1.5k citations · 2.1k across the 48 of their papers we have counts for
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Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu, Kiyoharu Aizawa
Since deep learning models have been implemented in many commercial applications, it is important to detect out-of-distribution (OOD) inputs correctly to maintain the performance o…
Object-Aware Instance Labeling for Weakly Supervised Object Detection
Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa
Weakly supervised object detection (WSOD), where a detector is trained with only image-level annotations, is attracting more and more attention. As a method to obtain a well-perfor…
TriDepth: Triangular Patch-based Deep Depth Prediction
Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa
We propose a novel and efficient representation for single-view depth estimation using Convolutional Neural Networks (CNNs). Point-cloud is generally used for CNN-based 3D scene re…
Computational Attention System for Children, Adults and Elderly
Onkar Krishna, Kiyoharu Aizawa, Go Irie
The existing computational visual attention systems have focused on the objective to basically simulate and understand the concept of visual attention system in adults. Consequentl…
Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant
Masashi Anzawa, Sosuke Amano, Yoko Yamakata +3
We investigate image recognition of multiple food items in a single photo, focusing on a buffet restaurant application, where menu changes at every meal, and only a few images per…