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Detecting Human-Object Interaction via Fabricated Compositional Learning.

, , , , and . CVPR, page 14646-14655. Computer Vision Foundation / IEEE, (2021)

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BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning., , , , and . CoRR, (2022)BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning., , and . CVPR, page 7246-7256. IEEE, (2022)Affordance Transfer Learning for Human-Object Interaction Detection., , , , and . CVPR, page 495-504. Computer Vision Foundation / IEEE, (2021)Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition., , , , , and . Cogn. Comput., 9 (5): 597-610 (2017)Compositional 3D Human-Object Neural Animation., , and . CoRR, (2023)Detecting Human-Object Interaction via Fabricated Compositional Learning., , , , and . CVPR, page 14646-14655. Computer Vision Foundation / IEEE, (2021)Visual Compositional Learning for Human-Object Interaction Detection., , , and . ECCV (15), volume 12360 of Lecture Notes in Computer Science, page 584-600. Springer, (2020)RTCRelief-F: an effective clustering and ordering-based ensemble pruning algorithm for facial expression recognition., , , , , and . Knowl. Inf. Syst., 59 (1): 219-250 (2019)Load-Adaptive and Energy-Efficient Topology Control in LEO Mega-Constellation Networks., , , , , , , and . GLOBECOM, page 1552-1557. IEEE, (2022)Design and implementation of behaviour detection system for the elderly based on smart phone., , , , , , , and . ROBIO, page 1741-1746. IEEE, (2012)