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IBM-Northwestern@TRECVID 2014: Surveillance Event Detection.

, , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2014)

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Informedia @TRECVID 2012., , , , , , , , , and 20 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2012)Moments in Time Dataset: One Million Videos for Event Understanding., , , , , , , , , and 1 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 42 (2): 502-508 (2020)Generating Adversarial Computer Programs using Optimized Obfuscations., , , , , , and . ICLR, OpenReview.net, (2021)More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation., , , , and . NeurIPS, page 2261-2270. (2019)Evading Real-Time Person Detectors by Adversarial T-shirt., , , , , , , , and . CoRR, (2019)IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems., , , , , , , , , and 9 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2013)Can an Image Classifier Suffice For Action Recognition?, , and . ICLR, OpenReview.net, (2022)Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition., , , , , , and . CoRR, (2020)Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition., , , , and . ICLR (Poster), OpenReview.net, (2019)Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding., , , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 9434-9445 (2022)