ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Peiran, Liu, Yunze, Liu, Miao, Shen, Junxiao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
by: Wu, Peiran, et al.
Published: (2025)
by: Wu, Peiran, et al.
Published: (2025)
O-MARC: Omni Memory-Augmented Compression Distillation for Efficient Video Understanding
by: Wu, Peiran, et al.
Published: (2026)
by: Wu, Peiran, et al.
Published: (2026)
VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining
by: Liu, Yunze, et al.
Published: (2025)
by: Liu, Yunze, et al.
Published: (2025)
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
by: Wu, Peiran, et al.
Published: (2025)
by: Wu, Peiran, et al.
Published: (2025)
PointNet4D: A Lightweight 4D Point Cloud Video Backbone for Online and Offline Perception in Robotic Applications
by: Liu, Yunze, et al.
Published: (2025)
by: Liu, Yunze, et al.
Published: (2025)
Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World
by: Huang, Yuzhi, et al.
Published: (2026)
by: Huang, Yuzhi, et al.
Published: (2026)
OmniRetriever: Any-to-Any Audio-Video-Text Retrieval via Fusion-as-Teacher Distillation
by: Liu, Yunze, et al.
Published: (2026)
by: Liu, Yunze, et al.
Published: (2026)
EgoReasoner: Learning Egocentric 4D Reasoning via Task-Adaptive Structured Thinking
by: Zhu, Fangrui, et al.
Published: (2026)
by: Zhu, Fangrui, et al.
Published: (2026)
Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
by: Gholami, Mohsen, et al.
Published: (2025)
by: Gholami, Mohsen, et al.
Published: (2025)
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
by: Cheng, Sijie, et al.
Published: (2023)
by: Cheng, Sijie, et al.
Published: (2023)
Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos
by: Ge, Mengmeng, et al.
Published: (2026)
by: Ge, Mengmeng, et al.
Published: (2026)
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
by: Wu, Peiran, et al.
Published: (2024)
by: Wu, Peiran, et al.
Published: (2024)
EgoIntrospect: An Egocentric Dataset and Benchmark for User-Centric Internal State Reasoning
by: Wang, Zeyu, et al.
Published: (2026)
by: Wang, Zeyu, et al.
Published: (2026)
EgoExo-WM: Unlocking Exo Video for Ego World Models
by: Tran, Danny, et al.
Published: (2026)
by: Tran, Danny, et al.
Published: (2026)
CULTURE3D: A Large-Scale and Diverse Dataset of Cultural Landmarks and Terrains for Gaussian-Based Scene Rendering
by: Zheng, Xinyi, et al.
Published: (2025)
by: Zheng, Xinyi, et al.
Published: (2025)
ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing
by: Li, Hengjia, et al.
Published: (2026)
by: Li, Hengjia, et al.
Published: (2026)
Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space
by: Trinh, Quoc-Huy, et al.
Published: (2026)
by: Trinh, Quoc-Huy, et al.
Published: (2026)
Thinking with Spatial Code for Physical-World Video Reasoning
by: Chen, Jieneng, et al.
Published: (2026)
by: Chen, Jieneng, et al.
Published: (2026)
SpatialMem: Metric-Aligned Long-Horizon Video Memory for Language Grounding and QA
by: Zheng, Xinyi, et al.
Published: (2026)
by: Zheng, Xinyi, et al.
Published: (2026)
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios
by: Qiu, Lu, et al.
Published: (2024)
by: Qiu, Lu, et al.
Published: (2024)
Understanding Dynamic Scenes in Ego Centric 4D Point Clouds
by: Huang, Junsheng, et al.
Published: (2025)
by: Huang, Junsheng, et al.
Published: (2025)
Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation
by: Luo, Jingnan, et al.
Published: (2026)
by: Luo, Jingnan, et al.
Published: (2026)
Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning
by: Hua, Jiacheng, et al.
Published: (2026)
by: Hua, Jiacheng, et al.
Published: (2026)
Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning
by: Xi, Zeyu, et al.
Published: (2025)
by: Xi, Zeyu, et al.
Published: (2025)
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding
by: Zhou, Wenqi, et al.
Published: (2025)
by: Zhou, Wenqi, et al.
Published: (2025)
A Survey on Video Temporal Grounding with Multimodal Large Language Model
by: Wu, Jianlong, et al.
Published: (2025)
by: Wu, Jianlong, et al.
Published: (2025)
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
by: Man, Yunze, et al.
Published: (2025)
by: Man, Yunze, et al.
Published: (2025)
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
by: Liu, Yuanxin, et al.
Published: (2025)
by: Liu, Yuanxin, et al.
Published: (2025)
X-World: Controllable Ego-Centric Multi-Camera World Models for Scalable End-to-End Driving
by: Zheng, Chaoda, et al.
Published: (2026)
by: Zheng, Chaoda, et al.
Published: (2026)
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
by: Liao, Kang, et al.
Published: (2025)
by: Liao, Kang, et al.
Published: (2025)
Video Spatial Reasoning with Object-Centric 3D Rollout
by: Tang, Haoran, et al.
Published: (2025)
by: Tang, Haoran, et al.
Published: (2025)
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
by: Cheng, Tongtong, et al.
Published: (2025)
by: Cheng, Tongtong, et al.
Published: (2025)
ThinkFake: Reasoning in Multimodal Large Language Models for AI-Generated Image Detection
by: Huang, Tai-Ming, et al.
Published: (2025)
by: Huang, Tai-Ming, et al.
Published: (2025)
Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
by: Liu, Yuansen, et al.
Published: (2025)
by: Liu, Yuansen, et al.
Published: (2025)
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
by: Yang, Jihan, et al.
Published: (2024)
by: Yang, Jihan, et al.
Published: (2024)
How Far Are Video Models from True Multimodal Reasoning?
by: Zhang, Xiaotian, et al.
Published: (2026)
by: Zhang, Xiaotian, et al.
Published: (2026)
Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models
by: Zhang, Jialiang, et al.
Published: (2026)
by: Zhang, Jialiang, et al.
Published: (2026)
ST$^3$: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming
by: Zhuang, Jiedong, et al.
Published: (2024)
by: Zhuang, Jiedong, et al.
Published: (2024)
EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
by: Li, Yanjun, et al.
Published: (2025)
by: Li, Yanjun, et al.
Published: (2025)
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
by: Tang, Yolo Y., et al.
Published: (2025)
by: Tang, Yolo Y., et al.
Published: (2025)
Similar Items
-
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
by: Wu, Peiran, et al.
Published: (2025) -
O-MARC: Omni Memory-Augmented Compression Distillation for Efficient Video Understanding
by: Wu, Peiran, et al.
Published: (2026) -
VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining
by: Liu, Yunze, et al.
Published: (2025) -
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
by: Wu, Peiran, et al.
Published: (2025) -
PointNet4D: A Lightweight 4D Point Cloud Video Backbone for Online and Offline Perception in Robotic Applications
by: Liu, Yunze, et al.
Published: (2025)