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Found 8 papers, 5 papers with code
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.
Synthesizing New Retinal Symptom Images by Multiple Generative Models
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal disease which may result in loss of vision.
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding
Performing driving behaviors based on causal reasoning is essential to ensure driving safety.
Learning Heat Diffusion for Network Alignment
EDNA uses the diffusion signal as a proxy for computing node similarities between networks.
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
To train and validate the effectiveness of our DNN-based module, we propose a large-scale retinal disease image dataset.
VLG-Net: Video-Language Graph Matching Network for Video Grounding
Grounding language queries in videos aims at identifying the time interval (or moment) semantically relevant to a language query.
Ranked #1 on
Natural Language Moment Retrieval
on DiDeMo
IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems
However, it remains challenging to model hidden non-observable control variables governing switching between different dynamical regimes.
