26 citations · 50 across the 18 of their papers we have counts for
9 papers · 1 filter
Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation
Akio Hayakawa, Yusuke Mukuta, Tatsuya Harada
We propose LF-MultiDiffusion, a training-free panorama generation method that extends MultiDiffusion to support linear projections between target and reference image spaces. Our ke…
DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering
Toshiki Katsube, Taiga Fukuhara, Kenichiro Ando +3
This work addresses the scarcity of high-quality, large-scale resources for Japanese Vision-and-Language (V&L) modeling. We present a scalable and reproducible pipeline that integr…
Style-NeRF2NeRF: 3D Style Transfer From Style-Aligned Multi-View Images
Haruo Fujiwara, Yusuke Mukuta, Tatsuya Harada
We propose a simple yet effective pipeline for stylizing a 3D scene, harnessing the power of 2D image diffusion models. Given a NeRF model reconstructed from a set of multi-view im…
Fully Spiking Denoising Diffusion Implicit Models
Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada
Spiking neural networks (SNNs) have garnered considerable attention owing to their ability to run on neuromorphic devices with super-high speeds and remarkable energy efficiencies.…
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta +7
Pathological image analysis is an important process for detecting abnormalities such as cancer from cell images. However, since the image size is generally very large, the cost of…
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta, Tatsuya Harada
This paper proposes a method to construct pretext tasks for self-supervised learning on group equivariant neural networks. Group equivariant neural networks are the models whose st…
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition
Kohei Uehara, Tatsuya Harada
Visual Question Generation (VQG) is a task to generate questions from images. When humans ask questions about an image, their goal is often to acquire some new knowledge. However,…
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
Kohei Uehara, Yusuke Mori, Yusuke Mukuta +1
Image narrative generation is a task to create a story from an image with a subjective viewpoint. Given the importance of the subjective feelings of writers, readers, and character…
Invariant Feature Coding using Tensor Product Representation
Yusuke Mukuta, Tatsuya Harada
In this study, a novel feature coding method that exploits invariance for transformations represented by a finite group of orthogonal matrices is proposed. We prove that the group-…