| 2026 | AIED | Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback. | Gen Li, Li Chen, Cheng Tang, Boxuan Ma, Yuncheng Jiang, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada |
| 2026 | ICPR | Few-Shot Adaptive Open-Set Object Detection with Personalized Scene Generation. | Yuzuru Nakamura, Yasunori Ishii, Takayoshi Yamashita |
| 2025 | AIED | From Reflections to Motifs: A Graph-Based Analysis of Learners' Knowledge Construction. | Gen Li, Li Chen, Cheng Tang, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada |
| 2025 | ICCV | OD-RASE: Ontology-Driven Risk Assessment and Safety Enhancement for Autonomous Driving. | Kota Shimomura, Masaki Nambata, Atsuya Ishikawa, Ryota Mimura, Koki Inoue, Takayoshi Yamashita, Takayuki Kawabuchi |
| 2025 | MVA | IG-ODAM: Instance-Aware Visual Explanations for Object Detection with Integrated Gradients. | Yuma Nakai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2025 | MVA | Bidirectional Action Sequence Learning for Long-term Action Anticipation with Large Language Models. | Yuji Sato, Yasunori Ishii, Takayoshi Yamashita |
| 2025 | PAKDD | Single-agent vs. Multi-agent LLM Strategies for Automated Student Reflection Assessment. | Gen Li, Li Chen, Cheng Tang, Valdemar Svbensk, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada |
| 2025 | VISIGRAPP | 2D Motion Generation Using Joint Spatial Information with 2CM-GPT. | Ryota Inoue, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2025 | VISIGRAPP | VLLM Guided Human-Like Guidance Navigation Generation. | Masaki Nambata, Tsubasa Hirakawa, Takayoshi Yamashita, Hirobobu Fujiyoshi, Takehito Teraguchi, Shota Okubo, Takuya Nanri |
| 2024 | ACCV | DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. | NguyenHuu BaoLong, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi |
| 2024 | ACCV | Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. | Koyo Imai, Naoto Hayashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | CVPR | Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models. | Yuki Hirohashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | CVPR | Active Domain Adaptation with False Negative Prediction for Object Detection. | Yuzuru Nakamura, Yasunori Ishii, Takayoshi Yamashita |
| 2024 | CVPR | Potential Risk Localization via Weak Labeling out of Blind Spot. | Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | CVPR | Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption. | Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita |
| 2024 | CVPR | Overlap Suppression Clustering for Offline Multi-Camera People Tracking. | Ryuto Yoshida, Junichi Okubo, Junichiro Fujii, Masazumi Amakata, Takayoshi Yamashita |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Layer-Wise Relevance Propagation with Conservation Property for ResNet. | Seitaro Otsuki, Tsumugi Iida, Flix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2024 | EDM | 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 |
| 2024 | ICIP | Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition. | Ryota Kondo, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | KSEM | LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education. | Gen Li, Cheng Tang, Li Chen, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada |
| 2024 | WACV | Learning Intra-class Multimodal Distributions with Orthonormal Matrices. | Jumpei Goto, Yohei Nakata, Kiyofumi Abe, Yasunori Ishii, Takayoshi Yamashita |
| 2024 | VISIGRAPP | Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. | Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | VISIGRAPP | Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. | Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | AIED | 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 |
| 2023 | BMVC | 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 |
| 2023 | ICCE | Recommending Learning Actions Using Neural Network. | Hirokazu Kohama, Yuki Ban, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Akitoshi Itai, Hiroyasu Usami |
| 2023 | ICLR | This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. | Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | IJCNN | Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. | Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | IJCNN | Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. | Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | MVA | 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 |
| 2022 | ACCV | Visual Explanation Generation Based on Lambda Attention Branch Networks. | Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2022 | ACCV | Few-shot Adaptive Object Detection with Cross-Domain CutMix. | Yuzuru Nakamura, Yasunori Ishii, Yuki Maruyama, Takayoshi Yamashita |
| 2022 | ECCV | Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. | Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | ECCV | Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion. | Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita |
| 2022 | ICIP | Class-Wise FM-NMS for Knowledge Distillation of Object Detection. | Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | ICPR | Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. | Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | ICPR | Action Spotting in Soccer Videos Using Multiple Scene Encoders. | Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Bjrn Stenger |
| 2021 | ICCE | Performance Prediction and Importance Analysis Using Transformer. | Akiyoshi Satake, Hironobu Fujiyoshi, Takayoshi Yamashita |
| 2021 | ICIP | Semantic Segmentation And Change Detection By Multi-Task U-Net. | Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2021 | IJCNN | Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. | Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2021 | IROS | Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. | Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2021 | MVA | Attention Mining Branch for Optimizing Attention Map. | Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2021 | MVA | Action Spotting and Temporal Attention Analysis in Soccer Videos. | Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Bjrn Stenger |
| 2021 | MVA | Relational Subgraph for Graph-based Path Prediction. | Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ACCV | Knowledge Transfer Graph for Deep Collaborative Learning. | Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ACCV | Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. | Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ECCV | Privacy-Aware Face Recognition with Lensless Multi-pinhole Camera. | Yasunori Ishii, Satoshi Sato, Takayoshi Yamashita |
| 2020 | ICPR | Improving reliability of attention branch network by introducing uncertainty. | Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ICRA | 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 |
| 2019 | CVPR | Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. | Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | HCI | Recognition of Listener's Nodding by LSTM Based on Movement of Facial Keypoints and Speech Intonation. | Takayoshi Yamashita, Maya Nakagawa, Hironobu Fujiyoshi, Yuji Haikawa |
| 2019 | ICRA | Fast and Precise Detection of Object Grasping Positions with Eigenvalue Templates. | Kousuke Mano, Takahiro Hasegawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yukiyasu Domae |
| 2019 | IROS | Detecting layered structures of partially occluded objects for bin picking. | Yusuke Inagaki, Ryosuke Araki, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | MVA | Gradual Sampling Gate for Bidirectional Knowledge Distillation. | Soma Minami, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | MVA | Domain Adaptation using a Gradient Reversal Layer with Instance Weighting. | Kosuke Osumi, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | MVA | Cooking Video Summarization Guided By Matching with Step-By-Step Recipe Photos. | Ryo Sobue, Mitsuru Nakazawa, Yeongnam Chae, Bjrn Stenger, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | PERCOM | Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. | Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2018 | HCI | Survey on Vision-Based Path Prediction. | Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi |
| 2018 | HCI | Sensing, Perception and Decision for Deep Learning Based Autonomous Driving. | Takayoshi Yamashita |
| 2018 | ICIP | Compactification of Affine Transformation Filter Using Tensor Decomposition. | Kohei Kawai, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2018 | ICIP | Multiple Skip Connections of Dilated Convolution Network for Semantic Segmentation. | Takayoshi Yamashita, Hironori Furukawa, Hironobu Fujiyoshi |
| 2018 | LAK | On the Prediction of Students' Quiz Score by Recurrent Neural Network. | Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, Shin'ichi Konomi |
| 2017 | BMVC | Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition. | Takato Kurokawa, Yuji Yamauchi, Mitsuru Ambai, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2017 | ICCE | Students' Performance Prediction Using Data of Multiple Courses by Recurrent Neural Network. | Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Shin'ichi Konomi |
| 2017 | LAK | A neural network approach for students' performance prediction. | Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Hiroaki Ogata |
| 2016 | ACCV | Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning. | Hiroshi Fukui, Takayoshi Yamashita, Yuu Kato, Ryo Matsui, Takanori Ogata, Yuji Yamauchi, Hironobu Fujiyoshi |
| 2016 | ICPR | Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network. | Takayoshi Yamashita, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi |
| 2016 | ICPRAM | Design of a Low-false-positive Gesture for a Wearable Device. | Ryo Kawahata, Atsushi Shimada, Takayoshi Yamashita, Hideaki Uchiyama, Rin-Ichiro Taniguchi |
| 2015 | ICCV | Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. | Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2015 | ICIP | Facial point detection based on a convolutional neural network with optimal mini-batch procedure. | Masatoshi Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi |
| 2015 | ICIP | SWAP-NODE: A regularization approach for deep convolutional neural networks. | Takayoshi Yamashita, Masayuki Tanaka, Yuji Yamauchi, Hironobu Fujiyoshi |
| 2015 | ICIP | Facial point detection using convolutional neural network transferred from a heterogeneous task. | Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi |
| 2015 | IROS | Fast 3D edge detection by using decision tree from depth image. | Masaya Kaneko, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi, Hiroshi Murase |
| 2015 | MVA | Fast discrimination by early judgment using linear classifier. | Takato Kurokawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2015 | MVA | Weighted Hough Forest for object detection. | Yosuke Murai, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2014 | ACCV | Asymmetric Feature Representation for Object Recognition in Client Server System. | Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita |
| 2014 | ICIP | Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning. | Takayoshi Yamashita, Taro Watasue |
| 2014 | ICPR | To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann Machine. | Takayoshi Yamashita, Masayuki Tanaka, Eiji Yoshida, Yuji Yamauchi, Hironobu Fujiyoshi |
| 2014 | SIGGRAPH | Facial fattening and slimming simulation considering skull structure. | Masahiro Fujisaki, Daiki Kuwahara, Taro Nakamura, Akinobu Maejima, Takayoshi Yamashita, Shigeo Morishima |
| 2013 | ICASSP | Robust object tracking using a context based on the relation of object and background. | Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2013 | ICIAP | A Subunit-Based Dynamic Time Warping Approach for Hand Movement Recognition. | Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi |
| 2012 | ICIP | Adaptation of boosted pedestrian detectors by feature reselection. | Zhifang Liu, Genquan Duan, Haizhou Ai, Takayoshi Yamashita |
| 2012 | ICPRAM | How to Select Useful Hand Shapes for Hand Gesture Recognition System. | Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi |
| 2010 | ACCV | Human Pose Estimation Using Exemplars and Part Based Refinement. | Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shihong Lao |
| 2010 | CVPR | Feature co-occurrence representation based on boosting for object detection. | Yuji Yamauchi, Masanari Takagi, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2010 | ICPR | Combined Top-Down/Bottom-Up Human Articulated Pose Estimation Using AdaBoost Learning. | Sheng Wang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao |
| 2009 | ACCV | Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features. | Tatsuya Tanaka, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita |
| 2009 | ICCV | SURF Tracking. | Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong Lao |
| 2008 | ICPR | Human tracking based on Soft Decision Feature and online real boosting. | Takayoshi Yamashita, Hironobu Fujiyoshi, Shihong Lao, Masato Kawade |
| 2007 | CVPR | 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 |
| 2007 | ICASSP | Online Real Boosting for Object Tracking Under Severe Appearance Changes and Occlusion. | Li Xu, Takayoshi Yamashita, Shihong Lao, Masato Kawade, Feihu Qi |
| 2007 | ICCV | Incremental Learning of Boosted Face Detector. | Chang Huang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade |