Co-occurring keywords · papers mentioning both
Papers
Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis
CVPR 2026
Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos
CVPR 2026
PriVi: Towards a General-Purpose Video Model for Primate Behavior in the Wild
CVPR 2026
Learning Beyond Still Frames: Scaling Vision-Language Models with Video
ICCV 2025
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
ICCV 2025
Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
ICCV 2025
Any-point Trajectory Modeling for Policy Learning
RSS 2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
NeurIPS 2024
Learning Manipulation by Predicting Interaction
RSS 2024
Learning to Act without Actions
ICLR 2024
Self-supervised video pretraining yields robust and more human-aligned visual representations
NeurIPS 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
NeurIPS 2023
Video pretraining advances 3D deep learning on chest CT tasks
MIDL 2023
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
NeurIPS 2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
NeurIPS 2022
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
CVPR 2021
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
CVPR 2019