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SFU at TRECVid 2009: Event Detection.

, , and . TRECVID, National Institute of Standards and Technology (NIST), (2009)

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Sparsely Connected Convolutional Networks., , , , and . CoRR, (2018)Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering., , , , , and . CoRR, (2017)LabelBank: Revisiting Global Perspectives for Semantic Segmentation., , , , and . CoRR, (2017)Recalling Holistic Information for Semantic Segmentation., , , , and . CoRR, (2016)Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction., , , , and . CoRR, (2018)House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation., , , , and . ECCV (1), volume 12346 of Lecture Notes in Computer Science, page 162-177. Springer, (2020)Generating Videos of Zero-Shot Compositions of Actions and Objects., , , , and . ECCV (12), volume 12357 of Lecture Notes in Computer Science, page 382-401. Springer, (2020)Optimizing Nondecomposable Loss Functions in Structured Prediction., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (4): 911-924 (2013)Boosted Multiple Deformable Trees for Parsing Human Poses., and . Workshop on Human Motion, volume 4814 of Lecture Notes in Computer Science, page 16-27. Springer, (2007)End-to-end Learning of Action Detection from Frame Glimpses in Videos., , , and . CoRR, (2015)