253 citations · 310 across the 24 of their papers we have counts for
7 papers · 2 filters
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
Takeru Suda, Masayuki Tanaka, Yusuke Monno +1
In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure…
Adaptive Future Frame Prediction with Ensemble Network
Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi +1
Future frame prediction in videos is a challenging problem because videos include complicated movements and large appearance changes. Learning-based future frame prediction approac…
Human Segmentation with Dynamic LiDAR Data
Tao Zhong, Wonjik Kim, Masayuki Tanaka +1
Consecutive LiDAR scans compose dynamic 3D sequences, which contain more abundant information than a single frame. Similar to the development history of image and video perception,…
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
Wonjik Kim, Asako Kanezaki, Masayuki Tanaka
The usage of convolutional neural networks (CNNs) for unsupervised image segmentation was investigated in this study. In the proposed approach, label prediction and network paramet…
Classifying degraded images over various levels of degradation
Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi
Classification for degraded images having various levels of degradation is very important in practical applications. This paper proposes a convolutional neural network to classify…
Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training
Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi +1
In this paper, we propose an automatic labeled sequential data generation pipeline for human segmentation and velocity estimation with point clouds. Considering the impact of deep…
Block-wise Scrambled Image Recognition Using Adaptation Network
Koki Madono, Masayuki Tanaka, Masaki Onishi +1
In this study, a perceptually hidden object-recognition method is investigated to generate secure images recognizable by humans but not machines. Hence, both the perceptual informa…