In computation pathology, the pyramid structure of gigapixel Whole Slide...
We present ImageBind-LLM, a multi-modality instruction tuning method of ...
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
Recently, video object segmentation (VOS) referred by multi-modal signal...
Driven by large-data pre-training, Segment Anything Model (SAM) has been...
Understanding 3D scenes from multi-view inputs has been proven to allevi...
Performances on standard 3D point cloud benchmarks have plateaued, resul...
Masked Autoencoders (MAE) have shown promising performance in self-super...
Contrastive Language-Image Pre-training (CLIP) has been shown to learn v...
Besides image classification, Contrastive Language-Image Pre-training (C...
Masked Autoencoders (MAE) have shown great potentials in self-supervised...
Monocular 3D object detection has long been a challenging task in autono...
Recently, zero-shot and few-shot learning via Contrastive Vision-Languag...
Point cloud processing is a challenging task due to its sparsity and
irr...
Mitral valve repair is a very difficult operation, often requiring
exper...