Search Results for author:
Found 7 papers, 4 papers with code
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
Machine learning research, crucial for technological advancements and innovation, often faces significant challenges due to its inherent complexity, slow pace of experimentation, and the necessity for specialized expertise.
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
We show that: (1) our evaluation framework with GPT-4 (or Claude) as the backbone model achieves a high correlation with human evaluations on the IQA task; (2) assigning personas to LEA to better represent the crowd further significantly improves correlations.
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
We utilize this model to investigate the potential of k-space-based diagnosis in cardiac MRI.
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
Video-based Human-Object Interaction (HOI) recognition explores the intricate dynamics between humans and objects, which are essential for a comprehensive understanding of human behavior and intentions.
Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System
The coronavirus disease 2019 (COVID-19) continues to have a negative impact on healthcare systems around the world, though the vaccines have been developed and national vaccination coverage rate is steadily increasing.
Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding
Trajectory prediction of road users in real-world scenarios is challenging because their movement patterns are stochastic and complex.
Ranked #1 on
Trajectory Prediction
on SDD
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling
After that, we fully incorporate information of different linguistic units into a bilinear semantic similarity model.
