Takayuki Okatani

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Tohoku University

Professor, Perception information processing/intelligent robotics(Computer Vision) at Tohoku University

How Can CNNs Use Image Position for Segmentation?

Convolution is an equivariant operation, and image position does not aff...
05/07/2020 ∙ by Rito Murase, et al. ∙ 0 ∙ share

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Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog

It has been a primary concern in recent studies of vision and language t...
11/26/2019 ∙ by Van-Quang Nguyen, et al. ∙ 28 ∙ share

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Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method

In this paper, we consider adversarial attacks against a system of monoc...
11/20/2019 ∙ by Junjie Hu, et al. ∙ 0 ∙ share

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Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors

The employment of convolutional neural networks has led to significant p...
10/21/2019 ∙ by Yusuke Hosoya, et al. ∙ 13 ∙ share

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Joint Learning of Multiple Image Restoration Tasks

Convolutional neural networks have recently been successfully applied to...
07/10/2019 ∙ by Xing Liu, et al. ∙ 4 ∙ share

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Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences

Owing to the advancement of deep learning, artificial systems are now ri...
05/30/2019 ∙ by Xing Liu, et al. ∙ 0 ∙ share

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Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

The ability of detecting out-of-distribution (OOD) samples is important ...
05/25/2019 ∙ by Engkarat Techapanurak, et al. ∙ 0 ∙ share

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Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment

We address a problem of estimating pose of a person's head from its RGB ...
05/14/2019 ∙ by Mingzhen Shao, et al. ∙ 0 ∙ share

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Visualization of Convolutional Neural Networks for Monocular Depth Estimation

Recently, convolutional neural networks (CNNs) have shown great success ...
04/06/2019 ∙ by Junjie Hu, et al. ∙ 17 ∙ share

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Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

In this paper, we study design of deep neural networks for tasks of imag...
03/21/2019 ∙ by Xing Liu, et al. ∙ 2 ∙ share

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Toward Explainable Fashion Recommendation

Many studies have been conducted so far to build systems for recommendin...
01/15/2019 ∙ by Pongsate Tangseng, et al. ∙ 0 ∙ share

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Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

Many studies have been conducted so far on image restoration, the proble...
12/03/2018 ∙ by Masanori Suganuma, et al. ∙ 0 ∙ share

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Multi-task Learning of Hierarchical Vision-Language Representation

It is still challenging to build an AI system that can perform tasks tha...
12/03/2018 ∙ by Duy-Kien Nguyen, et al. ∙ 0 ∙ share

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Recommending Outfits from Personal Closet

We consider grading a fashion outfit for recommendation, where we assume...
04/26/2018 ∙ by Pongsate Tangseng, et al. ∙ 0 ∙ share

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Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering

A key solution to visual question answering (VQA) exists in how to fuse ...
04/03/2018 ∙ by Duy-Kien Nguyen, et al. ∙ 0 ∙ share

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Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries

We revisit the problem of estimating depth of a scene from its single RG...
03/23/2018 ∙ by Junjie Hu, et al. ∙ 4 ∙ share

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Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search

Researchers have applied deep neural networks to image restoration tasks...
03/01/2018 ∙ by Masanori Suganuma, et al. ∙ 0 ∙ share

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Deep Structured Energy-Based Image Inpainting

In this paper, we propose a structured image inpainting method employing...
01/24/2018 ∙ by Fazil Altinel, et al. ∙ 0 ∙ share

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A vision based system for underwater docking

Autonomous underwater vehicles (AUVs) have been deployed for underwater ...
12/12/2017 ∙ by Shuang Liu, et al. ∙ 0 ∙ share

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HyperNetworks with statistical filtering for defending adversarial examples

Deep learning algorithms have been known to be vulnerable to adversarial...
11/06/2017 ∙ by Zhun Sun, et al. ∙ 0 ∙ share

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End-to-end learning potentials for structured attribute prediction

We present a structured inference approach in deep neural networks for m...
08/06/2017 ∙ by Kota Yamaguchi, et al. ∙ 0 ∙ share

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Linear Discriminant Generative Adversarial Networks

We develop a novel method for training of GANs for unsupervised and clas...
07/25/2017 ∙ by Zhun Sun, et al. ∙ 0 ∙ share

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Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs

In this work, we address the problem of improvement of robustness of fea...
07/25/2017 ∙ by Zhun Sun, et al. ∙ 0 ∙ share

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Information Potential Auto-Encoders

In this paper, we suggest a framework to make use of mutual information ...
06/14/2017 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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Truncating Wide Networks using Binary Tree Architectures

Recent study shows that a wide deep network can obtain accuracy comparab...
04/03/2017 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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Optimization on Product Submanifolds of Convolution Kernels

Recent advances in optimization methods used for training convolutional ...
01/22/2017 ∙ by Mete Ozay, et al. ∙ 0 ∙ share

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Self-calibration-based Approach to Critical Motion Sequences of Rolling-shutter Structure from Motion

In this paper we consider critical motion sequences (CMSs) of rolling-sh...
11/16/2016 ∙ by Eisuke Ito, et al. ∙ 0 ∙ share

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Optimization on Submanifolds of Convolution Kernels in CNNs

Kernel normalization methods have been employed to improve robustness of...
10/22/2016 ∙ by Mete Ozay, et al. ∙ 0 ∙ share

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Automatic Attribute Discovery with Neural Activations

How can a machine learn to recognize visual attributes emerging out of o...
07/25/2016 ∙ by Sirion Vittayakorn, et al. ∙ 0 ∙ share

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Design of Kernels in Convolutional Neural Networks for Image Classification

Despite the effectiveness of Convolutional Neural Networks (CNNs) for im...
11/30/2015 ∙ by Zhun Sun, et al. ∙ 0 ∙ share

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Takayuki Okatani

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