1 citations · 1 across the 3 of their papers we have counts for
6 papers
STP-GUI: Spatially-Aware Token Pruning for Efficient Web-GUI Agents
Shuo Wang, Sifan Zhou, Xiaobo Wang +6
With the rapid development of vision-language models (VLMs), Web-GUI agents have achieved promising performance in interacting with real-world interfaces through screenshot-based g…
FlashGaze: Training-Free Multi-Scale Patch Pruning For Efficient Video Understanding
Ziye Zhu, Yanghao Zhou, Lixing Tan +3
Multimodal Large Language Models (MLLMs) have demonstrated strong performance in video understanding, yet efficiently processing long, high-resolution videos remains challenging. S…
ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding
Jialiang Kang, Han Shu, Wenshuo Li +2
Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexp…
Enhancing Linear Attention with Residual Learning
Xunhao Lai, Jialiang Kang, Jianqiao Lu +2
Linear attention offers a linear-time alternative to self-attention but often struggles to capture long-range patterns. We revisit linear attention through a prediction-correction…
Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation
Jialiang Kang, Jiawen Wang, Dingsheng Luo
Semantic segmentation of 3D LiDAR data plays a pivotal role in autonomous driving. Traditional approaches rely on extensive annotated data for point cloud analysis, incurring high…
Improvement and Enhancement of YOLOv5 Small Target Recognition Based on Multi-module Optimization
Qingyang Li, Yuchen Li, Hongyi Duan +4
In this paper, the limitations of YOLOv5s model on small target detection task are deeply studied and improved. The performance of the model is successfully enhanced by introducing…