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AT&T Research at TRECVID 2013: Surveillance Event Detection.

, , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2013)

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Towards Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes., , , , and . BMVC, page 284. BMVA Press, (2019)Incremental Scene Synthesis., , , , , , , and . NeurIPS, page 1666-1676. (2019)POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization., and . CoRR, (2023)Self-Supervised Feature Learning by Cross-Modality and Cross-View Correspondences., , and . CVPR Workshops, page 1581-1591. Computer Vision Foundation / IEEE, (2021)PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation., , , , , , and . CVPR, page 8606-8615. IEEE, (2022)Sequential Point Clouds: A Survey., and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (8): 5504-5523 (August 2024)Increasing spatial resolution of sea ice motion estimation., , and . IGARSS, page 2844-2847. IEEE, (2017)Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey., and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (11): 4037-4058 (2021)Self-supervised Spatiotemporal Feature Learning by Video Geometric Transformations., and . CoRR, (2018)Subsurface Pipes Detection Using DNN-based Back Projection on GPR Data., , , , and . WACV, page 266-275. IEEE, (2021)