4 papers
Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
Jun Ma, Xu Zhang, Zhengxing Jiao +4
Language-Assisted Image Clustering (LAIC) augments the input images with additional texts with the help of vision-language models (VLMs) to promote clustering performance. Despite…
Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection
Xu Zhang, Zhe Chen, Jing Zhang +1
Most referring object detection (ROD) models, especially the modern grounding detectors, are designed for data-rich conditions, yet many practical deployments, such as robotics, au…
Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensing
Xu Zhang, Jiabin Fang, Zhuoming Ding +4
Recent advances in image understanding have enabled methods that leverage large language models for multimodal reasoning in remote sensing. However, existing approaches still strug…
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Xu Zhang, Jin Yuan, Hanwang Zhang +4
Controllable image semantic understanding tasks, such as captioning or segmentation, necessitate users to input a prompt (e.g., text or bounding boxes) to predict a unique outcome,…