5 papers
Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval
Lin Jiang, Qingshan She, Jiale Xu +3
Decoding visual content from electroencephalography (EEG) is important for understanding neural visual representations and developing non-invasive brain-computer interfaces. Existi…
Clinical-Prior Guided Multi-Modal Learning with Latent Attention Pooling for Gait-Based Scoliosis Screening
Dong Chen, Zizhuang Wei, Jialei Xu +6
Adolescent Idiopathic Scoliosis (AIS) is a prevalent spinal deformity whose progression can be mitigated through early detection. Conventional screening methods are often subjectiv…
Token Entropy Regularization for Multi-modal Antenna Affiliation Identification
Dong Chen, Ruoyu Li, Xinyan Zhang +5
Accurate antenna affiliation identification is crucial for optimizing and maintaining communication networks. Current practice, however, relies on the cumbersome and error-prone pr…
SpaceMind: Camera-Guided Modality Fusion for Spatial Reasoning in Vision-Language Models
Ruosen Zhao, Zhikang Zhang, Jialei Xu +5
Large vision-language models (VLMs) show strong multimodal understanding but still struggle with 3D spatial reasoning, such as distance estimation, size comparison, and cross-view…
CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios
Jialei Xu, Zizhuang Wei, Weikang You +2
Semantic segmentation of city-scale point clouds is a critical technology for Unmanned Aerial Vehicle (UAV) perception systems, enabling the classification of 3D points without rel…