Cover Image

VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Wenqi, Wang, Yunxiao, Ma, Shijie, Liu, Meng, Su, Qile, Zhang, Tianke, Fan, Haonan, Liu, Changyi, Jiang, Kaiyu, Chen, Jiankang, Tang, Kaiyu, Wen, Bin, Yang, Fan, Gao, Tingting, Li, Han, Wei, Yinwei, Song, Xuemeng
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
by: Wang, Yunxiao, et al.
Published: (2025)

Thyme: Think Beyond Images
by: Zhang, Yi-Fan, et al.
Published: (2025)

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models
by: Yang, Yankai, et al.
Published: (2026)

VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform
by: Lu, Xingyu, et al.
Published: (2025)

SpatialReward: Bridging the Perception Gap in Online RL for Image Editing via Explicit Spatial Reasoning
by: Long, Yancheng, et al.
Published: (2026)

ContextRL: Enhancing MLLM's Knowledge Discovery Efficiency with Context-Augmented RL
by: Lu, Xingyu, et al.
Published: (2026)

TempCompass: Do Video LLMs Really Understand Videos?
by: Liu, Yuanxin, et al.
Published: (2024)

VideoExplorer: Think With Videos For Agentic Long-Video Understanding
by: Yuan, Huaying, et al.
Published: (2025)

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)

VTimeCoT: Thinking by Drawing for Video Temporal Grounding and Reasoning
by: Zhang, Jinglei, et al.
Published: (2025)

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval
by: Shen, Leqi, et al.
Published: (2024)

PEER: Unified Process-Outcome Reinforcement Learning for Structured Empathetic Reasoning
by: Wang, Yunxiao, et al.
Published: (2025)

InstructEngine: Instruction-driven Text-to-Image Alignment
by: Lu, Xingyu, et al.
Published: (2025)

VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
by: Wang, Shihao, et al.
Published: (2025)

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning
by: Lu, Xingyu, et al.
Published: (2026)

Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding
by: Chen, Houlun, et al.
Published: (2026)

Thinking in Streaming Video
by: Liu, Zikang, et al.
Published: (2026)

MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption
by: Liu, Ruixun, et al.
Published: (2024)

Thinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-Tuning
by: Gu, Xin, et al.
Published: (2025)

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
by: Chen, Jiankang, et al.
Published: (2025)

GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking
by: Cheng, Zixu, et al.
Published: (2026)

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
by: Liu, Han, et al.
Published: (2025)

TimeBrush : An Intelligent Expert System for Restoring Historical Images With Temporal and Stylistic Guidance
by: Kaiyu Zhang
Published: (2025)

TempCore: Are Video QA Benchmarks Temporally Grounded? A Frame Selection Sensitivity Analysis and Benchmark
by: Ok, Hyunjong, et al.
Published: (2025)

Context-Guided Spatio-Temporal Video Grounding
by: Gu, Xin, et al.
Published: (2024)

Towards Long-Form Spatio-Temporal Video Grounding
by: Gu, Xin, et al.
Published: (2026)

SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability
by: Wang, Jiankang, et al.
Published: (2025)

Preacher: Paper-to-Video Agentic System
by: Liu, Jingwei, et al.
Published: (2025)

Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
by: Wang, Ziyang, et al.
Published: (2025)

UniRef-Image-Edit: Towards Scalable and Consistent Multi-Reference Image Editing
by: Wei, Hongyang, et al.
Published: (2026)

NEWTON: Agentic Planning for Physically Grounded Video Generation
by: Feng, Yuxiang, et al.
Published: (2026)

LensWalk: Agentic Video Understanding by Planning How You See in Videos
by: Li, Keliang, et al.
Published: (2026)

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
by: Chen, Ruizhe, et al.
Published: (2025)

An Efficient Streaming Video Understanding Framework with Agentic Control
by: Liu, Jinming, et al.
Published: (2026)

Moment Quantization for Video Temporal Grounding
by: Sun, Xiaolong, et al.
Published: (2025)

VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos
by: Liang, Baoyu, et al.
Published: (2025)

V-CORE: Temporally Consistent Video Understanding for Video-LLM
by: Kang, Zhengjian, et al.
Published: (2026)

Video-CoE: Reinforcing Video Event Prediction via Chain of Events
by: Su, Qile, et al.
Published: (2026)

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
by: Guo, Yongxin, et al.
Published: (2024)

V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Models
by: Lin, Xinying, et al.
Published: (2026)