635 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chuo UniversityJP4 papers
- High Energy Accelerator Research OrganizationJP3 papers
- Ritsumeikan UniversityJP3 papers
- Tamagawa UniversityJP3 papers
- The University of OsakaJP3 papers
- Chiba UniversityJP2 papers
- Institute of Particle and Nuclear Studies2 papers
- Institute of Space and Astronautical ScienceJP2 papers
- Japan Aerospace Exploration AgencyJP2 papers
- Kanazawa UniversityJP2 papers
- Kyoto UniversityJP2 papers
- Nagoya UniversityJP2 papers
7 papers · 1 filter
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi
In this paper, we propose a new self-supervised learning (SSL) method for representations that enable logic operations. Representation learning has been applied to various tasks, s…
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption
Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii +1
A Manhattan world lying along cuboid buildings is useful for camera angle estimation. However, accurate and robust angle estimation from fisheye images in the Manhattan world has r…
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor
Masashi Okada, Shinji Takenaka, Tadahiro Taniguchi
It is an effective strategy for the multi-person pose tracking task in videos to employ prediction and pose matching in a frame-by-frame manner. For this type of approach, uncertai…
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi +2
Explaining predictions of deep neural networks (DNNs) is an important and nontrivial task. In this paper, we propose a practical approach to interpret decisions made by a DNN objec…
Person re-identification with fusion of hand-crafted and deep pose-based body region features
Jubin Johnson, Shunsuke Yasugi, Yoichi Sugino +2
Person re-identification (re-ID) aims to accurately re- trieve a person from a large-scale database of images cap- tured across multiple cameras. Existing works learn deep represen…
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion
Lin Xiong, Jayashree Karlekar, Jian Zhao +5
Unconstrained face recognition performance evaluations have traditionally focused on Labeled Faces in the Wild (LFW) dataset for imagery and the YouTubeFaces (YTF) dataset for vide…
Assessment of algorithms for mitosis detection in breast cancer histopathology images
Mitko Veta, Paul J. van Diest, Stefan M. Willems +26
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be on…