7 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
RulerNet: Learning Perspective-Invariant Ruler Representations for Robust Image Scale Estimation
Yimu Pan, Manas Mehta, Gwen Sincerbeaux +3
Accurately converting pixel measurements into absolute real-world dimensions remains a fundamental challenge in computer vision, limiting progress in applications such as biomedici…
VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis
Manas Mehta, Yimu Pan, Kelly Gallagher +5
Pathological examination of the placenta is an effective method for detecting and mitigating health risks associated with childbirth. Recent advancements in AI have enabled the use…
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
Yimu Pan, Sitao Zhang, Alison D. Gernand +2
Robustness and generalizability in medical image segmentation are often hindered by scarcity and limited diversity of training data, which stands in contrast to the variability enc…
AI-SAM: Automatic and Interactive Segment Anything Model
Yimu Pan, Sitao Zhang, Alison D. Gernand +2
Semantic segmentation is a core task in computer vision. Existing methods are generally divided into two categories: automatic and interactive. Interactive approaches, exemplified…