VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Jiapeng, Wang, Junke, You, Zuyao, He, Bo, Wu, Zuxuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning
by: You, Zuyao, et al.
Published: (2025)
by: You, Zuyao, et al.
Published: (2025)
Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning
by: You, Zuyao, et al.
Published: (2025)
by: You, Zuyao, et al.
Published: (2025)
FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
by: Xie, Yiweng, et al.
Published: (2026)
by: Xie, Yiweng, et al.
Published: (2026)
OmniVid: A Generative Framework for Universal Video Understanding
by: Wang, Junke, et al.
Published: (2024)
by: Wang, Junke, et al.
Published: (2024)
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding
by: Peng, Wujian, et al.
Published: (2023)
by: Peng, Wujian, et al.
Published: (2023)
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
by: Wang, Junke, et al.
Published: (2024)
by: Wang, Junke, et al.
Published: (2024)
Learning Accurate Segmentation Purely from Self-Supervision
by: You, Zuyao, et al.
Published: (2026)
by: You, Zuyao, et al.
Published: (2026)
VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Enhancing Video Large Language Models with Structured Multi-Video Collaborative Reasoning
by: He, Zhihao, et al.
Published: (2025)
by: He, Zhihao, et al.
Published: (2025)
DeRA: Decoupled Representation Alignment for Video Tokenization
by: Guo, Pengbo, et al.
Published: (2025)
by: Guo, Pengbo, et al.
Published: (2025)
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
by: He, Zhihao, et al.
Published: (2026)
by: He, Zhihao, et al.
Published: (2026)
FOCUS: Towards Universal Foreground Segmentation
by: You, Zuyao, et al.
Published: (2025)
by: You, Zuyao, et al.
Published: (2025)
TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction
by: Ma, Yukuo, et al.
Published: (2025)
by: Ma, Yukuo, et al.
Published: (2025)
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling
by: Ju, Shaobo, et al.
Published: (2026)
by: Ju, Shaobo, et al.
Published: (2026)
EventSTU: Event-Guided Efficient Spatio-Temporal Understanding for Video Large Language Models
by: Xu, Wenhao, et al.
Published: (2025)
by: Xu, Wenhao, et al.
Published: (2025)
TrajLoom: Dense Future Trajectory Generation from Video
by: Zhang, Zewei, et al.
Published: (2026)
by: Zhang, Zewei, et al.
Published: (2026)
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?
by: Feng, Bo, et al.
Published: (2025)
by: Feng, Bo, et al.
Published: (2025)
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
by: Wang, Jiapeng, et al.
Published: (2024)
by: Wang, Jiapeng, et al.
Published: (2024)
Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding
by: Nguyen, Thong, et al.
Published: (2025)
by: Nguyen, Thong, et al.
Published: (2025)
Described Spatial-Temporal Video Detection
by: Ji, Wei, et al.
Published: (2024)
by: Ji, Wei, et al.
Published: (2024)
Causality Matters: How Temporal Information Emerges in Video Language Models
by: Shi, Yumeng, et al.
Published: (2025)
by: Shi, Yumeng, et al.
Published: (2025)
VideoPerceiver: Enhancing Fine-Grained Temporal Perception in Video Multimodal Large Language Models
by: Zhao, Fufangchen, et al.
Published: (2025)
by: Zhao, Fufangchen, et al.
Published: (2025)
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
by: Cheng, Zesen, et al.
Published: (2024)
by: Cheng, Zesen, et al.
Published: (2024)
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
by: Li, Chaoyu, et al.
Published: (2024)
by: Li, Chaoyu, et al.
Published: (2024)
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
by: Xiong, Yuanhao, et al.
Published: (2023)
by: Xiong, Yuanhao, et al.
Published: (2023)
Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
by: Tu, Shuyuan, et al.
Published: (2026)
by: Tu, Shuyuan, et al.
Published: (2026)
An Approach to Enriching Surgical Video Datasets for Fine-Grained Spatial-Temporal Understanding of Vision-Language Models
by: Maack, Lennart, et al.
Published: (2026)
by: Maack, Lennart, et al.
Published: (2026)
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
by: Liao, Ruotong, et al.
Published: (2024)
by: Liao, Ruotong, et al.
Published: (2024)
Streaming Long Video Understanding with Large Language Models
by: Qian, Rui, et al.
Published: (2024)
by: Qian, Rui, et al.
Published: (2024)
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
by: Li, Yun, et al.
Published: (2025)
by: Li, Yun, et al.
Published: (2025)
Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models
by: Zhang, Linghao, et al.
Published: (2026)
by: Zhang, Linghao, et al.
Published: (2026)
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
by: Liang, Yiming, et al.
Published: (2026)
by: Liang, Yiming, et al.
Published: (2026)
On the Consistency of Video Large Language Models in Temporal Comprehension
by: Jung, Minjoon, et al.
Published: (2024)
by: Jung, Minjoon, et al.
Published: (2024)
T2SGrid: Temporal-to-Spatial Gridification for Video Temporal Grounding
by: Guo, Chaohong, et al.
Published: (2026)
by: Guo, Chaohong, et al.
Published: (2026)
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis
by: Zheng, Peng, et al.
Published: (2025)
by: Zheng, Peng, et al.
Published: (2025)
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
by: Huang, Haojian, et al.
Published: (2025)
by: Huang, Haojian, 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)
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models
by: Lan, Xiaohan, et al.
Published: (2024)
by: Lan, Xiaohan, et al.
Published: (2024)
ChatVTG: Video Temporal Grounding via Chat with Video Dialogue Large Language Models
by: Qu, Mengxue, et al.
Published: (2024)
by: Qu, Mengxue, et al.
Published: (2024)
Similar Items
-
Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning
by: You, Zuyao, et al.
Published: (2025) -
Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning
by: You, Zuyao, et al.
Published: (2025) -
FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
by: Xie, Yiweng, et al.
Published: (2026) -
OmniVid: A Generative Framework for Universal Video Understanding
by: Wang, Junke, et al.
Published: (2024) -
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding
by: Peng, Wujian, et al.
Published: (2023)