Takayoshi Yamashita

According to our database, Takayoshi Yamashita authored at least 147 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Efficient Action Spotting Using Saliency Feature Weighting.

Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger

IEICE Trans. Inf. Syst., January, 2024

Learning Intra-class Multimodal Distributions with Orthonormal Matrices.

Jumpei Goto, Yohei Nakata, Kiyofumi Abe, Yasunori Ishii, Takayoshi Yamashita

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection.

Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning.

Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Action Quality Assessment Model Using Specialists' Gaze Location and Kinematics Data - Focusing on Evaluating Figure Skating Jumps.

Seiji Hirosawa, Takaaki Kato, Takayoshi Yamashita, Yoshimitsu Aoki

Sensors, November, 2023

Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers.

Suraj Prakash Pattar, Thomas Killus, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, Hironobu Fujiyoshi

Adv. Robotics, February, 2023

Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module.

Hiroaki Minoura, Tsubasa Hirakawa, Yusuke Sugano, Takayoshi Yamashita, Hironobu Fujiyoshi

IEEE Trans. Intell. Veh., January, 2023

Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query.

Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

CoRR, 2023

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

Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita

CoRR, 2023

Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric.

Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

IEEE Access, 2023

1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention.

Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer.

Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Complement Objective Mining Branch for Optimizing Attention Map.

Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Masking and Mixing Adversarial Training.

Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

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

Yucheng Zhang, Masaki Fukuda, Yasunori Ishii, Kyoko Ohshima, Takayoshi Yamashita

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Human-like Guidance with Gaze Estimation and Classification-based Text Generation.

Masaki Nambata, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning.

Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the International Joint Conference on Neural Networks, 2023

Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning.

Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the International Joint Conference on Neural Networks, 2023

This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers.

Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning.

Hirokazu Kohama, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention.

Saki Noguchi, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 34th British Machine Vision Conference 2023, 2023

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

Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Detecting Data Drift with KS Test Using Attention Map.

Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data.

Suraj Prakash Pattar, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, Hironobu Fujiyoshi

IEICE Trans. Inf. Syst., September, 2022

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes.

Shungo Fujii, Yasunori Ishii, Kazuki Kozuka, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

CoRR, 2022

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

Yuya Maruyama, Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

CoRR, 2022

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

Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita

CoRR, 2022

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

Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita

CoRR, 2022

MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection.

Ryosuke Araki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Adv. Robotics, 2022

Scaled-Dot Product Attention for Early Detection of At-risk Students.

Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada

Proceedings of the IEEE International Conference on Teaching, 2022

Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles.

Tsuyoshi Goto, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Action Spotting in Soccer Videos Using Multiple Scene Encoders.

Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning.

Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Class-Wise FM-NMS for Knowledge Distillation of Object Detection.

Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita

Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification.

Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ECCV 2022, 2022

Few-shot Adaptive Object Detection with Cross-Domain CutMix.

Yuzuru Nakamura, Yasunori Ishii, Yuki Maruyama, Takayoshi Yamashita

Proceedings of the Computer Vision - ACCV 2022, 2022

Visual Explanation Generation Based on Lambda Attention Branch Networks.

Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

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

Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

CoRR, 2021

CutDepth: Edge-aware Data Augmentation in Depth Estimation.

Yasunori Ishii, Takayoshi Yamashita

CoRR, 2021

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

Naoki Okamoto, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

CoRR, 2021

Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations.

Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai

Adv. Robotics, 2021

Collaborative Learning of Generative Adversarial Networks.

Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Embedding Human Knowledge into Deep Neural Network via Attention Map.

Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

3D Object Detection with Normal-map on Point Clouds.

Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Relational Subgraph for Graph-based Path Prediction.

Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Action Spotting and Temporal Attention Analysis in Soccer Videos.

Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Attention Mining Branch for Optimizing Attention Map.

Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information.

Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Multi-Domain Semantic-Segmentation using Multi-Head Model.

Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation.

Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

Proceedings of the International Joint Conference on Neural Networks, 2021

Semantic Segmentation And Change Detection By Multi-Task U-Net.

Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Single Fisheye Image Camera Calibration for Over 180-degree Projection of Field of View.

Nobuhiko Wakai, Takayoshi Yamashita

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR.

Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Super-Class Mixup for Adjusting Training Data.

Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

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

Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai

IEEE Robotics Autom. Lett., 2020

Driver Drowsiness Estimation by Parallel Linked Time-Domain CNN with Novel Temporal Measures on Eye States.

Kenta Nishiyuki, Jia-Yau Shiau, Shigenori Nagae, Tomohiro Yabuuchi, Koichi Kinoshita, Yuki Hasegawa, Takayoshi Yamashita, Hironobu Fujiyoshi

IEICE Trans. Inf. Syst., 2020

Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks.

Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Simultaneous Visual Context-aware Path Prediction.

Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka, Ryota Fujimura

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Video Object Detection and Tracking based on Angle Consistency between Motion and Flow.

Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection.

Ryosuke Araki, Takeshi Onishi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Improving reliability of attention branch network by introducing uncertainty.

Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Privacy-Aware Face Recognition with Lensless Multi-pinhole Camera.

Yasunori Ishii, Satoshi Sato, Takayoshi Yamashita

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition.

Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Knowledge Transfer Graph for Deep Collaborative Learning.

Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Embedding Human Knowledge in Deep Neural Network via Attention Map.

Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

CoRR, 2019

Path Predictions using Object Attributes and Semantic Environment.

Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks.

Ryo Matsui, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Facial Image Generation by Generative Adversarial Networks using Weighted Conditions.

Hiroki Adachi, Hiroshi Fukui, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning.

Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Cooking Video Summarization Guided By Matching with Step-By-Step Recipe Photos.

Ryo Sobue, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Domain Adaptation using a Gradient Reversal Layer with Instance Weighting.

Kosuke Osumi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Gradual Sampling Gate for Bidirectional Knowledge Distillation.

Soma Minami, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving.

Keisuke Mori, Hiroshi Fukui, Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Attention Neural Baby Talk: Captioning of Risk Factors while Driving.

Yuki Mori, Hiroshi Fukui, Tsubasa Hirakawa, Jo Nishiyama, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Automatic Creation of Path Information on Digital Map.

Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Detecting layered structures of partially occluded objects for bin picking.

Yusuke Inagaki, Ryosuke Araki, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Fast and Precise Detection of Object Grasping Positions with Eigenvalue Templates.

Kousuke Mano, Takahiro Hasegawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yukiyasu Domae

Proceedings of the International Conference on Robotics and Automation, 2019

Recognition of Listener's Nodding by LSTM Based on Movement of Facial Keypoints and Speech Intonation.

Takayoshi Yamashita, Maya Nakagawa, Hironobu Fujiyoshi, Yuji Haikawa

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation.

Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Coarse-to-Fine Deep Orientation Estimator for Local Image Matching.

Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Training of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate.

Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase

IEICE Trans. Inf. Syst., 2018

On the Prediction of Students' Quiz Score by Recurrent Neural Network.

Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, Shin'ichi Konomi

Proceedings of the Second Multimodal Learning Analytics Across (Physical and Digital) Spaces co-located with the 8th International Learning Analytics and Knowledge Conference, 2018

Pedestrian-Detection Method based on 1D-CNN during LiDAR Rotation.

Yuki Kunisada, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Multiple Skip Connections of Dilated Convolution Network for Semantic Segmentation.

Takayoshi Yamashita, Hironori Furukawa, Hironobu Fujiyoshi

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Compactification of Affine Transformation Filter Using Tensor Decomposition.

Kohei Kawai, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Sensing, Perception and Decision for Deep Learning Based Autonomous Driving.

Takayoshi Yamashita

Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

Survey on Vision-Based Path Prediction.

Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi

Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

2017

Denoising random forests.

Masaya Hibino, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi

CoRR, 2017

A neural network approach for students' performance prediction.

Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Hiroaki Ogata

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Word Recognition by Combining Outline Emphasis and Synthesize Background.

Yukihiro Achiha, Takayoshi Yamashita, Mitsuru Nakazawa, Soh Masuko, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the Entertainment Computing - ICEC 2017, 2017

Report on Behavior Analysis Using Text Mining in Pair Programming Education.

Maho Ueda, Yuri Suzuki, Akitoshi Itai, Takayoshi Yamashita, Norio Ishii

Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Analysis of Effects of Cooperative Learning Due to Differences in Students' Skills.

Masaya Uchi, Yuri Suzuki, Akitoshi Itai, Takayoshi Yamashita, Norio Ishii

Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining.

Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition.

Takato Kurokawa, Yuji Yamauchi, Mitsuru Ambai, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the British Machine Vision Conference 2017, 2017

Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction.

Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Guided Filtering using Reflected IR Image for Improving Quality of Depth Image.

Takahiro Hasegawa, Ryoji Tomizawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Robust pedestrian attribute recognition for an unbalanced dataset using mini-batch training with rarity rate.

Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Design of a Low-false-positive Gesture for a Wearable Device.

Ryo Kawahata, Atsushi Shimada, Takayoshi Yamashita, Hideaki Uchiyama, Rin-Ichiro Taniguchi

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network.

Takayoshi Yamashita, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks.

Shunta Saito, Takayoshi Yamashita, Yoshimitsu Aoki

Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2016, 2016

Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning.

Hiroshi Fukui, Takayoshi Yamashita, Yuu Kato, Ryo Matsui, Takanori Ogata, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling.

Takayoshi Yamashita, Takaya Nakamura, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi

IPSJ Trans. Comput. Vis. Appl., 2015

FPGA Hardware with Target-Reconfigurable Object Detector.

