Saved in:
| Main Authors: | Zheng, Xiangtian, Wang, Zishuo, Peng, Yuxin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.08861 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
by: Li, Zeqian, et al.
Published: (2025)
by: Li, Zeqian, et al.
Published: (2025)
Frame-Voyager: Learning to Query Frames for Video Large Language Models
by: Yu, Sicheng, et al.
Published: (2024)
by: Yu, Sicheng, et al.
Published: (2024)
ChineseVideoBench: Benchmarking Multi-modal Large Models for Chinese Video Question Answering
by: Nie, Yuxiang, et al.
Published: (2025)
by: Nie, Yuxiang, et al.
Published: (2025)
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models
by: Liu, Zijian, et al.
Published: (2026)
by: Liu, Zijian, et al.
Published: (2026)
VideoFusion: A Spatio-Temporal Collaborative Network for Multi-modal Video Fusion
by: Tang, Linfeng, et al.
Published: (2025)
by: Tang, Linfeng, et al.
Published: (2025)
Multi-Granularity and Multi-modal Feature Interaction Approach for Text Video Retrieval
by: Li, Wenjun, et al.
Published: (2024)
by: Li, Wenjun, et al.
Published: (2024)
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
by: Feng, ZhanFeng, et al.
Published: (2025)
by: Feng, ZhanFeng, et al.
Published: (2025)
Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
by: Zhang, Deyu, et al.
Published: (2025)
by: Zhang, Deyu, et al.
Published: (2025)
Training-free Video Temporal Grounding using Large-scale Pre-trained Models
by: Zheng, Minghang, et al.
Published: (2024)
by: Zheng, Minghang, et al.
Published: (2024)
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames
by: Lu, Yunfan, et al.
Published: (2023)
by: Lu, Yunfan, et al.
Published: (2023)
Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)
by: Tan, Chaoyi, et al.
Published: (2024)
by: Tan, Chaoyi, et al.
Published: (2024)
FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering
by: Cheng, Zheng, et al.
Published: (2024)
by: Cheng, Zheng, et al.
Published: (2024)
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
by: Liao, Wenhui, et al.
Published: (2024)
by: Liao, Wenhui, et al.
Published: (2024)
Text-Video Multi-Grained Integration for Video Moment Montage
by: Yin, Zhihui, et al.
Published: (2024)
by: Yin, Zhihui, et al.
Published: (2024)
Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language Models
by: Liu, Zhihang, et al.
Published: (2025)
by: Liu, Zhihang, et al.
Published: (2025)
Poisoning Prompt-Guided Sampling in Video Large Language Models
by: Cao, Yuxin, et al.
Published: (2025)
by: Cao, Yuxin, et al.
Published: (2025)
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation
by: Zheng, Hanle, et al.
Published: (2025)
by: Zheng, Hanle, et al.
Published: (2025)
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
M-LLM Based Video Frame Selection for Efficient Video Understanding
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Exploring Efficient Foundational Multi-modal Models for Video Summarization
by: Samel, Karan, et al.
Published: (2024)
by: Samel, Karan, et al.
Published: (2024)
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
by: Peng, Zelin, et al.
Published: (2025)
by: Peng, Zelin, et al.
Published: (2025)
Text-guided Fine-Grained Video Anomaly Understanding
by: Gu, Jihao, et al.
Published: (2025)
by: Gu, Jihao, et al.
Published: (2025)
Failures to Surface Harmful Contents in Video Large Language Models
by: Cao, Yuxin, et al.
Published: (2025)
by: Cao, Yuxin, et al.
Published: (2025)
Efficient Multi-modal Large Language Models via Visual Token Grouping
by: Huang, Minbin, et al.
Published: (2024)
by: Huang, Minbin, et al.
Published: (2024)
GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
by: Ma, Junpeng, et al.
Published: (2026)
by: Ma, Junpeng, et al.
Published: (2026)
Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models
by: Li, Jinlong, et al.
Published: (2026)
by: Li, Jinlong, et al.
Published: (2026)
Frame-Level Captions for Long Video Generation with Complex Multi Scenes
by: Zheng, Guangcong, et al.
Published: (2025)
by: Zheng, Guangcong, et al.
Published: (2025)
Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution
by: Guo, Jinpei, et al.
Published: (2025)
by: Guo, Jinpei, et al.
Published: (2025)
Motion-aware Latent Diffusion Models for Video Frame Interpolation
by: Huang, Zhilin, et al.
Published: (2024)
by: Huang, Zhilin, et al.
Published: (2024)
Large Motion Video Autoencoding with Cross-modal Video VAE
by: Xing, Yazhou, et al.
Published: (2024)
by: Xing, Yazhou, et al.
Published: (2024)
SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
by: Shen, Leqi, et al.
Published: (2025)
by: Shen, Leqi, et al.
Published: (2025)
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models
by: Chen, Hong, et al.
Published: (2023)
by: Chen, Hong, et al.
Published: (2023)
Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval
by: Ko, Dohwan, et al.
Published: (2025)
by: Ko, Dohwan, et al.
Published: (2025)
Empowering Segmentation Ability to Multi-modal Large Language Models
by: Yang, Yuqi, et al.
Published: (2024)
by: Yang, Yuqi, et al.
Published: (2024)
LADDER: An Efficient Framework for Video Frame Interpolation
by: Shen, Tong, et al.
Published: (2024)
by: Shen, Tong, et al.
Published: (2024)
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction
by: Liu, Zheyuan, et al.
Published: (2025)
by: Liu, Zheyuan, et al.
Published: (2025)
GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis
by: Liang, Yiqing, et al.
Published: (2023)
by: Liang, Yiqing, et al.
Published: (2023)
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
by: Wen, Zichen, et al.
Published: (2025)
by: Wen, Zichen, et al.
Published: (2025)
Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers
by: Peng, Xinyu, et al.
Published: (2026)
by: Peng, Xinyu, et al.
Published: (2026)
Similar Items
-
Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
by: Li, Zeqian, et al.
Published: (2025) -
Frame-Voyager: Learning to Query Frames for Video Large Language Models
by: Yu, Sicheng, et al.
Published: (2024) -
ChineseVideoBench: Benchmarking Multi-modal Large Models for Chinese Video Question Answering
by: Nie, Yuxiang, et al.
Published: (2025) -
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models
by: Liu, Zijian, et al.
Published: (2026) -
VideoFusion: A Spatio-Temporal Collaborative Network for Multi-modal Video Fusion
by: Tang, Linfeng, et al.
Published: (2025)