Cover Image

SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Niu, Yulei, Guo, Wenliang, Chen, Long, Lin, Xudong, Chang, Shih-Fu
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos
by: Zare, Ali, et al.
Published: (2024)

ProcObject-10K: Benchmarking Object-Centric Procedural Understanding in Instructional Videos
by: Guo, Wenliang, et al.
Published: (2025)

Predicting Implicit Arguments in Procedural Video Instructions
by: Batra, Anil, et al.
Published: (2025)

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies
by: Su, Hung-Ting, et al.
Published: (2024)

PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
by: Wang, Hanlin, et al.
Published: (2023)

Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
by: Ohkawa, Takehiko, et al.
Published: (2023)

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals
by: Wu, Te-Lin, et al.
Published: (2021)

Two Causal Principles for Improving Visual Dialog
by: Qi, Jiaxin, et al.
Published: (2019)

Open-Event Procedure Planning in Instructional Videos
by: Wu, Yilu, et al.
Published: (2024)

Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
by: Zhou, Yufan, et al.
Published: (2025)

CoTasks: Chain-of-Thought based Video Instruction Tuning Tasks
by: Wang, Yanan, et al.
Published: (2025)

RECIPE: Procedural Planning via Grounding in Instructional Video
by: Seminara, Luigi, et al.
Published: (2026)

Video Summarization: Towards Entity-Aware Captions
by: Ayyubi, Hammad A., et al.
Published: (2023)

LAP: A Language-Aware Planning Model For Procedure Planning In Instructional Videos
by: Shi, Lei, et al.
Published: (2026)

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
by: Liang, Jiafeng, et al.
Published: (2024)

Video-guided Machine Translation with Global Video Context
by: Chen, Jian, et al.
Published: (2026)

IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
by: You, Haoxuan, et al.
Published: (2023)

LLaVA-Video: Video Instruction Tuning With Synthetic Data
by: Zhang, Yuanhan, et al.
Published: (2024)

Procedural Mistake Detection via Action Effect Modeling
by: Guo, Wenliang, et al.
Published: (2025)

WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
by: Ma, Jiawei, et al.
Published: (2024)

UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
by: Wang, Zhecan, et al.
Published: (2023)

CI w/o TN: Context Injection without Task Name for Procedure Planning
by: Li, Xinjie
Published: (2024)

ViterbiPlanNet: Injecting Procedural Knowledge via Differentiable Viterbi for Planning in Instructional Videos
by: Seminara, Luigi, et al.
Published: (2026)

ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos
by: Shi, Lei, et al.
Published: (2024)

Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
by: Nagasinghe, Kumaranage Ravindu Yasas, et al.
Published: (2024)

Show and Guide: Instructional-Plan Grounded Vision and Language Model
by: Glória-Silva, Diogo, et al.
Published: (2024)

Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
by: Nazir, Maham, et al.
Published: (2026)

VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval
by: Glória-Silva, Diogo, et al.
Published: (2026)

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning
by: Du, Yifan, et al.
Published: (2023)

Where do Large Vision-Language Models Look at when Answering Questions?
by: Xing, Xiaoying, et al.
Published: (2025)

VideoStudio: Generating Consistent-Content and Multi-Scene Videos
by: Long, Fuchen, et al.
Published: (2024)

MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos
by: Zang, Yuan, et al.
Published: (2025)

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos
by: Huang, Xiyang, et al.
Published: (2026)

HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models
by: Guo, Yansong, et al.
Published: (2026)

Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
by: Qin, Yulei, et al.
Published: (2025)

Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models
by: Lovenia, Holy, et al.
Published: (2023)

VideoChat: Chat-Centric Video Understanding
by: Li, KunChang, et al.
Published: (2023)

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
by: Yoon, Eunseop, et al.
Published: (2025)

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model
by: Huang, Haoyang, et al.
Published: (2025)

Planning with Sketch-Guided Verification for Physics-Aware Video Generation
by: Huang, Yidong, et al.
Published: (2025)