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cs.CV2026
TrackMAE: Video Representation Learning via Track Mask and Predict
Renaud Vandeghen, Fida Mohammad Thoker, Marc Van Droogenbroeck +1
Masked video modeling (MVM) has emerged as a simple and scalable self-supervised pretraining paradigm, but only encodes motion information implicitly, limiting the encoding of temp…
cs.CV2025
ResidualViT for Efficient Temporally Dense Video Encoding
Mattia Soldan, Fabian Caba Heilbron, Bernard Ghanem +2
Several video understanding tasks, such as natural language temporal video grounding, temporal activity localization, and audio description generation, require "temporally dense" r…
cs.CV2024
Generative Timelines for Instructed Visual Assembly
Alejandro Pardo, Jui-Hsien Wang, Bernard Ghanem +3
The objective of this work is to manipulate visual timelines (e.g. a video) through natural language instructions, making complex timeline editing tasks accessible to non-expert or…