Real-time human motion analysis by image skeletonization. - Hironobu Fujiyoshi; Alan J. Lipton (WACV, 1998)

Moving target classification and tracking from real-time video. - Alan J. Lipton; Hironobu Fujiyoshi; Raju S. Patil (WACV, 1998)

Area extraction of license plates using an artificial neural network. - Hironobu Fujiyoshi; Taizo Umezaki; Tomohiko Imamura; Takeo Kanade (Syst. Comput. Jpn., 1998)

A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model. - Nobuyoshi Enomoto; Takeo Kanade; Hironobu Fujiyoshi; Osamu Hasegawa (MVA, 2000)

Algorithms for cooperative multisensor surveillance. - Robert T. Collins; Alan J. Lipton; Hironobu Fujiyoshi; Takeo Kanade (Proc. IEEE, 2001)

Fast 3D position measurement with two unsynchronized cameras. - Hironobu Fujiyoshi; Shoichi Shimizu; Takayuki Nishi; Yasunori Nagasaka; Tomoichi Takahashi (CIRA, 2003)

Object-Based Video Coding Using Pixel State Analysis. - Takayuki Nishi; Hironobu Fujiyoshi (ICPR (3), 2004)

A Method of Pseudo Stereo Vision from Images of Cameras Shutter Timing Adjusted. - Hironobu Fujiyoshi; Shoichi Shimizu; Yasunori Nagasaka; Tomoichi Takahashi (RoboCup, 2004)

Layered Detection for Multiple Overlapping Objects. - Hironobu Fujiyoshi; Takeo Kanade (IEICE Trans. Inf. Syst., 2004)

Real-Time Human Motion Analysis by Image Skeletonization. - Hironobu Fujiyoshi; Alan J. Lipton; Takeo Kanade (IEICE Trans. Inf. Syst., 2004)

Virtual camerawork for generating lecture video from high resolution images. - Takao Yokoi; Hironobu Fujiyoshi (ICME, 2005)

Mosaic-Based Global Vision System for Small Size Robot League. - Yuji Hayashi; Seiji Tohyama; Hironobu Fujiyoshi (RoboCup, 2005)

A New Practice Course for Freshmen Using RoboCup Based Small Robots. - Yasunori Nagasaka; Morihiko Saeki; Shoichi Shibata; Hironobu Fujiyoshi; Takashi Fujii; Toshiyuki Sakata (RoboCup, 2005)

Robust and Accurate Detection of Object Orientation and ID Without Color Segmentation. - Shoichi Shimizu; Tomoyuki Nagahashi; Hironobu Fujiyoshi (RoboCup, 2005)

Generating a Time Shrunk Lecture Video by Event Detection. - Takao Yokoi; Hironobu Fujiyoshi (ICME, 2006)

Human Head Tracking in Three Dimensional Voxel Space. - Haruki Kawanaka; Hironobu Fujiyoshi; Yuji Iwahori (ICPR (3), 2006)

Evaluating Feature Importance for Object Classification in Visual Surveillance. - Masamitsu Tsuchiya; Hironobu Fujiyoshi (ICPR (2), 2006)

Road Observation and Information Providing System for Supporting Mobility of Pedestrian. - Hironobu Fujiyoshi; Takeshi Komura; Ikuko Eguchi Yairi; Kentaro Kayama (ICVS, 2006)

Combined Object Detection and Segmentation by Using Space-Time Patches. - Yasuhiro Murai; Hironobu Fujiyoshi; Takeo Kanade (ACCV (1), 2007)

Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing. - Tomoyuki Nagahashi; Hironobu Fujiyoshi; Takeo Kanade (ACCV (2), 2007)

Recognition of Road Contours Based on Extraction of 3D Positions of Delineators. - Shoichi Shimizu; Hironobu Fujiyoshi; Hiroshi Sakai; Takeo Kanade (ITSC, 2007)

A Method for Estimating Rigid Object Motion Using Regularized Scene Flow. - Hiroki Mizuno; Hironobu Fujiyoshi (MVA, 2007)

Object Type Classification Using Structure-based Feature Representation. - Tomoyuki Nagahashi; Hironobu Fujiyoshi; Takeo Kanade (MVA, 2007)

Mean-Shift-Based Color Tracking in Illuminance Change. - Yuji Hayashi; Hironobu Fujiyoshi (RoboCup, 2007)

Incoherent motion detection using a time-series Gram matrix feature. - Masato Kazui; Masanori Miyoshi; Shoji Muramatsu; Hironobu Fujiyoshi (ICPR, 2008)

Shot boundary detection using co-occurrence of global motion in video stream. - Yosuke Murai; Hironobu Fujiyoshi (ICPR, 2008)

A method of feature selection using contribution ratio based on boosting. - Masamitsu Tsuchiya; Hironobu Fujiyoshi (ICPR, 2008)

Human tracking based on Soft Decision Feature and online real boosting. - Takayoshi Yamashita; Hironobu Fujiyoshi; Shihong Lao; Masato Kawade (ICPR, 2008)

People detection based on co-occurrence of appearance and spatiotemporal features. - Yuji Yamauchi; Hironobu Fujiyoshi; Bon-Woo Hwang; Takeo Kanade (ICPR, 2008)

Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes. - Tomoyuki Nagahashi; Hironobu Fujiyoshi; Takeo Kanade (ACCV (2), 2009)

Designing a Programming Course to Foster Creativity using UML Modeling Template. - Norio Ishii; Yuki Nagao; Yuri Suzuki 001; Hironobu Fujiyoshi; Takashi Fujii (CSEDU (2), 2009)

Object detection by joint features based on two-stage boosting. - Tomokazu Mitsui; Hironobu Fujiyoshi (ICCV Workshops, 2009)

Method for generating videowith virtual camerawork using bi-directional object tracking between keyframes. - Yudai Shinoki; Hironobu Fujiyoshi (ICME, 2009)

Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature Subspaces. - Arihito Ihara; Hironobu Fujiyoshi; Masanari Takagi; Hiroaki Kumon (MVA, 2009)

Incident Detection Based on Dynamic Background Modeling and Statistical Learning Using Spatio-Temporal Features. - Yasuhiro Murai; Hironobu Fujiyoshi; Masato Kazui (MVA, 2009)

A Method for Visualizing Pedestrian Traffic Flow Using SIFT Feature Point Tracking. - Yuji Tsuduki; Hironobu Fujiyoshi (PSIVT, 2009)

Real-Time Human Detection Using Relational Depth Similarity Features. - Sho Ikemura; Hironobu Fujiyoshi (ACCV (4), 2010)

Fostering UML Modeling Skills and Social Skills through Programming Education. - Norio Ishii; Yuri Suzuki 001; Hironobu Fujiyoshi; Takashi Fujii (CSEE&T, 2010)

Feature co-occurrence representation based on boosting for object detection. - Yuji Yamauchi; Masanari Takagi; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR Workshops, 2010)

A method for estimating cut-edit points in personal videos. - Takuya Furukawa; Hironobu Fujiyoshi; Akiyuki Nomura (ICME, 2010)

Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response. - Hiroaki Ando; Hironobu Fujiyoshi (ICPR, 2010)

Human detection for multiple pose by boosted randomized trees. - Takayoshi Yamashita; Yuji Yamauchi; Hironobu Fujiyoshi (ACPR, 2011)

Automatic generation of training samples and a learning method based on advanced MILBoost for human detection. - Yuji Yamauchi; Hironobu Fujiyoshi (ACPR, 2011)

Acquisition of 3D gaze information from eyeball movements using inside-out camera. - Shoichi Shimizu; Hironobu Fujiyoshi (AH, 2011)

Relational HOG feature with wild-card for object detection. - Yuji Yamauchi; Chika Matsushima; Takayoshi Yamashita; Hironobu Fujiyoshi (ICCV Workshops, 2011)

Object Category Recognition by Bag-of-Features Using Co-Occurrence Representation by Foreground and Background Information. - Hironobu Fujiyoshi (MVA, 2011)

Keypoint Recognition Using Two-Stage Randomized Trees. - Shoichi Shimizu; Hironobu Fujiyoshi (MVA, 2011)

Moving object detection with background model based on spatio-temporal texture. - Ryo Yumiba; Masanori Miyoshi; Hironobu Fujiyoshi (WACV, 2011)

A Single Framework for Action Recognition Based on Boosted Randomized Trees. - Takayoshi Yamashita; Yuji Yamauchi; Hironobu Fujiyoshi (IPSJ Trans. Comput. Vis. Appl., 2011)

Human detection by Haar-like filtering using depth information. - Sho Ikemura; Hironobu Fujiyoshi (ICPR, 2012)

Keypoint Recognition with Two-Stage Randomized Trees. - Shoichi Shimizu; Hironobu Fujiyoshi (IEICE Trans. Inf. Syst., 2012)

Hybrid Transfer Learning for Efficient Learning in Object Detection. - Masamitsu Tsuchiya; Yuji Yamauchi; Hironobu Fujiyoshi; Takayoshi Yamashita (ACPR, 2013)

Classifier Introducing Transition Likelihood Model Based on Quantization Residual. - Yuji Yamauchi; Takeo Kanade; Hironobu Fujiyoshi (ACPR, 2013)

Recovering 3-D gaze scan path and scene structure from inside-out camera. - Yuto Goto; Hironobu Fujiyoshi (AH, 2013)

A Compensation Method of Motion Features with Regression for Deficient Depth Image. - Ryo Yumiba; Yoshiki Agata; Hironobu Fujiyoshi (CVPR Workshops, 2013)

CS-HOG: Color similarity-based HOG. - Yuhi Goto; Yuji Yamauchi; Hironobu Fujiyoshi (FCV, 2013)

Robust object tracking using a context based on the relation of object and background. - Takayoshi Yamashita; Hironobu Fujiyoshi (ICASSP, 2013)

Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. - Yuji Yamauchi; Mitsuru Ambai; Ikuro Sato; Yuichi Yoshida; Hironobu Fujiyoshi (IPSJ Trans. Comput. Vis. Appl., 2013)

Asymmetric Feature Representation for Object Recognition in Client Server System. - Yuji Yamauchi; Mitsuru Ambai; Ikuro Sato; Yuichi Yoshida; Hironobu Fujiyoshi; Takayoshi Yamashita (ACCV (1), 2014)

Keypoint detection by cascaded fast. - Takahiro Hasegawa; Yuji Yamauchi; Mitsuru Ambai; Yuichi Yoshida; Hironobu Fujiyoshi (ICIP, 2014)

To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann Machine. - Takayoshi Yamashita; Masayuki Tanaka 001; Eiji Yoshida; Yuji Yamauchi; Hironobu Fujiyoshi (ICPR, 2014)

Boosted Random Forest. - Yohei Mishina; Masamitsu Tsuchiya; Hironobu Fujiyoshi (VISAPP (2), 2014)

A Compensation Method of Motion Features with Regression for Deficient Depth Image. - Ryo Yumiba; Hironobu Fujiyoshi (IPSJ Trans. Comput. Vis. Appl., 2014)

Transfer forest based on covariate shift. - Masamitsu Tsuchiya; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR, 2015)

Distributed forests for MapReduce-based machine learning. - Ryoji Wakayama; Ryuei Murata; Akisato Kimura; Takayoshi Yamashita; Yuji Yamauchi; Hironobu Fujiyoshi (ACPR, 2015)

Efficient feature selection method using contribution ratio by random forest. - Ryuei Murata; Yohei Mishina; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (FCV, 2015)

Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. - Takahiro Hasegawa; Mitsuru Ambai; Kohta Ishikawa; Gou Koutaki; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (ICCV, 2015)

Facial point detection based on a convolutional neural network with optimal mini-batch procedure. - Masatoshi Kimura; Takayoshi Yamashita; Yuji Yamauchi; Hironobu Fujiyoshi (ICIP, 2015)

SWAP-NODE: A regularization approach for deep convolutional neural networks. - Takayoshi Yamashita; Masayuki Tanaka 001; Yuji Yamauchi; Hironobu Fujiyoshi (ICIP, 2015)

Facial point detection using convolutional neural network transferred from a heterogeneous task. - Takayoshi Yamashita; Taro Watasue; Yuji Yamauchi; Hironobu Fujiyoshi (ICIP, 2015)

Fast 3D edge detection by using decision tree from depth image. - Masaya Kaneko; Takahiro Hasegawa; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi; Hiroshi Murase (IROS, 2015)

Distant Pedestrian Re-detection from an In-vehicle Camera Based on Detections by Other Vehicles. - Yasutomo Kawanishi; Daisuke Deguchi; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (ITSC, 2015)

Pedestrian detection based on deep convolutional neural network with ensemble inference network. - Hiroshi Fukui; Takayoshi Yamashita; Yuji Yamauchi; Hironobu Fujiyoshi; Hiroshi Murase (Intelligent Vehicles Symposium, 2015)

Pedestrian orientation classification utilizing single-chip coaxial RGB-ToF camera. - Fumito Shinmura; Yasutomo Kawanishi; Daisuke Deguchi; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (Intelligent Vehicles Symposium, 2015)

Fast discrimination by early judgment using linear classifier. - Takato Kurokawa; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2015)

Weighted Hough Forest for object detection. - Yosuke Murai; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2015)

Estimation of Human Orientation using Coaxial RGB-Depth Images. - Fumito Shinmura; Daisuke Deguchi; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (VISAPP (2), 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 (VISAPP (2), 2015)

Boosted Random Forest. - Yohei Mishina; Ryuei Murata; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (IEICE Trans. Inf. Syst., 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)

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)

Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning. - Hiroshi Fukui; Takayoshi Yamashita; Yuu Kato; Ryo Matsui; Takanori Ogata; Yuji Yamauchi; Hironobu Fujiyoshi (ACCV Workshops (2), 2016)

Recognition of Texting-While-Walking by Joint Features Based on Arm and Head Poses. - Fumito Shinmura; Yasutomo Kawanishi; Daisuke Deguchi; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (ACCV Workshops (1), 2016)

Misclassification tolerable learning for robust pedestrian orientation classification. - Yasutomo Kawanishi; Daisuke Deguchi; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (ICPR, 2016)

Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network. - Takayoshi Yamashita; Hiroshi Fukui; Yuji Yamauchi; Hironobu Fujiyoshi (ICPR, 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 (Intelligent Vehicles Symposium, 2016)

Guided Filtering using Reflected IR Image for Improving Quality of Depth Image. - Takahiro Hasegawa; Ryoji Tomizawa; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (3: VISAPP), 2016)

Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. - Tsubasa Hirakawa; Takayoshi Yamashita; Ken Yoda; Toru Tamaki; Hironobu Fujiyoshi (ACPR, 2017)

Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition. - Takato Kurokawa; Yuji Yamauchi; Mitsuru Ambai; Takayoshi Yamashita; Hironobu Fujiyoshi (BMVC, 2017)

Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining. - Ryuji Kamiya; Takayoshi Yamashita; Mitsuru Ambai; Ikuro Sato; Yuji Yamauchi; Hironobu Fujiyoshi (ICCV Workshops, 2017)

Driver's decision analysis in terms of pedestrian attributes - A case study in passing by a pedestrian. - Fumito Shinmura; Yasutomo Kawanishi; Daisuke Deguchi; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (ITSC, 2017)

Word Recognition by Combining Outline Emphasis and Synthesize Background. - Yukihiro Achiha; Takayoshi Yamashita; Mitsuru Nakazawa; Soh Masuko; Yuji Yamauchi; Hironobu Fujiyoshi (ICEC, 2017)

Denoising random forests. - Masaya Hibino; Akisato Kimura; Takayoshi Yamashita; Yuji Yamauchi; Hironobu Fujiyoshi (CoRR, 2017)

Survey on Vision-Based Path Prediction. - Tsubasa Hirakawa; Takayoshi Yamashita; Toru Tamaki; Hironobu Fujiyoshi (HCI (22), 2018)

Compactification of Affine Transformation Filter Using Tensor Decomposition. - Kohei Kawai; Takahiro Hasegawa; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2018)

Multiple Skip Connections of Dilated Convolution Network for Semantic Segmentation. - Takayoshi Yamashita; Hironori Furukawa; Hironobu Fujiyoshi (ICIP, 2018)

Machine Learning-based Stereo Vision Algorithm for Surround View Fisheye Cameras. - Tokihiko Akita; Yuji Yamauchi; Hironobu Fujiyoshi (ITSC, 2018)

Pedestrian-Detection Method based on 1D-CNN during LiDAR Rotation. - Yuki Kunisada; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2018)

Estimation of Driver's Insight for Safe Passing based on Pedestrian Attributes. - Fumito Shinmura; Yasutomo Kawanishi; Daisuke Deguchi; Takatsugu Hirayama; Ichiro Ide; Hiroshi Murase; Hironobu Fujiyoshi (ITSC, 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)

Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. - Yasuaki Mori; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (1), 2019)

Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness. - Masahiro Fujita; Yukiyasu Domae; Ryosuke Kawanishi; Gustavo Alfonso Garcia Ricardez; Kenta Kato; Koji Shiratsuchi; Rintaro Haraguchi; Ryosuke Araki; Hironobu Fujiyoshi; Shuichi Akizuki; Manabu Hashimoto; Albert J. Causo; et al. (CASE, 2019)

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. - Hiroshi Fukui; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR, 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 (HCI (34), 2019)

Fast and Precise Detection of Object Grasping Positions with Eigenvalue Templates. - Kousuke Mano; Takahiro Hasegawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yukiyasu Domae (ICRA, 2019)

Detecting layered structures of partially occluded objects for bin picking. - Yusuke Inagaki; Ryosuke Araki; Takayoshi Yamashita; Hironobu Fujiyoshi (IROS, 2019)

Automatic Creation of Path Information on Digital Map. - Haruka Iesaki; Shuhei Naruse; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2019)

Attention Neural Baby Talk: Captioning of Risk Factors while Driving. - Yuki Mori; Hiroshi Fukui; Tsubasa Hirakawa; Jo Nishiyama; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 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 (IV, 2019)

Gradual Sampling Gate for Bidirectional Knowledge Distillation. - Soma Minami; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2019)

Domain Adaptation using a Gradient Reversal Layer with Instance Weighting. - Kosuke Osumi; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 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 (MVA, 2019)

Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. - Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (PerCom Workshops, 2019)

Facial Image Generation by Generative Adversarial Networks using Weighted Conditions. - Hiroki Adachi; Hiroshi Fukui; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (4: VISAPP), 2019)

Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks. - Ryo Matsui; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2019)

Path Predictions using Object Attributes and Semantic Environment. - Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 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)

Knowledge Transfer Graph for Deep Collaborative Learning. - Soma Minami; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (4), 2020)

Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. - Katsutoshi Shiraki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (5), 2020)

Improving reliability of attention branch network by introducing uncertainty. - Takuya Tsukahara; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICPR, 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 (ICRA, 2020)

Video Object Detection and Tracking based on Angle Consistency between Motion and Flow. - Toshiki Seo; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2020)

Simultaneous Visual Context-aware Path Prediction. - Haruka Iesaki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka; Ryota Fujimura (VISIGRAPP (4: VISAPP), 2020)

Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks. - Katsutoshi Shiraki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 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)

Stereo Vision by Combination of Machine-Learning Techniques for Pedestrian Detection at Intersections Utilizing Surround-View Cameras. - Tokihiko Akita; Yuji Yamauchi; Hironobu Fujiyoshi (J. Robotics Mechatronics, 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)

Super-Class Mixup for Adjusting Training Data. - Shungo Fujii; Naoki Okamoto; Toshiki Seo; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (2), 2021)

1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR. - Takahiro Suzuki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (1), 2021)

Performance Prediction and Importance Analysis Using Transformer. - Akiyoshi Satake; Hironobu Fujiyoshi; Takayoshi Yamashita (ICCE, 2021)

Semantic Segmentation And Change Detection By Multi-Task U-Net. - Shungo Tsutsui; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2021)

Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IJCNN, 2021)

Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. - Ryosuke Araki; Kohsuke Mano; Tadanori Hirano; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IROS, 2021)

Multi-Domain Semantic-Segmentation using Multi-Head Model. - Shota Masaki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2021)

Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information. - Yuki Mori; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2021)

Attention Mining Branch for Optimizing Attention Map. - Takaaki Iwayoshi; Masahiro Mitsuhara; Masayuki Takada; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2021)

Cut and paste curriculum learning with hard negative mining for point-of-sale systems. - Jaechul Kim; Xiaoyan Dai; Yisan Hsieh; Hiroki Tanimoto; Hironobu Fujiyoshi (MVA, 2021)

Facial landmark detection transfer learning for a specific user in driver status monitoring systems. - Jaechul Kim; Kensuke Taguchi; Yusuke Hayashi; Jungo Miyazaki; Hironobu Fujiyoshi (MVA, 2021)

Action Spotting and Temporal Attention Analysis in Soccer Videos. - Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Mitsuru Nakazawa; Yeongnam Chae; Björn Stenger (MVA, 2021)

Relational Subgraph for Graph-based Path Prediction. - Masaki Miyata; Katsutoshi Shiraki; Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2021)

3D Object Detection with Normal-map on Point Clouds. - Jishu Miao; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 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 (VISIGRAPP (5: VISAPP), 2021)

Collaborative Learning of Generative Adversarial Networks. - Takuya Tsukahara; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 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)

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)

ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition. - Masahiro Mitsuhara; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 2021)

Visual Explanation Generation Based on Lambda Attention Branch Networks. - Tsumugi Iida; Takumi Komatsu; Kanta Kaneda; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (ACCV (2), 2022)

Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. - Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ECCV (11), 2022)

Class-Wise FM-NMS for Knowledge Distillation of Object Detection. - Lyuzhuang Liu; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2022)

Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. - Sachi Iwata; Soma Minami; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICPR, 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 (ICPR, 2022)

Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles. - Tsuyoshi Goto; Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 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)

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)

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes. - Shungo Fujii; Yasunori Ishii; Kazuki Kozuka; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 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., 2022)

Detecting Data Drift with KS Test Using Attention Map. - Tsunemi Nitta; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (1), 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 (AIED (Posters/Late Breaking Results/...), 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 (BMVC, 2023)

Recommending Learning Actions Using Neural Network. - Hirokazu Kohama; Yuki Ban; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Akitoshi Itai; Hiroyasu Usami (ICCE, 2023)

Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning. - Hirokazu Kohama; Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICCV (Workshops), 2023)

This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. - Yuki Ukai; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICLR, 2023)

Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. - Hidenori Itaya; Tom Sagawa; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IJCNN, 2023)

Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. - Tenshi Ito; Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IJCNN, 2023)

Human-like Guidance with Gaze Estimation and Classification-based Text Generation. - Masaki Nambata; Kota Shimomura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2023)

Masking and Mixing Adversarial Training. - Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka (VISIGRAPP (4: VISAPP), 2023)

Complement Objective Mining Branch for Optimizing Attention Map. - Takaaki Iwayoshi; Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (4: VISAPP), 2023)

Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer. - Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2023)

1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention. - Takahiro Suzuki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2023)

Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion. - Kensuke Taguchi; Shogo Morita; Yusuke Hayashi; Wataru Imaeda; Hironobu Fujiyoshi (WACV, 2023)

Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. - Yuki Ukai; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 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)

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., 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, 2023)

Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. - Tomoya Nitta; Tsubasa Hirakawa; Hironobu Fujiyoshi; Toru Tamaki (IEICE Trans. Inf. Syst., 2023)

DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. - NguyenHuu BaoLong; Chenyu Zhang; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Tohgoroh Matsui; Hironobu Fujiyoshi (ACCV (10), 2024)

Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. - Koyo Imai; Naoto Hayashi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (8), 2024)

SAM Helps SSL: Mask-guided Attention Bias for Self-supervised Learning. - Kensuke Taguchi; Takehiko Kawai; Wataru Imaeda; Hironobu Fujiyoshi (BMVC, 2024)

Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models. - Yuki Hirohashi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR Workshops, 2024)

Potential Risk Localization via Weak Labeling out of Blind Spot. - Kota Shimomura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR Workshops, 2024)

Larval Hostplant Prediction from Luehdorfia japonica Image Using Multi-label ABN. - Tsubasa Hirakawa; Takaaki Arai; Takayoshi Yamashita; Hironobu Fujiyoshi; Yuichi Oba; Hiromichi Fukui; Masaya Yago (ECCV Workshops (2), 2024)

Layer-Wise Relevance Propagation with Conservation Property for ResNet. - Seitaro Otsuki; Tsumugi Iida; Félix Doublet; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (ECCV (43), 2024)

Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights. - Masaki Koike; Hirokazu Kohama; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (EDM, 2024)

Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition. - Ryota Kondo; Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2024)

Human-like Guidance by Generating Navigation Using Spatial-Temporal Scene Graph. - Hayato Suzuki; Kota Shimomura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Shota Okubo; Nanri Takuya; Wang Siyuan (IV, 2024)

High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. - Chenyu Zhang; Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2024)

Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. - Naoto Hayashi; Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 2024)

Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. - Shinichi Hoketsu; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 2024)

Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IEEE Access, 2024)

Caption-Guided Interpretable Video Anomaly Detection Based on Memory Similarity. - Yuzhi Shi; Takayoshi Yamashita; Tsubasa Hirakawa; Hironobu Fujiyoshi; Mitsuru Nakazawa; Yeongnam Chae; Björn Stenger (IEEE Access, 2024)

DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. - Nguyen Huu Bao Long; Chenyu Zhang; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Tohgoroh Matsui; Hironobu Fujiyoshi (CoRR, 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., 2024)

Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks. - Takumi Komatsu; Motonari Kambara; Shumpei Hatanaka; Haruka Matsuo; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (Adv. Robotics, 2024)

Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection. - Jinhyung Park; Navyata Sanghvi; Hiroki Adachi; Yoshihisa Shibata; Shawn Hunt; Shinya Tanaka; Hironobu Fujiyoshi; Kris Kitani (CVPR, 2025)

CRNLI: A Textual Entailment Dataset in the Chemistry Domain. - Chenhao Chen; Taiga Masuda; Yoshitaka Ushiku; Shohei Tanaka; Kuniaki Saito; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (TSD (2), 2025)

2D Motion Generation Using Joint Spatial Information with 2CM-GPT. - Ryota Inoue; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 2025)

Visual Explanation With Action Query Transformer in Deep Reinforcement Learning and Visual Feedback via Augmented Reality. - Hidenori Itaya; Wantao Yin; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IEEE Access, 2025)

Optimizing Knowledge Transfer Graph for Deep Collaborative Learning. - Soma Minami; Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2025)

Distilling Diverse Knowledge for Deep Ensemble Learning. - Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2025)

Learning Frequency-Aware Spatial Attention by Reconstructing Images With Different Frequency Responses. - Keisuke Sano; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2025)