1.5k citations · 2.1k across the 48 of their papers we have counts for
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Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features
Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classification networks have proved to perform well in those tasks.…
PQk-means: Billion-scale Clustering for Product-quantized Codes
Yusuke Matsui, Keisuke Ogaki, Toshihiko Yamasaki +1
Data clustering is a fundamental operation in data analysis. For handling large-scale data, the standard k-means clustering method is not only slow, but also memory-inefficient. We…
cGAN-based Manga Colorization Using a Single Training Image
Paulina Hensman, Kiyoharu Aizawa
The Japanese comic format known as Manga is popular all over the world. It is traditionally produced in black and white, and colorization is time consuming and costly. Automatic co…
Gaze Distribution Analysis and Saliency Prediction Across Age Groups
Onkar Krishna, Kiyoharu Aizawa, Andrea Helo +1
Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention sys…
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa
We propose the residual expansion (RE) algorithm: a global (or near-global) optimization method for nonconvex least squares problems. Unlike most existing nonconvex optimization te…
PQTable: Non-exhaustive Fast Search for Product-quantized Codes using Hash Tables
Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa
In this paper, we propose a product quantization table (PQTable); a fast search method for product-quantized codes via hash-tables. An identifier of each database vector is associa…