LoGra-Med: Long context multi-graph alignment for medical vision-language model
State-of-the-art medical multi-modal large language models (med-MLLM), like LLaVA-Med
or BioMedGPT, leverage instruction-following data in pre-training. However, those models …
or BioMedGPT, leverage instruction-following data in pre-training. However, those models …
Wormhole loss for partial shape matching
When matching parts of a surface to its whole, a fundamental question arises: Which points
should be included in the matching process? The issue is intensified when using isometry to …
should be included in the matching process? The issue is intensified when using isometry to …
Synchronous Diffusion for Unsupervised Smooth Non-rigid 3D Shape Matching
Most recent unsupervised non-rigid 3D shape matching methods are based on the
functional map framework due to its efficiency and superior performance. Nevertheless …
functional map framework due to its efficiency and superior performance. Nevertheless …
Beyond Complete Shapes: A quantitative Evaluation of 3D Shape Matching Algorithms
Finding correspondences between 3D shapes is an important and long-standing problem in
computer vision, graphics and beyond. While approaches based on machine learning …
computer vision, graphics and beyond. While approaches based on machine learning …
LoGra-Med: Long-Context Multi-Graph Alignment for Medical Visual-Language Models
DMH Nguyen, NT Diep, TQ Nguyen, BH Le, T Nguyen… - openreview.net
State-of-the-art medical multi-modal large language models (med-MLLM), such as LLAVA-
MED or BIOMEDGPT, leverage instruction-following data in their pre-training stages …
MED or BIOMEDGPT, leverage instruction-following data in their pre-training stages …