . CVPR, IEEE Computer Society, (2007)Mapping Natural Image Patches by Explicit and Implicit Manifolds., and . CVPR, IEEE Computer Society, (2007)SAVE: A framework for semantic annotation of visual events., , , and . CVPR Workshops, page 1-8. IEEE Computer Society, (2008)CERN: Confidence-Energy Recurrent Network for Group Activity Recognition., , and . CVPR, page 4255-4263. IEEE Computer Society, (2017)Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?, , , and . CVPR, page 1558-1565. IEEE Computer Society, (2000)FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling., , and . CVPR, page 686-693. IEEE Computer Society, (1996)Learning Human-Object Interactions by Graph Parsing Neural Networks., , , , and . ECCV (9), volume 11213 of Lecture Notes in Computer Science, page 407-423. Springer, (2018)Unsupervised learning of stochastic AND-OR templates for object modeling., and . ICCV Workshops, page 648-655. IEEE Computer Society, (2011)Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration., , , , , , and . EMNLP, page 1482-1492. The Association for Computational Linguistics, (2016)