39 citations · 103 across the 20 of their papers we have counts for
20 papers
EvIcon: Designing High-Usability Icon with Human-in-the-loop Exploration and IconCLIP
I-Chao Shen, Fu-Yin Cherng, Takeo Igarashi +2
Interface icons are prevalent in various digital applications. Due to limited time and budgets, many designers rely on informal evaluation, which often results in poor usability ic…
DualMotion: Global-to-Local Casual Motion Design for Character Animations
Yichen Peng, Chunqi Zhao, Haoran Xie +3
Animating 3D characters using motion capture data requires basic expertise and manual labor. To support the creativity of animation design and make it easier for common users, we p…
Efficient Human-in-the-loop System for Guiding DNNs Attention
Yi He, Xi Yang, Chia-Ming Chang +2
Attention guidance is an approach to addressing dataset bias in deep learning, where the model relies on incorrect features to make decisions. Focusing on image classification task…
AutoPoly: Predicting a Polygonal Mesh Construction Sequence from a Silhouette Image
I-Chao Shen, Yu Ju Chen, Oliver van Kaick +1
Polygonal modeling is a core task of content creation in Computer Graphics. The complexity of modeling, in terms of the number and the order of operations and time required to exec…
Per Garment Capture and Synthesis for Real-time Virtual Try-on
Toby Chong, I-Chao Shen, Nobuyuki Umetani +1
Virtual try-on is a promising application of computer graphics and human computer interaction that can have a profound real-world impact especially during this pandemic. Existing i…
Guided Optimization for Image Processing Pipelines
Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato +2
Writing high-performance image processing code is challenging and labor-intensive. The Halide programming language simplifies this task by decoupling high-level algorithms from "sc…
A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges
Christian Arzate Cruz, Takeo Igarashi
Interactive reinforcement learning (RL) has been successfully used in various applications in different fields, which has also motivated HCI researchers to contribute in this area.…
MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning
Christian Arzate Cruz, Takeo Igarashi
In this paper, we propose a generic framework that enables game developers without knowledge of machine learning to create bot behaviors with playstyles that align with their prefe…
Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors
Christian Arzate Cruz, Takeo Igarashi
Reinforcement learning techniques successfully generate convincing agent behaviors, but it is still difficult to tailor the behavior to align with a user's specific preferences. Wh…
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
Heng Fang, Xi Yang, Taichi Kin +1
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. To…
Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
Toby Chong, Nolwenn Maudet, Katsuki Harima +1
How to handle gender with machine learning is a controversial topic. A growing critical body of research brought attention to the numerous issues transgender communities face with…
Continuous Curve Textures
Peihan Tu, Li-Yi Wei, Koji Yatani +2
Repetitive patterns are ubiquitous in natural and human-made objects, and can be created with a variety of tools and methods. Manual authoring provides unmatched degree of freedom…
Generative Melody Composition with Human-in-the-Loop Bayesian Optimization
Yijun Zhou, Yuki Koyama, Masataka Goto +1
Deep generative models allow even novice composers to generate various melodies by sampling latent vectors. However, finding the desired melody is challenging since the latent spac…
A curvature and density-based generative representation of shapes
Zi Ye, Nobuyuki Umetani, Takeo Igarashi +1
This paper introduces a generative model for 3D surfaces based on a representation of shapes with mean curvature and metric, which are invariant under rigid transformation. Hence,…
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms
Xi Yang, Ding Xia, Taichi Kin +1
The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have been proposed for this segmentatio…
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang, Ding Xia, Taichi Kin +1
Medicine is an important application area for deep learning models. Research in this field is a combination of medical expertise and data science knowledge. In this paper, instead…
Computational Design with Crowds
Yuki Koyama, Takeo Igarashi
Computational design is aimed at supporting or automating design processes using computational techniques. However, some classes of design tasks involve criteria that are difficult…
Interactive Optimization of Generative Image Modeling using Sequential Subspace Search and Content-based Guidance
Toby Chong Long Hin, I-Chao Shen, Issei Sato +1
Generative image modeling techniques such as GAN demonstrate highly convincing image generation result. However, user interaction is often necessary to obtain the desired results.…
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
Xi Yang, Bojian Wu, Issei Sato +1
Deep neural networks (DNNs) have a high accuracy on image classification tasks. However, DNNs trained by such dataset with co-occurrence bias may rely on wrong features while makin…
TapDrag: An Alternative Dragging Technique on Medium-Sized MultiTouch Displays Reducing Skin Irritation and Arm Fatigue
Lasse Farnung Laursen, Hsiang-Ting Chen, Paulo Silva +2
Medium-sized touch displays, sized 30 to 50 inches, are becoming more affordable and more widely available. Prolonged use of such displays can result in arm fatigue or skin irritat…