Transmission towers are fundamental components of electric power networks. However, their structure, scale and background textures vary substantially across remote sensing images acquired from different geographic regions. These discrepancies often r...
Historical digital personas are a promising means of interactive and personalized access to cultural heritage; however, their practical deployment requires simultaneous control over factual accuracy, source provenance, persona consistency, and multim...
Small objects in UAV imagery often exhibit weak visual representations, suffer from background clutter, and receive insufficient cross-scale feature interaction. To address these challenges, we develop MCI-DETR, a multi-level contextual interaction d...
Remaining Useful Life (RUL) prediction for aircraft engines is a critical task in prognostics and health management, aiming to extract degradation information from multi-sensor operational data to support maintenance scheduling and operational risk m...
Vision–Language Navigation (VLN) requires embodied agents to interpret natural-language instructions in 3D environments. While significant progress has been made, state-of-the-art agents often struggle with instructions that demand fine-grained...
Recent studies increasingly leverage pre-trained language models (PLMs) for patent relevance assessment. In practice, whether a query patent and the candidate patent share the technical domain is a critical factor in relevance assessment. Existing PL...
Images captured by vision sensors provide visual evidence for scene understanding, including object appearances, pixel-level regions, and spatial relations among entities. Panoptic Scene Graph Generation (PSG) constructs structured scene representati...
Remote sensing visual question answering (RS-VQA) is essential to intelligent Earth observation, as it supports interactive querying of high-resolution aerial images. Many existing methods struggle with fine-detail geospatial reasoning with remote se...
Indoor service and inspection robots need environment knowledge that is queryable, reliable, and maintainable as the site changes, yet open-vocabulary 3D pipelines propagate unverified labels downstream and build-once scene models offer no maintenanc...
Large volumes of images shared on social media have made image captioning an important tool for social hotspot identification and public opinion monitoring, where accurate visual–language alignment is essential for reliable analysis. However, e...
End-to-end (E2E) autonomous driving integrates perception, prediction, and planning, yet often lacks explicit supervision for high-level driving semantics. We propose Task-Decomposed Language Supervision (TaLS), a training-only framework that organiz...
Visible and synthetic aperture radar (SAR) sensors provide heterogeneous yet complementary observations for remote-sensing object detection. However, effective multimodal sensing fusion remains challenging because SAR features may contain locally uns...