1.5k citations · 2.1k across the 48 of their papers we have counts for
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Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
Junjun Jiang, Yi Yu, Suhua Tang +3
Face hallucination is a technique that reconstruct high-resolution (HR) faces from low-resolution (LR) faces, by using the prior knowledge learned from HR/LR face pairs. Most state…
Scale Drift Correction of Camera Geo-Localization using Geo-Tagged Images
Kazuya Iwami, Satoshi Ikehata, Kiyoharu Aizawa
Camera geo-localization from a monocular video is a fundamental task for video analysis and autonomous navigation. Although 3D reconstruction is a key technique to obtain camera po…
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data
Yi Yu, Suhua Tang, Kiyoharu Aizawa +1
In this work, travel destination and business location are taken as venues. Discovering a venue by a photo is very important for context-aware applications. Unfortunately, few effo…
Personalized Classifier for Food Image Recognition
Shota Horiguchi, Sosuke Amano, Makoto Ogawa +1
Currently, food image recognition tasks are evaluated against fixed datasets. However, in real-world conditions, there are cases in which the number of samples in each class contin…
Parallel Grid Pooling for Data Augmentation
Akito Takeki, Daiki Ikami, Go Irie +1
Convolutional neural network (CNN) architectures utilize downsampling layers, which restrict the subsequent layers to learn spatially invariant features while reducing computationa…
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki +1
Can we detect common objects in a variety of image domains without instance-level annotations? In this paper, we present a framework for a novel task, cross-domain weakly supervise…
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki +1
Deep neural networks (DNNs) trained on large-scale datasets have exhibited significant performance in image classification. Many large-scale datasets are collected from websites, h…
Object Detection for Comics using Manga109 Annotations
Toru Ogawa, Atsushi Otsubo, Rei Narita +3
With the growth of digitized comics, image understanding techniques are becoming important. In this paper, we focus on object detection, which is a fundamental task of image unders…