IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Yujia, Jiao, Jile, Feng, Xuetao, Ye, Zixuan, Wang, Yuan, Wang, Zhicheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning
by: Li, Chenglin, et al.
Published: (2026)
by: Li, Chenglin, et al.
Published: (2026)
Geometry-Guided Camera Motion Understanding in VideoLLMs
by: Feng, Haoan, et al.
Published: (2026)
by: Feng, Haoan, et al.
Published: (2026)
VideoLLM Benchmarks and Evaluation: A Survey
by: Kumar, Yogesh
Published: (2025)
by: Kumar, Yogesh
Published: (2025)
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning
by: Qin, Jialong, et al.
Published: (2025)
by: Qin, Jialong, et al.
Published: (2025)
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
by: Wang, Haibo, et al.
Published: (2024)
by: Wang, Haibo, et al.
Published: (2024)
ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task
by: Khalil, Ahmad, et al.
Published: (2025)
by: Khalil, Ahmad, et al.
Published: (2025)
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
by: Wang, Yueqian, et al.
Published: (2024)
by: Wang, Yueqian, et al.
Published: (2024)
When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding
by: Fang, Pengcheng, et al.
Published: (2025)
by: Fang, Pengcheng, et al.
Published: (2025)
VideoLLM-online: Online Video Large Language Model for Streaming Video
by: Chen, Joya, et al.
Published: (2024)
by: Chen, Joya, et al.
Published: (2024)
Memory-efficient Streaming VideoLLMs for Real-time Procedural Video Understanding
by: Chatterjee, Dibyadip, et al.
Published: (2025)
by: Chatterjee, Dibyadip, et al.
Published: (2025)
Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
by: Guan, Yiran, et al.
Published: (2026)
by: Guan, Yiran, et al.
Published: (2026)
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
by: Wu, Shiwei, et al.
Published: (2024)
by: Wu, Shiwei, et al.
Published: (2024)
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
by: Li, Kunchang, et al.
Published: (2023)
by: Li, Kunchang, et al.
Published: (2023)
MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection
by: Zhao, Xiran, et al.
Published: (2026)
by: Zhao, Xiran, et al.
Published: (2026)
Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
by: Yan, Weicai, et al.
Published: (2026)
by: Yan, Weicai, et al.
Published: (2026)
Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation
by: Lei, Yinjie, et al.
Published: (2023)
by: Lei, Yinjie, et al.
Published: (2023)
M$^3$-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding
by: Liu, Shenxi, et al.
Published: (2025)
by: Liu, Shenxi, et al.
Published: (2025)
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
by: Yuan, Kun, et al.
Published: (2023)
by: Yuan, Kun, et al.
Published: (2023)
M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
by: Chen, Zixuan, et al.
Published: (2024)
by: Chen, Zixuan, et al.
Published: (2024)
Language-Guided Temporal Token Pruning for Efficient VideoLLM Processing
by: Kumar, Yogesh
Published: (2025)
by: Kumar, Yogesh
Published: (2025)
M-LLM Based Video Frame Selection for Efficient Video Understanding
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
by: Tang, Yolo Yunlong, et al.
Published: (2022)
by: Tang, Yolo Yunlong, et al.
Published: (2022)
360+x: A Panoptic Multi-modal Scene Understanding Dataset
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
AFFAKT: A Hierarchical Optimal Transport based Method for Affective Facial Knowledge Transfer in Video Deception Detection
by: Ji, Zihan, et al.
Published: (2024)
by: Ji, Zihan, et al.
Published: (2024)
VideoExplorer: Think With Videos For Agentic Long-Video Understanding
by: Yuan, Huaying, et al.
Published: (2025)
by: Yuan, Huaying, et al.
Published: (2025)
MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding
by: Wang, Yuan, et al.
Published: (2024)
by: Wang, Yuan, et al.
Published: (2024)
Exploring Efficient Foundational Multi-modal Models for Video Summarization
by: Samel, Karan, et al.
Published: (2024)
by: Samel, Karan, et al.
Published: (2024)
MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs
by: Peng, Tianhao, et al.
Published: (2025)
by: Peng, Tianhao, et al.
Published: (2025)
Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos
by: Fei, Jiajun, et al.
Published: (2024)
by: Fei, Jiajun, et al.
Published: (2024)
VIMI: Grounding Video Generation through Multi-modal Instruction
by: Fang, Yuwei, et al.
Published: (2024)
by: Fang, Yuwei, et al.
Published: (2024)
SpatialLLM: From Multi-modality Data to Urban Spatial Intelligence
by: Chen, Jiabin, et al.
Published: (2025)
by: Chen, Jiabin, et al.
Published: (2025)
SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding
by: Zeng, Nianbo, et al.
Published: (2025)
by: Zeng, Nianbo, et al.
Published: (2025)
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition
by: Yu, Xuzheng, et al.
Published: (2024)
by: Yu, Xuzheng, et al.
Published: (2024)
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
by: Gross, Markus, et al.
Published: (2025)
by: Gross, Markus, et al.
Published: (2025)
Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models
by: Li, Nanxi, et al.
Published: (2026)
by: Li, Nanxi, et al.
Published: (2026)
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
by: Song, Enxin, et al.
Published: (2025)
by: Song, Enxin, et al.
Published: (2025)
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
by: Wang, Xingrui, et al.
Published: (2024)
by: Wang, Xingrui, et al.
Published: (2024)
Symphony: A Cognitively-Inspired Multi-Agent System for Long-Video Understanding
by: Yan, Haiyang, et al.
Published: (2026)
by: Yan, Haiyang, et al.
Published: (2026)
MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
by: Pan, Yaning, et al.
Published: (2025)
by: Pan, Yaning, et al.
Published: (2025)
Similar Items
-
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning
by: Li, Chenglin, et al.
Published: (2026) -
Geometry-Guided Camera Motion Understanding in VideoLLMs
by: Feng, Haoan, et al.
Published: (2026) -
VideoLLM Benchmarks and Evaluation: A Survey
by: Kumar, Yogesh
Published: (2025) -
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning
by: Qin, Jialong, et al.
Published: (2025) -
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
by: Wang, Haibo, et al.
Published: (2024)