24939mp4 Apr 2026
The paper titled " PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models " was published in the proceedings of the CVPR 2025 conference. It occupies the page range 24939–24949 in the CVPR 2025 Open Access Repository . This "deep" research focuses on reducing the length of visual tokens to improve the efficiency of Large Vision-Language Models (VLMs) when processing both static images and long video streams.
While "24939" is a page number for a video-related paper (PVC) and a DOI for a deep learning paper, there is no widely known single paper titled exactly "24939.mp4". It is possible this refers to a specific supplemental video file or a dataset entry associated with one of the papers above. CVPR 2025 Open Access Repository 24939mp4
The identifier appears in two distinct contexts related to "deep" or technical papers: The paper titled " PVC: Progressive Visual Token
CVPR 2025 Open Access Repository. These CVPR 2025 papers are the Open Access versions, provided by the Computer Vision Foundation. The Computer Vision Foundation While "24939" is a page number for a
The article " Deep learning‐based hybrid reconstruction algorithm for fibre segmentation " is published in The Canadian Journal of Chemical Engineering under the digital object identifier (DOI) ending in 24939 (specifically 10.1002/cjce.24939 ). It describes a machine learning framework for identifying and separating individual fibers in 3D X-ray tomography images.
