32 citations · 55 across the 17 of their papers we have counts for
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cs.CV2026
Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs
Yunheng Li, Guohong Mu, Hao Li +4
Multimodal large language models (MLLMs) have become a prevailing paradigm for unified video perception. However, post-training on large multi-task datasets remains challenging, as…
cs.CV2026
P2Fusion: Prompt-based Progressive Infrared-Visible Image Fusion via Dual-Prior Distillation
Yi Shi, Huichao Xie, Yuqing Wang +7
Infrared-visible image fusion (IVIF) is pivotal for multimodal perception, yet reconciling the inherent information disparity between thermal and textural features remains a fundam…
cs.CV2026
UniRef-UAV: A Multimodal Benchmark for Universal Referring in UAV Imagery
Haibin Tian, Huichao Xie, Xuelin Qian +3
Unmanned aerial vehicles (UAVs) increasingly rely on visual grounding capabilities to localize task-relevant targets from diverse instructions in complex aerial scenes. Existing re…