Cover Image

Memory-efficient Streaming VideoLLMs for Real-time Procedural Video Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chatterjee, Dibyadip, Remelli, Edoardo, Song, Yale, Tekin, Bugra, Mittal, Abhay, Bhatnagar, Bharat, Camgöz, Necati Cihan, Hampali, Shreyas, Sauser, Eric, Ma, Shugao, Yao, Angela, Sener, Fadime
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions
by: Christen, Sammy, et al.
Published: (2024)

X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
by: Kukleva, Anna, et al.
Published: (2024)

PALM: A Dataset and Baseline for Learning Multi-subject Hand Prior
by: Fan, Zicong, et al.
Published: (2025)

Decouple and Cache: KV Cache Construction for Streaming Video Understanding
by: Pang, Zhanzhong, et al.
Published: (2026)

On the Utility of 3D Hand Poses for Action Recognition
by: Shamil, Md Salman, et al.
Published: (2024)

Don't Pause! Every prediction matters in a streaming video
by: Chatterjee, Dibyadip, et al.
Published: (2026)

On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding
by: Pang, Zhanzhong, et al.
Published: (2026)

Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
by: Wong, Ryan, et al.
Published: (2024)

SignRep: Enhancing Self-Supervised Sign Representations
by: Wong, Ryan, et al.
Published: (2025)

Towards Privacy-Aware Sign Language Translation at Scale
by: Rust, Phillip, et al.
Published: (2024)

VideoLLM-online: Online Video Large Language Model for Streaming Video
by: Chen, Joya, et al.
Published: (2024)

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
by: Guan, Yiran, et al.
Published: (2026)

HuMoCon: Concept Discovery for Human Motion Understanding
by: Fang, Qihang, et al.
Published: (2025)

SneakPeek: Future-Guided Instructional Streaming Video Generation
by: Hong, Cheeun, et al.
Published: (2025)

POET: Prompt Offset Tuning for Continual Human Action Adaptation
by: Garg, Prachi, et al.
Published: (2025)

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
by: Wu, Shiwei, et al.
Published: (2024)

WeaveTime: Stream from Earlier Frames into Emergent Memory in VideoLLMs
by: Zhang, Yulin, et al.
Published: (2026)

Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning
by: Qin, Jialong, et al.
Published: (2025)

VideoLLM Benchmarks and Evaluation: A Survey
by: Kumar, Yogesh
Published: (2025)

Context-Enhanced Memory-Refined Transformer for Online Action Detection
by: Pang, Zhanzhong, et al.
Published: (2025)

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs
by: Chung, Hyungjin, et al.
Published: (2025)

Geometry-Guided Camera Motion Understanding in VideoLLMs
by: Feng, Haoan, et al.
Published: (2026)

VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning
by: Li, Chenglin, et al.
Published: (2026)

Lost in Time: A New Temporal Benchmark for VideoLLMs
by: Cores, Daniel, et al.
Published: (2024)

Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
by: Kim, Minji, et al.
Published: (2025)

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
by: Liang, Yujia, et al.
Published: (2025)

When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding
by: Fang, Pengcheng, et al.
Published: (2025)

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
by: Wang, Haibo, et al.
Published: (2024)

Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
by: Pang, Zhanzhong, et al.
Published: (2025)

Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
by: Pang, Zhanzhong, et al.
Published: (2024)

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency
by: Li, Hongyu, et al.
Published: (2025)

Language-Guided Temporal Token Pruning for Efficient VideoLLM Processing
by: Kumar, Yogesh
Published: (2025)

EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs
by: Li, Jiameng, et al.
Published: (2026)

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering
by: Cai, Jianfeng, et al.
Published: (2025)

Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM
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)

Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
by: Yan, Weicai, et al.
Published: (2026)

Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)

Reseña de "Projeto Conservação Preventiva em Bibliotecas e Arquivos - CPBA"
by: Alda L. Sauser
Published: (2005)

Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
by: Xie, Xianghui, et al.
Published: (2023)