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20172026
most citedUnsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

253 citations · 310 across the 24 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020

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,…

eess.IV2020★ 5 cited

Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation

Miki Morimatsu, Yusuke Monno, Masayuki Tanaka +1

A division-of-focal-plane or microgrid image polarimeter enables us to acquire a set of polarization images in one shot. Since the polarimeter consists of an image sensor equipped…

cs.CV2020★ 253 cited

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…

cs.CV2020★ 1 cited

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…