4 papers
GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?
Qifeng Zhang, Kaixiang Huang, Heng Dong +6
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awarenes…
Diffusion-Based mmWave Radar Point Cloud Enhancement Driven by Range Images
Ruixin Wu, Zihan Li, Jin Wang +4
Millimeter-wave (mmWave) radar has attracted significant attention in robotics and autonomous driving. However, despite the perception stability in harsh environments, the point cl…
Bridging VLM and KMP: Enabling Fine-grained robotic manipulation via Semantic Keypoints Representation
Junjie Zhu, Huayu Liu, Jin Wang +5
From early Movement Primitive (MP) techniques to modern Vision-Language Models (VLMs), autonomous manipulation has remained a pivotal topic in robotics. As two extremes, VLM-based…
Morpho-Aware Global Attention for Image Matting
Jingru Yang, Chengzhi Cao, Chentianye Xu +4
Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) face inherent challenges in image matting, particularly in preserving fine structural details. ViTs, with their…