Search Results for author:
Found 12 papers, 3 papers with code
FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
To solve this problem, we present FontCLIP: a model that connects the semantic understanding of a large vision-language model with typographical knowledge.
MicroGlam: Microscopic Skin Image Dataset with Cosmetics
We repeated the process for the same skin patch under three cosmetic products.
Efficient Human-in-the-loop System for Guiding DNNs Attention
Attention guidance is an approach to addressing dataset bias in deep learning, where the model relies on incorrect features to make decisions.
AutoPoly: Predicting a Polygonal Mesh Construction Sequence from a Silhouette Image
The key idea of our method is the use of the Monte Carlo tree search (MCTS) algorithm and differentiable rendering to separately predict sequential topological actions and geometric actions.
Per Garment Capture and Synthesis for Real-time Virtual Try-on
Furthermore, we proposed to use a custom-designed measurement garment, and we captured paired images of the measurement garment and the target garments.
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
Whole-brain surface extraction is an essential topic in medical imaging systems as it provides neurosurgeons with a broader view of surgical planning and abnormality detection.
Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
How to handle gender with machine learning is a controversial topic.
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms
In this study, we offer a two-step surface-based deep learning pipeline that achieves significantly higher performance.
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
In this paper, instead of 2D medical images, we introduce an open-access 3D intracranial aneurysm dataset, IntrA, that makes the application of points-based and mesh-based classification and segmentation models available.
Computational Design with Crowds
One promising approach is to leverage human computation; that is, to incorporate human input into the computation process.
Interactive Optimization of Generative Image Modeling using Sequential Subspace Search and Content-based Guidance
We present a human-in-the-optimization method that allows users to directly explore and search the latent vector space of generative image modeling.
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
Deep neural networks (DNNs) have a high accuracy on image classification tasks.
