13 citations · 51 across the 20 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
Video-IFBench: Evaluating Instruction Following of Multimodal LLMs in Video Understanding Scenarios
Hongbo Liu, Peixian Chen, Sihan Liu +12
Multimodal Large Language Models (MLLMs) have shown strong performance in video understanding. However, their ability to follow instructions in this domain remains under-explored.…
cs.CV2026
STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs
Ye Wang, Hongjun Wang, Hao Fang +7
Unified multimodal models (UMMs) aim to integrate visual understanding and generation within a single architecture, but architectural unification alone does not ensure semantic con…
cs.CV2026
OmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial Mapping
Xudong Li, Mengdan Zhang, Peixian Chen +7
Spatial intelligence remains a persistent challenge for Multimodal Large Language Models (MLLMs), as it requires coherent spatial scene representations beyond basic object recognit…