Search Results for author:
Found 7 papers, 5 papers with code
JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation
Automated radiology report generation aims to generate paragraphs that describe fine-grained visual differences among cases, especially those between the normal and the diseased.
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Our goal is to develop fine-grained real-image editing methods suitable for real-world applications.
Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics
Autonomous navigation in highly populated areas remains a challenging task for robots because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured situations.
A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis
To tackle this problem, this paper presents a semi-supervised model with a mean teacher framework to leverage additional unlabeled data.
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
Moreover, our simple and general proposed method to calculate influence scores is available on our auto ML tool without programing, Neural Network Console.
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives
While there exist a plethora of deep learning tools and frameworks, the fast-growing complexity of the field brings new demands and challenges, such as more flexible network design, speedy computation on distributed setting, and compatibility between different tools.
Facial movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision
We quantified the co-occurrence and timing of AU6 and AU12 in posed and spontaneous smiles using the human-coded labels, and for comparison, using the continuous CV-labels.
