2 citations · 4 across the 6 of their papers we have counts for
6 papers
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
Katsuya Hotta, Chao Zhang, Yoshihiro Hagihara +1
Unsupervised anomaly localization aims to identify anomalous regions that deviate from normal sample patterns. Most recent methods perform feature matching or reconstruction for th…
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering
Katsuya Hotta, Takuya Akashi, Shogo Tokai +1
Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsup…
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
Yi Zhang, Chao Zhang, Takuya Akashi
We propose a novel multi-scale template matching method which is robust against both scaling and rotation in unconstrained environments. The key component behind is a similarity me…
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation
Takumi Nakane, Takuya Akashi, Xuequan Lu +1
We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity. As a classical problem, there is always a trade-off betw…
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data
Bold Naranchimeg, Chao Zhang, Takuya Akashi
In recent decade, many state-of-the-art algorithms on image classification as well as audio classification have achieved noticeable successes with the development of deep convoluti…
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry
Chao Zhang, Xuequan Lu, Takuya Akashi
Well-known corner or local extrema feature based detectors such as FAST and DoG have achieved noticeable successes. However, detecting keypoints in the presence of blur has remaine…