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cs.CV2026

StreamPro: From Reactive Perception to Proactive Decision-Making in Streaming Video

Ao Li, Zihan Xiao, Zihao Yue +7

Proactive streaming video understanding requires models to continuously process video streams and decide when to respond, rather than merely what to respond. This naturally introdu…

cs.CV2026

MSJoE: Jointly Evolving MLLM and Sampler for Efficient Long-Form Video Understanding

Wenhui Tan, Xiaoyi Yu, Jiaze Li +5

Efficiently understanding long-form videos remains a fundamental challenge for multimodal large language models (MLLMs). In this paper, we present MLLM-Sampler Joint Evolution (MSJ…

cs.CV2026

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension

Haoran Xu, Hongyu Wang, Jiaze Li +5

Existing LLM test-time scaling laws emphasize the emergence of self-reflective behaviors through extended reasoning length. Nevertheless, this vertical scaling strategy often encou…

cs.CV2026

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation

Jiaze Li, Hao Yin, Haoran Xu +6

Reinforcement learning has emerged as a principled post-training paradigm for Temporal Video Grounding (TVG) due to its on-policy optimization, yet existing GRPO-based methods rema…

cs.CV2026

Think-Clip-Sample: Slow-Fast Frame Selection for Video Understanding

Wenhui Tan, Ruihua Song, Jiaze Li +2

Recent progress in multi-modal large language models (MLLMs) has significantly advanced video understanding. However, their performance on long-form videos remains limited by compu…

cs.CV2025

Xiaomi MiMo-VL-Miloco Technical Report

Jiaze Li, Jingyang Chen, Yuxun Qu +9

We open-source MiMo-VL-Miloco-7B and its quantized variant MiMo-VL-Miloco-7B-GGUF, a pair of home-centric vision-language models that achieve strong performance on both home-scenar…

cs.CV2025

TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding

Boshen Xu, Zihan Xiao, Jiaze Li +4

We introduce TimeViper, a hybrid vision-language model designed to tackle challenges of long video understanding. Processing long videos demands both an efficient model architectur…

cs.CV2025

REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding

Jiaze Li, Hao Yin, Wenhui Tan +7

Self-reflection mechanisms that rely on purely text-based rethinking processes perform well in most multimodal tasks. However, when directly applied to long-form video understandin…