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cs.CV2026
FoRIS: Progressive Foreground Refinement for Training-Free In-Context Segmentation
Ming Hu, Jianfu Yin, Mingyu Dou +5
In-Context Segmentation (ICS) aims to precisely segment arbitrary semantic concepts, such as objects or parts, given one or a few annotated visual exemplars. In this paper, we revi…
cs.CV2026
WhereEdit: Mask-aware Local Latent Editing for One-Step Image Editing
Ming Hu, Mingyu Dou, Jianfu Yin +5
Recent one-step text-to-image (T2I) models enable efficient image synthesis and provide new opportunities for real-time image editing. However, existing one-step editing methods pr…
cs.CV2026
FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
Ming Hu, Yongsheng Huo, Mingyu Dou +6
Fine-grained anomaly detection is crucial in industrial and medical applications, but labeled anomalies are often scarce, making zero-shot detection challenging. While vision-langu…