Takayoshi Yamashita | DeepAI

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Featured Co-authors

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∙ 06/04/2023

Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher

Visual explanation is an approach for visualizing the grounds of judgmen...

9 Kohei Hattori, et al. ∙

∙ 04/13/2023

PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds

3D object detection has become indispensable in the field of autonomous ...

0 Yucheng Zhang, et al. ∙

∙ 03/30/2023

Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under ManhattanWorld AssumptionWithout Ambiguity

In orthogonal world coordinates, a Manhattan world lying along cuboid bu...

0 Nobuhiko Wakai, et al. ∙

∙ 02/16/2023

Masking and Mixing Adversarial Training

While convolutional neural networks (CNNs) have achieved excellent perfo...

5 Hiroki Adachi, et al. ∙

∙ 09/12/2022

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes

Data augmentation is an essential technique for improving recognition ac...

23 Shungo Fujii, et al. ∙

∙ 08/31/2022

Few-shot Adaptive Object Detection with Cross-Domain CutMix

In object detection, data amount and cost are a trade-off, and collectin...

22 Yuzuru Nakamura, et al. ∙

∙ 08/18/2022

Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch

Robot navigation with deep reinforcement learning (RL) achieves higher p...

0 Yuya Maruyama, et al. ∙

∙ 05/11/2022

Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net

Color images are easy to understand visually and can acquire a great dea...

10 Risako Tanigawa, et al. ∙

∙ 04/15/2022

Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder

In action understanding in indoor, we have to recognize human pose and a...

7 Risako Tanigawa, et al. ∙

∙ 11/25/2021

Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion

Although recent learning-based calibration methods can predict extrinsic...

12 Nobuhiko Wakai, et al. ∙

∙ 10/29/2021

ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition

It is difficult for people to interpret the decision-making in the infer...

3 Masahiro Mitsuhara, et al. ∙

∙ 07/16/2021

CutDepth:Edge-aware Data Augmentation in Depth Estimation

It is difficult to collect data on a large scale in a monocular depth es...

8 Yasunori Ishii, et al. ∙

∙ 03/27/2021

Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification

Mutual learning, in which multiple networks learn by sharing their knowl...

11 Naoki Okamoto, et al. ∙

∙ 03/06/2021

Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning

Deep reinforcement learning (DRL) has great potential for acquiring the ...

32 Hidenori Itaya, et al. ∙

∙ 02/12/2021

Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations

Placing objects is a fundamental task for domestic service robots (DSRs)...

11 Aly Magassouba, et al. ∙

∙ 07/09/2020

Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network

Domestic service robots (DSRs) are a promising solution to the shortage ...

0 Tadashi Ogura, et al. ∙

∙ 09/10/2019

Knowledge Transfer Graph for Deep Collaborative Learning

We propose Deep Collaborative Learning (DCL), which is a method that inc...

0 Soma Minami, et al. ∙

∙ 05/09/2019

Embedding Human Knowledge in Deep Neural Network via Attention Map

Human-in-the-loop (HITL), which introduces human knowledge to machine le...

0 Masahiro Mitsuhara, et al. ∙

∙ 12/25/2018

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

Visual explanation enables human to understand the decision making of De...

24 Hiroshi Fukui, et al. ∙

∙ 11/01/2018

Survey on Vision-based Path Prediction

Path prediction is a fundamental task for estimating how pedestrians or ...

6 Tsubasa Hirakawa, et al. ∙

∙ 10/30/2017

Denoising random forests

This paper proposes a novel type of random forests called a denoising ra...

0 Masaya Hibino, et al. ∙

∙ 09/14/2017

Binary-decomposed DCNN for accelerating computation and compressing model without retraining

Recent trends show recognition accuracy increasing even more profoundly....

0 Ryuji Kamiya, et al. ∙