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Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition.

, , , and . CVPR, page 4772-4781. IEEE Computer Society, (2016)

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Policy Message Passing: A New Algorithm for Probabilistic Graph Inference., and . CoRR, (2019)Continuous Graph Flow for Flexible Density Estimation., , , and . CoRR, (2019)Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks., , and . ACCV (4), volume 10114 of Lecture Notes in Computer Science, page 68-83. Springer, (2016)Sparsely Aggregated Convolutional Networks., , , , , and . ECCV (12), volume 11216 of Lecture Notes in Computer Science, page 192-208. Springer, (2018)Multimodal Dataset Distillation for Image-Text Retrieval., , and . CoRR, (2023)Learning Action Primitives for Multi-level Video Event Understanding., , , , and . ECCV Workshops (3), volume 8927 of Lecture Notes in Computer Science, page 95-110. Springer, (2014)Dynamic Sub-graph Learning for Patch-Based Cortical Folding Classification., , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 53-62. Springer, (2021)Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition., , , and . CVPR, page 4772-4781. IEEE Computer Society, (2016)Structured Label Inference for Visual Understanding., , , , , and . CoRR, (2018)Hierarchical Deep Temporal Models for Group Activity Recognition., , , , and . CoRR, (2016)