All Research Papers Published In Image and Vision Computing

UCPNet: An Ultra-Lightweight Cross-Perception Network for Real-Time Semantic Segmentation

A survey on dynamic neural networks: From computer vision to multi-modal sensor fusion

CSUnetr: Cross-scale attention based U-Net transformers for whole-brain segmentation with targeted hippocampal analysis in brain MR images

TABNet: A Triplet Augmentation Self-recovery framework with Boundary-aware Pseudo-labels for scribble-based medical image segmentation

Non-target information also matters: InverseFormer tracker for single object tracking

STIFormer: RGB-T tracking via Spatial–Temporal Interaction Transformer

Sarah: Hallucination detection for large vision language models with semantic information locator and purifier in uncertainty quantification method

Decomposed global optimization for robust point matching with low-dimensional branching

MSENet: High efficiency video compression via Multivariate Spatiotemporal Entropy Network

Distributed quantum model learning for traffic density estimation