AI Paper Atlas

Research map / Video / Video segmentation and tracking

VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory

NeurIPS 2025 · Video › Video segmentation and tracking · approach: Stochastic video prediction · 0 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes VideoTitans, a video prediction model that integrates short- and long-term memory to forecast high-resolution, long-horizon video with scalable complexity.

Problem

Video forecasting for high-resolution, long-horizon prediction, where transformers' global attention has quadratic cost and convolutional/recurrent methods are limited.

Approach

Integrates short-term and long-term memory modules into a video prediction architecture to avoid quadratic global attention while retaining long-range context (details beyond the abstract not available).

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy