Hironobu Fujiyoshi

发表

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

Hironobu Fujiyoshi, Yasuaki Mori, Tsubasa Hirakawa, 2019, ACPR.

Misclassification tolerable learning for robust pedestrian orientation classification

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Cooperative Multi-Sensor Video Surveillance System (VSAM)

Takeo Kanade, Hironobu Fujiyoshi, T. Kanade, 2002 .

Basic Examination of 3D Position Measurement from Two Unsynchronized Cameras on a Mobile Robot

Hironobu Fujiyoshi, Shoichi Shimizu, 2004 .

Object detection by joint features based on two-stage boosting

Hironobu Fujiyoshi, Tomokazu Mitsui, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Human Head Tracking in Three Dimensional Voxel Space

Hironobu Fujiyoshi, Yuji Iwahori, Haruki Kawanaka, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Classifier Introducing Transition Likelihood Model Based on Quantization Residual

Takeo Kanade, Hironobu Fujiyoshi, Yuji Yamauchi, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Keypoint detection by cascaded fast

Hironobu Fujiyoshi, Yuichi Yoshida, Mitsuru Ambai, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Algorithms for cooperative multisensor surveillance

Takeo Kanade, Hironobu Fujiyoshi, Robert T. Collins, 2001, Proc. IEEE.

Method for generating videowith virtual camerawork using bi-directional object tracking between keyframes

Hironobu Fujiyoshi, Yudai Shinoki, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Object Type Classification Using Structure-based Feature Representation

Takeo Kanade, Hironobu Fujiyoshi, Tomoyuki Nagahashi, 2007, MVA.

Word Recognition by Combining Outline Emphasis and Synthesize Background

Hironobu Fujiyoshi, Takayoshi Yamashita, Soh Masuko, 2017, ICEC.

Acquisition of 3D gaze information from eyeball movements using inside-out camera

Hironobu Fujiyoshi, Shoichi Shimizu, 2011, AH '11.

Integration of Image and ID-POS in ISZOT for Behavior Analysis of Shoppers

Hironobu Fujiyoshi, Yuan Li, Shun'ichi Kaneko, 2014 .

A Method for Generating Video with Virtual Camerawork Using Bi-directional Object Tracking Between Keyframes

Hironobu Fujiyoshi, Yudai Shinoki, 2009 .

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2020, IEEE Robotics and Automation Letters.

Mosaic-Based Global Vision System for Small Size Robot League

Hironobu Fujiyoshi, Yuji Hayashi, Seiji Tohyama, 2005, RoboCup.

A Method for Visualizing Pedestrian Traffic Flow Using SIFT Feature Point Tracking

Hironobu Fujiyoshi, Yuji Tsuduki, H. Fujiyoshi, 2009, PSIVT.

A New Practice Course for Freshmen Using RoboCup Based Small Robots

Hironobu Fujiyoshi, Yasunori Nagasaka, Takashi Fujii, 2005, RoboCup.

Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes

Takeo Kanade, Hironobu Fujiyoshi, Tomoyuki Nagahashi, 2009, ACCV.

Human Detection by Boosting-based Co-occurrence Feature Representation

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2008 .

Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature Subspaces

Hironobu Fujiyoshi, Arihito Ihara, Masanari Takagi, 2009, MVA.

Fostering UML Modeling Skills and Social Skills through Programming Education

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2010, 2010 23rd IEEE Conference on Software Engineering Education and Training.

Distributed forests for MapReduce-based machine learning

Hironobu Fujiyoshi, Takayoshi Yamashita, Akisato Kimura, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Robot and Media Information Processing

Takeo Kanade, Hironobu Fujiyoshi, T. Kanade, 1998 .

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

Hironobu Fujiyoshi, Takayoshi Yamashita, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Moving target classification and tracking from real-time video

Hironobu Fujiyoshi, Alan J. Lipton, Raju S. Patil, 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

Object-based Video Coding Using Pixel State Analysis

Hironobu Fujiyoshi, Taizo Umezaki, Takayuki Nishi, 2004 .

CS-HOG: Color similarity-based HOG

Hironobu Fujiyoshi, Yuji Yamauchi, Yuhi Goto, 2013, The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision.

Fast discrimination by early judgment using linear classifier

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2014, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2018, Ecosphere.

Improvement in the Accuracy of Matching by Different Feature Subspaces in Traffic Sign Recognition

Hironobu Fujiyoshi, Yukimasa Tamatsu, Masanari Takaki, 2009 .

A Compensation Method of Motion Features with Regression for Deficient Depth Image

Hironobu Fujiyoshi, Ryo Yumiba, Yoshiki Agata, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Multi-Dimensional Sensing for Security in Everyday Life

Hidekata Hontani, Hironobu Fujiyoshi, Manabu Hashimoto, 2011 .

Machine Learning-based Stereo Vision Algorithm for Surround View Fisheye Cameras

Hironobu Fujiyoshi, Tokihiko Akita, Yuji Yamauchi, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Masayuki Tanaka, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Evaluation of a Fingerprint Verification Method Based on LPC Analysis

Hironobu Fujiyoshi, Taizo Umezaki, Noriyuki Matsumoto, 2002 .

Path Predictions by LSTM Using Object Attributes and Semantic Environment

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2020 .

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Fukui, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015, VISAPP.

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

FPGA Hardware with Target-Reconfigurable Object Detector

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015, IEICE Trans. Inf. Syst..

Driver's decision analysis in terms of pedestrian attributes — A case study in passing by a pedestrian

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2020, VISIGRAPP.

Automatic Creation of Path Information on Digital Map

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Real-Time Human Head Tracking by Integration into the Partial Voxel Space Using Multiple Stereo Camera

Hironobu Fujiyoshi, Yuji Iwahori, Haruki Kawanaka, 2006 .

Team C 2 M: Two Cooperative Robots for Picking and Stowing in Amazon Picking Challenge 2016

Hironobu Fujiyoshi, Masahiro Fujita, Manabu Hashimoto, 2020 .

Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing

Takeo Kanade, Hironobu Fujiyoshi, Tomoyuki Nagahashi, 2007, ACCV.

People detection based on co-occurrence of appearance and spatio-temporal features

Takeo Kanade, Hironobu Fujiyoshi, Yuji Iwahori, 2010 .

Multiple Skip Connections of Dilated Convolution Network for Semantic Segmentation

Hironobu Fujiyoshi, Takayoshi Yamashita, Hironori Furukawa, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Estimation of Driver's Insight for Safe Passing based on Pedestrian Attributes

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Recognition of Road Contours Based on Extraction of 3D Positions of Delineators

Takeo Kanade, Hironobu Fujiyoshi, Hiroshi Sakai, 2007, 2007 IEEE Intelligent Transportation Systems Conference.

Domain Adaptation using a Gradient Reversal Layer with Instance Weighting

Hironobu Fujiyoshi, Takayoshi Yamashita, Kosuke Osumi, 2019, 2019 16th International Conference on Machine Vision Applications (MVA).

Practice of PBL Curriculum in the Department of Engineering

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2013 .

Traffic Sign Recognition Using SIFT Features

Hironobu Fujiyoshi, Masanari Takaki, H. Fujiyoshi, 2009 .

Pedestrian orientation classification utilizing single-chip coaxial RGB-ToF camera

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

Human Detection Based on Statistical Learning from Image

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2013 .

Body posture and face orientation estimation by convolutional network with heterogeneous learning

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2018, 2018 International Workshop on Advanced Image Technology (IWAIT).

Road Observation and Information Providing System for Supporting Mobility of Pedestrian

Hironobu Fujiyoshi, Kentaro Kayama, Ikuko Eguchi Yairi, 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Fukui, 2015, IPSJ Trans. Comput. Vis. Appl..

Feature co-occurrence representation based on boosting for object detection

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Fukui, 2016, ACCV Workshops.

Detecting layered structures of partially occluded objects for bin picking

Hironobu Fujiyoshi, Takayoshi Yamashita, Ryosuke Araki, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Haikawa, 2019, HCI.

Adaptive fusion for diurnal moving object detection

Takeo Kanade, Hironobu Fujiyoshi, 2002, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Fukui, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Development and Evaluation of Question Templates for Text Mining

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2013 .

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

Hironobu Fujiyoshi, Hiroshi Murase, Takayoshi Yamashita, 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Toru Tamaki, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Moving object detection with background model based on spatio-temporal texture

Hironobu Fujiyoshi, Masanori Miyoshi, Ryo Yumiba, 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

Human tracking based on Soft Decision Feature and online real boosting

Hironobu Fujiyoshi, Takayoshi Yamashita, Shihong Lao, 2008, 2008 19th International Conference on Pattern Recognition.

A System for Video Surveillance and Monitoring

Takeo Kanade, Hironobu Fujiyoshi, Robert T. Collins, 2000 .

Boosted Random Forest

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015 .

2D and 3D Feature for Object Recognition

Hironobu Fujiyoshi, Manabu Hashimoto, 2017 .

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

Hironobu Fujiyoshi, Hiroshi Murase, Takayoshi Yamashita, 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

Embedding Human Knowledge in Deep Neural Network via Attention Map pdf

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Fukui, 2019, VISIGRAPP.

Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness

Hironobu Fujiyoshi, Masahiro Fujita, Manabu Hashimoto, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Relational HOG Feature and Masking of Binary by Using Wild-Card for Object Detection

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2011 .

Simultaneous Visual Context-aware Path Prediction

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2020, VISIGRAPP.

Denoising random forests pdf

Hironobu Fujiyoshi, Takayoshi Yamashita, Akisato Kimura, 2017, ArXiv.

Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response

Hironobu Fujiyoshi, Hiroaki Ando, 2010, 2010 20th International Conference on Pattern Recognition.

Designing and Improving Learning Environments for Creativity in Engineering

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2007 .

A Method of Pseudo Stereo Vision from Images of Cameras Shutter Timing Adjusted

Hironobu Fujiyoshi, Tomoichi Takahashi, Yasunori Nagasaka, 2004, RoboCup.

An apparatus for detecting an object in an image

Hironobu Fujiyoshi, Masanari Takaki, 2008 .

Competition Report of Amazon Robotics Challenge 2017

Hironobu Fujiyoshi, 2018 .

Virtual camerawork for generating lecture video from high resolution images

Hironobu Fujiyoshi, Takao Yokoi, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Human detection by Haar-like filtering using depth information

Hironobu Fujiyoshi, Sho Ikemura, H. Fujiyoshi, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Mitsuru Ambai, 2017, BMVC.

A Method of 3D Position Estimation Using Asynchronous Multiple Pan-Tilt Cameras

Hironobu Fujiyoshi, Tomoichi Takahashi, Yuji Iwahori, 2009 .

Mean-Shift-Based Color Tracking in Illuminance Change

Hironobu Fujiyoshi, Yuji Hayashi, 2007, RoboCup.

Fast and Precise Detection of Object Grasping Positions with Eigenvalue Templates

Hironobu Fujiyoshi, Yukiyasu Domae, Takayoshi Yamashita, 2019, 2019 International Conference on Robotics and Automation (ICRA).

高速かつ省メモリなドライバ姿勢推定 Fast and Compact Driver Pose Estimation

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuki Hasegawa, 2020 .

Fast 3D position measurement with two unsynchronized cameras

Hironobu Fujiyoshi, Tomoichi Takahashi, Yasunori Nagasaka, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Efficient feature selection method using contribution ratio by random forest

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015, 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV).

Area extraction of license plates using an artificial neural network

Takeo Kanade, Hironobu Fujiyoshi, Taizo Umezaki, 1998, Systems and Computers in Japan.

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

Hironobu Fujiyoshi, Hiroshi Murase, Takayoshi Yamashita, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Recovering 3-D gaze scan path and scene structure from inside-out camera

Hironobu Fujiyoshi, Yuto Goto, H. Fujiyoshi, 2013, AH.

A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model

Takeo Kanade, Hironobu Fujiyoshi, Osamu Hasegawa, 2000, MVA.

Boosted random forest

Hironobu Fujiyoshi, Masamitsu Tsuchiya, Yohei Mishina, 2015, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

A System for Video Surveillance and Monitoring CMU VSAM Final Report

Hironobu Fujiyoshi, Robert T. Collins, Alan J. Lipton, 1999 .

Path Predictions using Object Attributes and Semantic Environment

Hironobu Fujiyoshi, Takayoshi Yamashita, Tsubasa Hirakawa, 2019, VISIGRAPP.

Real-Time Human Detection Using Relational Depth Similarity Features

Hironobu Fujiyoshi, Sho Ikemura, H. Fujiyoshi, 2010, ACCV.

Human Trajectory Analysis and Activity Prediction in Videos

Hironobu Fujiyoshi, Takayoshi Yamashita, Toru Tamaki, 2017 .

Facial Image Generation by Generative Adversarial Networks using Weighted Conditions

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroki Adachi, 2019, VISIGRAPP.

Robotics Engineering Education Based on ROS

Hironobu Fujiyoshi, Goro Obinata, Yuji Yamauchi, 2017 .

Layered detection for multiple overlapping objects

Takeo Kanade, Hironobu Fujiyoshi, 2002, Object recognition supported by user interaction for service robots.

A Cut Method for Cutting and Editing Personal Videos Using ST-patches and Sensor Information

Hironobu Fujiyoshi, Takuya Furukawa, 2012 .

Automatic generation of training samples and a learning method based on advanced MILBoost for human detection

Hironobu Fujiyoshi, Yuji Yamauchi, H. Fujiyoshi, 2011, The First Asian Conference on Pattern Recognition.

Object Tracking based on Feature Points with Spatial and Temporal Attributes

Hironobu Fujiyoshi, Takayoshi Yamashita, 2013 .

Compactification of Affine Transformation Filter Using Tensor Decomposition

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Stereo Vision by Combination of Machine-Learning Techniques for Pedestrian Detection at Intersections Utilizing Surround-View Cameras

Hironobu Fujiyoshi, Yuji Yamauchi, Tokihiko Akita, 2020, J. Robotics Mechatronics.

Automatic Tracking Camera System corresponding to Real World Space

Hironobu Fujiyoshi, Yuzo Ogawa, 2007 .

Comparison of the Fingerprint Verification Methods Based on the Discrete and Continuous Hidden Markov Model

Hironobu Fujiyoshi, Hideyo Takeuchi, Taizo Umezaki, 1998 .

Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching

Hironobu Fujiyoshi, Yuichi Yoshida, Ikuro Sato, 2013, IPSJ Trans. Comput. Vis. Appl..

Picking Robot based on a Two-finger Gripper for Various Mixed Items in Shelves

Hironobu Fujiyoshi, Masahiro Fujita, Manabu Hashimoto, 2020, Journal of the Robotics Society of Japan.

Keypoint Recognition with Two-Stage Randomized Trees

Hironobu Fujiyoshi, Shoichi Shimizu, 2012, IEICE Trans. Inf. Syst..

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Generating a Time Shrunk Lecture Video by Event Detection

Hironobu Fujiyoshi, Takao Yokoi, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Recognition of Texting-While-Walking by Joint Features Based on Arm and Head Poses

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2016, ACCV Workshops.

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Ikuro Sato, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Keypoint Recognition Using Two-Stage Randomized Trees

Hironobu Fujiyoshi, Shoichi Shimizu, 2011, MVA.

Ternary Weight Decomposition and Binary Activation Encoding for Fast and Compact Neural Network

Hironobu Fujiyoshi, Takayoshi Yamashita, Mitsuru Ambai, 2017 .

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

A framework for designing and improving learning environments fostering creativity

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2007 .

Cooking Movie Summarization Based on Recipe Images and Descriptions

Hironobu Fujiyoshi, Tsubasa Hirakawa, Bjorn Stenger, 2020 .

A method for estimating cut-edit points in personal videos

Hironobu Fujiyoshi, Takuya Furukawa, Akiyuki Nomura, 2010, 2010 IEEE International Conference on Multimedia and Expo.

Hybrid Transfer Learning for Efficient Learning in Object Detection

Hironobu Fujiyoshi, Takayoshi Yamashita, Masamitsu Tsuchiya, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Human detection for multiple pose by boosted randomized trees

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2011, The First Asian Conference on Pattern Recognition.

Incoherent motion detection using a time-series Gram matrix feature

Hironobu Fujiyoshi, Shoji Muramatsu, Masanori Miyoshi, 2008, 2008 19th International Conference on Pattern Recognition.

Vehicle Tracking using Cooperative Multiple Scalable Mean-Shift Trackers

Hironobu Fujiyoshi, Toshiaki Kakinami, Tokihiko Akita, 2005 .

Survey on Vision-Based Path Prediction pdf

Hironobu Fujiyoshi, Takayoshi Yamashita, Toru Tamaki, 2018, HCI.

Estimation of Human Orientation using Coaxial RGB-Depth Images

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2015, VISAPP.

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

Hironobu Fujiyoshi, Hiroshi Murase, Takayoshi Yamashita, 2018, IEICE Trans. Inf. Syst..

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

A Compensation Method of Motion Features with Regression for Deficient Depth Image

Hironobu Fujiyoshi, Ryo Yumiba, 2014, IPSJ Trans. Comput. Vis. Appl..

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuki Hasegawa, 2020 .

Shot boundary detection using co-occurrence of global motion in video stream

Hironobu Fujiyoshi, Yosuke Murai, 2008, 2008 19th International Conference on Pattern Recognition.

A framework for designing learning environments fostering creativity

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2006 .

AREA EXTRACTION OF LICENSE PLATES USING AN ARTIFICIAL NEURAL NETWORK

Takeo Kanade, Hironobu Fujiyoshi, Taizo Umezaki, 1998 .

Designing Learning Environments for Creativity in Engineering Education

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2006 .

A Single Framework for Action Recognition Based on Boosted Randomized Trees

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2012, IPSJ Trans. Comput. Vis. Appl..

Segmentation and Recognition of Serial Numbers in License Plate

Takeo Kanade, Hironobu Fujiyoshi, Taizo Umezaki, 2001 .

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2016, VISIGRAPP.

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Eiji Yoshida, 2014, 2014 22nd International Conference on Pattern Recognition.

Recognition of Road Contours Using Delineators at Night

Hironobu Fujiyoshi, Yuji Iwahori, Takeo Kanade, 2009 .

Robust and Accurate Detection of Object Orientation and ID Without Color Segmentation

Hironobu Fujiyoshi, Shoichi Shimizu, Tomoyuki Nagahashi, 2005, RoboCup.

Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters

Gou Koutaki, Hironobu Fujiyoshi, Takayoshi Yamashita, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Object-based video coding using pixel state analysis

Hironobu Fujiyoshi, Nishi Takayuki, 2004, ICPR 2004.

Asymmetric Feature Representation for Object Recognition in Client Server System

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuichi Yoshida, 2014, ACCV.

Real-time human motion analysis by image skeletonization

Hironobu Fujiyoshi, Alan J. Lipton, Takeo Kanade, 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

Transfer forest based on covariate shift

Hironobu Fujiyoshi, Takayoshi Yamashita, Masamitsu Tsuchiya, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Gradual Sampling Gate for Bidirectional Knowledge Distillation

Hironobu Fujiyoshi, Takayoshi Yamashita, Soma Minami, 2019, 2019 16th International Conference on Machine Vision Applications (MVA).

A Method for Constructing a High-Accuracy Classifier Using Divide and Conquer Strategy Based on Boosting

Hironobu Fujiyoshi, Masamitsu Tsuchiya, 2012 .

A method of feature selection using contribution ratio based on boosting

Hironobu Fujiyoshi, Masamitsu Tsuchiya, H. Fujiyoshi, 2008, 2008 19th International Conference on Pattern Recognition.

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuki Kunisada, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Incident Detection Based on Dynamic Background Modeling and Statistical Learning Using Spatio-Temporal Features

Hironobu Fujiyoshi, Masato Kazui, Yasuhiro Murai, 2009, MVA.

Designing a Programming Course to Foster Creativity using UML Modeling Template

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2009, CSEDU.

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

Hironobu Fujiyoshi, Takayoshi Yamashita, Ryo Matsui, 2019, VISIGRAPP.

Action Classification by Joint Boosting Using Spatiotemporal and Depth Information

Hironobu Fujiyoshi, Sho Ikemura, 2010 .

Practice of Creativity Education in Engineering

Hironobu Fujiyoshi, Yuri Suzuki, Norio Ishii, 2006 .

Weighted Hough Forest for object detection

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Relational HOG feature with wild-card for object detection

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Evaluating Feature Importance for Object Classification in Visual Surveillance

Hironobu Fujiyoshi, Masamitsu Tsuchiya, H. Fujiyoshi, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Combined Object Detection and Segmentation by Using Space-Time Patches

Takeo Kanade, Hironobu Fujiyoshi, Yasuhiro Murai, 2007, ACCV.

Object-based video coding using pixel state analysis

Hironobu Fujiyoshi, Takayuki Nishi, H. Fujiyoshi, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Deep learning-based image recognition for autonomous driving

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2019, IATSS Research.

Grasping Detection using Deep Convolutional Neural Network with Graspability

Hironobu Fujiyoshi, Takayoshi Yamashita, Yukiyasu Domae, 2018 .

Condition Monitoring of Driver by Deep Convolutional Neural Network with Heterogeneous Learning

Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi, 2017 .

An apparatus for recognizing an object on an image

Hironobu Fujiyoshi, Masanari Takaki, 2008 .

A Method for Visualizing Moving Objects from Aerial Images for Monitoring Traffic Conditions

Hironobu Fujiyoshi, Takashi Nishimura, Yuji Tsuduki, 2009 .

A Method for Estimation of 3D Position and Camera Self-Calibration Using Results of Human Detection

Hironobu Fujiyoshi, Hiroaki Ando, 2011 .

Attention Neural Baby Talk: Captioning of Risk Factors while Driving

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

People detection based on co-occurrence of appearance and spatiotemporal features

Takeo Kanade, Hironobu Fujiyoshi, Bon-Woo Hwang, 2008, 2008 19th International Conference on Pattern Recognition.

Image Recognition by Deep Learning

Hironobu Fujiyoshi, Takayoshi Yamashita, 2017 .

Object Category Recognition by Bag-of-Features Using Co-Occurrence Representation by Foreground and Background Information

Hironobu Fujiyoshi, 2011, MVA.

Real-time Measurement System of Cycloduction Movement Based on Fast Ellipse Detection

Hironobu Fujiyoshi, Yutaka Hirata, Naoki Fukaya, 2007 .

Real‐time measurement of cycloduction movement based on fast ellipse detection

Hironobu Fujiyoshi, Naoki Fukaya, H. Takamaru, 2009 .

A Pseudo Stereo Vision Method using Asynchronous Multiple Cameras

Hironobu Fujiyoshi, Tomoichi Takahashi, Yasunori Nagasaka, 2007 .

A Method for Estimating Rigid Object Motion Using Regularized Scene Flow

Hironobu Fujiyoshi, Hiroki Mizuno, 2007, MVA.

Knowledge Transfer Graph for Deep Collaborative Learning pdf

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2019, ArXiv.

Distant Pedestrian Re-detection from an In-vehicle Camera Based on Detections by Other Vehicles

Hironobu Fujiyoshi, Hiroshi Murase, Daisuke Deguchi, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Collaborative Learning of Generative Adversarial Networks

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, VISIGRAPP.

3D Object Detection with Normal-map on Point Clouds

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, VISIGRAPP.

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, Adv. Robotics.

Distant Traffic Light Recognition Using Semantic Segmentation

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, Transportation Research Record: Journal of the Transportation Research Board.

Action Spotting and Temporal Attention Analysis in Soccer Videos

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, ArXiv.

Facial landmark detection transfer learning for a specific user in driver status monitoring systems

Hironobu Fujiyoshi, Kensuke Taguchi, Jaechul Kim, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Improving reliability of attention branch network by introducing uncertainty

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Fast and Accurate Driver Action Recognition with Multi-Task Learning of Driver Pose and Action

Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Tasaki, 2021 .

Multi-Domain Semantic-Segmentation using Multi-Head Model

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Attention Mining Branch for Optimizing Attention Map

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

Cut and paste curriculum learning with hard negative mining for point-of-sale systems

Hironobu Fujiyoshi, Jaechul Kim, Xiaoyan Dai, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

Relational Subgraph for Graph-based Path Prediction

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, ArXiv.

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

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2021, 2021 IEEE Intelligent Vehicles Symposium (IV).

A Method for Recognizing Object's ID and Detecting its Pose Under Varying Light Condition for Visual Feedback Control

Hironobu Fujiyoshi, Tomoyuki Nagahashi, Shoichi Shimizu, 2009 .