Yoshifumi Yazawa, Tsutomu Yoshimi, Teruyasu Tsuzuki, Tomomi Dohi, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

IEICE Trans. Inf. Syst., 2015

Boosted Random Forest.

Yohei Mishina, Ryuei Murata, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

IEICE Trans. Inf. Syst., 2015

Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks.

Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the VISAPP 2015, 2015

Weighted Hough Forest for object detection.

Yosuke Murai, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Fast discrimination by early judgment using linear classifier.

Takato Kurokawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Pedestrian detection based on deep convolutional neural network with ensemble inference network.

Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Fast 3D edge detection by using decision tree from depth image.

Masaya Kaneko, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi, Hiroshi Murase

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Facial point detection using convolutional neural network transferred from a heterogeneous task.

Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

SWAP-NODE: A regularization approach for deep convolutional neural networks.

Takayoshi Yamashita, Masayuki Tanaka, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Facial point detection based on a convolutional neural network with optimal mini-batch procedure.

Masatoshi Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters.

Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient feature selection method using contribution ratio by random forest.

Ryuei Murata, Yohei Mishina, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2015

Distributed forests for MapReduce-based machine learning.

Ryoji Wakayama, Ryuei Murata, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Transfer forest based on covariate shift.

Masamitsu Tsuchiya, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Facial fattening and slimming simulation considering skull structure.

Masahiro Fujisaki, Daiki Kuwahara, Taro Nakamura, Akinobu Maejima, Takayoshi Yamashita, Shigeo Morishima

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann Machine.

Takayoshi Yamashita, Masayuki Tanaka, Eiji Yoshida, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning.

Takayoshi Yamashita, Taro Watasue

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Incremental Learning of Hand Gestures Based on Submovement Sharing.

Ryo Kawahata, Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Asymmetric Feature Representation for Object Recognition in Client Server System.

Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

A Subunit-Based Dynamic Time Warping Approach for Hand Movement Recognition.

Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Robust object tracking using a context based on the relation of object and background.

Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE International Conference on Acoustics, 2013

Hand gesture based TV control system - Towards both user- & machine-friendly gesture applications.

Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi

Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, Incheon, Korea (South), January 30, 2013

Hybrid Transfer Learning for Efficient Learning in Object Detection.

Masamitsu Tsuchiya, Yuji Yamauchi, Hironobu Fujiyoshi, Takayoshi Yamashita

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Living without Menu Bar: A Shape Retrieval Based Word Editor.

Xiang Ruan, Kenji Fukuda, Takayoshi Yamashita

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

How to Select Useful Hand Shapes for Hand Gesture Recognition System.

Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi

Proceedings of the ICPRAM 2012, 2012

Adaptation of boosted pedestrian detectors by feature reselection.

Zhifang Liu, Genquan Duan, Haizhou Ai, Takayoshi Yamashita

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Robust Contour Tracking by Combining Region and Boundary Information.

Ling Cai, Lei He, Takayoshi Yamashita, Yiren Xu, Yuming Zhao, Xin Yang

IEEE Trans. Circuits Syst. Video Technol., 2011

A Single Framework for Action Recognition Based on Boosted Randomized Trees.

Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi

IPSJ Trans. Comput. Vis. Appl., 2011

Relational HOG feature with wild-card for object detection.

Yuji Yamauchi, Chika Matsushima, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Human detection for multiple pose by boosted randomized trees.

Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the First Asian Conference on Pattern Recognition, 2011

Improvements to facial contour detection by hierarchical fitting and regression.

Atsushi Irie, Mutsuki Takagiwa, Kozo Moriyama, Takayoshi Yamashita

Proceedings of the First Asian Conference on Pattern Recognition, 2011

Human centric object detection in highly crowded scenes.

Genquan Duan, Haizhou Ai, Takayoshi Yamashita, Shihong Lao

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Object Detection Based on Combining Multiple Background Modelings.

Tatsuya Tanaka, Satoshi Yoshinaga, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita

IPSJ Trans. Comput. Vis. Appl., 2010

Combined Top-Down/Bottom-Up Human Articulated Pose Estimation Using AdaBoost Learning.

Sheng Wang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feature co-occurrence representation based on boosting for object detection.

Yuji Yamauchi, Masanari Takagi, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Human Pose Estimation Using Exemplars and Part Based Refinement.

Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shihong Lao

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

SURF Tracking.

Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong Lao

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features.

Tatsuya Tanaka, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita

Proceedings of the Computer Vision, 2009

2008

Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans.

Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Human tracking based on Soft Decision Feature and online real boosting.

Takayoshi Yamashita, Hironobu Fujiyoshi, Shihong Lao, Masato Kawade

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Incremental Learning of Boosted Face Detector.

Chang Huang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Online Real Boosting for Object Tracking Under Severe Appearance Changes and Occlusion.

Li Xu, Takayoshi Yamashita, Shihong Lao, Masato Kawade, Feihu Qi

Proceedings of the IEEE International Conference on Acoustics, 2007

Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans.

Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007