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UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding., , , , , , and . ICCV, page 1632-1643. IEEE, (2023)VideoMamba: State Space Model for Efficient Video Understanding., , , , , , and . ECCV (26), volume 15084 of Lecture Notes in Computer Science, page 237-255. Springer, (2024)InternVideo2: Scaling Foundation Models for Multimodal Video Understanding., , , , , , , , , and 8 other author(s). ECCV (85), volume 15143 of Lecture Notes in Computer Science, page 396-416. Springer, (2024)InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation., , , , , , , , , and 5 other author(s). ICLR, OpenReview.net, (2024)ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis., , , , , , , , and . CVPR, page 4360-4369. Computer Vision Foundation / IEEE, (2021)X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation., , , , , , , , , and . ECCV (26), volume 13686 of Lecture Notes in Computer Science, page 509-528. Springer, (2022)Height Servo System for Straw-Checkerboard Sand Barriers Paving Robot., , , , , and . ISCID (2), page 338-340. IEEE Computer Society, (2009)VBench: Comprehensive Benchmark Suite for Video Generative Models., , , , , , , , , and 6 other author(s). CoRR, (2023)Highly Portable, Sensor-Based System for Human Fall Monitoring., , , and . Sensors, 17 (9): 2096 (2017)From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities., , , , , , , , , and 26 other author(s). CoRR, (2024)