Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning

Author:

Bi Jing1,Luo Jiebo1,Xu Chenliang1

Affiliation:

1. University of Rochester

Funder

National Science Foundation

National Institute of Standards and Technology

Publisher

IEEE

Reference43 articles.

1. Meta-inverse reinforcement learning with probabilistic context variables;yu,2019

2. Where and Why are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks

3. Tracking as online decision-making: Learning a policy from streaming videos with reinforcement learning;iii;Proceedings of the IEEE International Conference on Computer Vision,2017

4. Universal planning networks;srinivas,2018

5. Mastering the game of go without human knowledge;silver;Nature,2017

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1. Fuzzy Multimodal Graph Reasoning for Human-Centric Instructional Video Grounding;IEEE Transactions on Fuzzy Systems;2024-09

2. Pretrained Language Models as Visual Planners for Human Assistance;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

3. Learning to Ground Instructional Articles in Videos through Narrations;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. Event-Guided Procedure Planning from Instructional Videos with Text Supervision;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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