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Found 15 papers, 3 papers with code
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
This challenge leads to necessitate extensive training data in many deep learning reconstruction methods.
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
In this work, we present HuixiangDou, a technical assistant powered by Large Language Models (LLM).
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction
Magnetic resonance imaging (MRI) plays an important role in modern medical diagnostic but suffers from prolonged scan time.
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
Before sending to LLM, the reference is replaced by RoI features and interleaved with language embeddings as a sequence.
Ranked #1 on
Visual Question Answering (VQA)
on VCR (Q-AR) test
CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization
Therefore, we propose a novel Coarse-to-Fine contribution network for multimodal Summarization (CFSum) to consider different contributions of images for summarization.
STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph
Chinese idioms (Cheng Yu) have seen five thousand years{'} history and culture of China, meanwhile they contain large number of scientific achievement of ancient China.
A Novel Two-Step Method for Cross Language Representation Learning
In this paper, we propose a two-step representation learning method to bridge the feature spaces of different languages by exploiting a set of parallel bilingual documents.
