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Global for Coarse and Part for Fine: A Hierarchical Action Recognition Framework.

, , , and . ICIP, page 2630-2634. IEEE, (2018)

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Thinking Inside Uncertainty: Interest Moment Perception for Diverse Temporal Grounding., , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (10): 7190-7203 (2022)Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating., , , , and . Domain Adaptation for Visual Understanding, Springer, (2020)Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks., , , and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 247-261. Springer, (2018)Triple Attention For Robust Video Crowd Counting., , , , and . ICIP, page 1966-1970. IEEE, (2020)Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models., , , , , , and . Remote. Sens., 14 (19): 4701 (2022)Global for Coarse and Part for Fine: A Hierarchical Action Recognition Framework., , , and . ICIP, page 2630-2634. IEEE, (2018)Semantic description and traffic event detection modeling for surveillance video., , , and . BMSB, page 1-5. IEEE, (2013)Cross-layer feedback-based resilient coding for video transmission over uplink cellular network., , , and . IEEE Trans. Consumer Electronics, 53 (2): 506-512 (2007)Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection., , , , and . CVPR, page 24490-24499. IEEE, (2023)Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding., , , , and . CVPR, page 8445-8454. Computer Vision Foundation / IEEE, (2021)