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20242026
most citedSlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

4 citations · 5 across the 8 of their papers we have counts for

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cs.CV2025

VideoCoF: Unified Video Editing with Temporal Reasoner

Xiangpeng Yang, Ji Xie, Yiyuan Yang +4

Existing video editing methods face a critical trade-off: expert models offer precision but rely on task-specific priors like masks, hindering unification; conversely, unified temp…

cs.CV2025

AToken: A Unified Tokenizer for Vision

Jiasen Lu, Liangchen Song, Mingze Xu +5

We present AToken, the first unified visual tokenizer that achieves both high-fidelity reconstruction and semantic understanding across images, videos, and 3D assets. Unlike existi…

cs.CV2025

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation

Rui Tian, Mingfei Gao, Mingze Xu +5

We introduce UniGen, a unified multimodal large language model (MLLM) capable of image understanding and generation. We study the full training pipeline of UniGen from a data-centr…

cs.CV2025

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Haibo Wang, Bo Feng, Zhengfeng Lai +6

We present StreamBridge, a simple yet effective framework that seamlessly transforms offline Video-LLMs into streaming-capable models. It addresses two fundamental challenges in ad…

cs.CV2025

SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding

Mingze Xu, Mingfei Gao, Shiyu Li +7

We introduce SlowFast-LLaVA-1.5 (abbreviated as SF-LLaVA-1.5), a family of video large language models (LLMs) offering a token-efficient solution for long-form video understanding.…