5 papers · 1 filter
LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling
Zhihan Zhang, Xiang Pan, Hongchen Wei +1
Structural pruning techniques are essential for deploying multimodal large language models (MLLMs) across various hardware platforms, from edge devices to cloud servers. However, c…
RSFAKE-1M: A Large-Scale Dataset for Detecting Diffusion-Generated Remote Sensing Forgeries
Zhihong Tan, Jiayi Wang, Huiying Shi +3
Detecting forged remote sensing images is becoming increasingly critical, as such imagery plays a vital role in environmental monitoring, urban planning, and national security. Whi…
Training-Free Reasoning and Reflection in MLLMs
Hongchen Wei, Zhenzhong Chen
Recent advances in Reasoning LLMs (e.g., DeepSeek-R1 and OpenAI-o1) have showcased impressive reasoning capabilities via reinforcement learning. However, extending these capabiliti…
LongCaptioning: Unlocking the Power of Long Video Caption Generation in Large Multimodal Models
Hongchen Wei, Zhihong Tan, Yaosi Hu +2
Large Multimodal Models (LMMs) have demonstrated exceptional performance in video captioning tasks, particularly for short videos. However, as the length of the video increases, ge…
Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model
Huiying Shi, Zhihong Tan, Zhihan Zhang +4
The complexity of scenes and variations in image quality result in significant variability in the performance of semantic segmentation methods of remote sensing imagery (RSI) in su…