Agent Handling with VR Technology and Spatial Programming for Information Aggregation in Plants. - Hiroki Takahashi; Osamu Yoshie (iiWAS, 2004)

Towards Ubiquitous Maintenance - Defining Invocation of Plant Maintenance Agents in Real Workspace by Spatial Programming. - Hiroki Takahashi; Osamu Yoshie (INAP/WLP, 2004)

Color Transformation Method for Universal Web View. - Yayori Kasagi; Hiroki Takahashi; Osamu Yoshie (iiWAS, 2005)

Low Cost Rendering Method for Virtual Factory Considering Interpolation of Occluded Objects. - Hiroki Takahashi; Naoyuki Tamura; Toshihiko Furue; Osamu Yoshie (J. Mobile Multimedia, 2007)

Query-biased summarization considering difference of paragraphs. - Chikara Otani; Yasushi Oda; Osamu Yoshie (iiWAS, 2010)

Decision forest for multivariate time series analysis. - Ning He; Leyang Li; Osamu Yoshie (iiWAS, 2011)

Exploring the role of drama and storyboarding in learner-centered scenario generation. - Samiullah Paracha; Osamu Yoshie (Intell. Decis. Technol., 2011)

Improving human activity recognition using subspace clustering. - Huiquan Zhang; Osamu Yoshie (ICMLC, 2012)

Consensus building analysis using entropy in BBS tree. - Ning He; Yasushi Oda; Chikara Otani; Osamu Yoshie (iiWAS, 2012)

Decision forest: an algorithm for classifying multivariate time series. - Ning He; Leyang Li; Osamu Yoshie (Int. J. Bus. Intell. Data Min., 2012)

A Robust Interactive Narrative Framework for Edutainment. - Samiullah Paracha; Osamu Yoshie (Int. J. Interact. Commun. Syst. Technol., 2012)

Facial expression recognition by analyzing features of conceptual regions. - Huiquan Zhang; Sha Luo; Osamu Yoshie (ICIS, 2013)

Conversation Analysis Based on Interpersonal Relationship in Consensus Building. - Ning He; Osamu Yoshie (iiWAS, 2013)

Using Planning with Action Preference in Story Generation. - Xiaobo Li; Samiullah Paracha; Jiao Wu; Osamu Yoshie (MoMM, 2013)

A Fusion Approach for Facial Expression Using Local Binary Pattern and a Pseudo 3D Face Model. - Huiquan Zhang; Osamu Yoshie (SNPD, 2013)

Emotional speech classification in consensus building. - Ning He; Shuoqing Yao; Osamu Yoshie (COMM, 2014)

Micro-expression recognition by feature points tracking. - Shuoqing Yao; Ning He; Huiquan Zhang; Osamu Yoshie (COMM, 2014)

A QoS guaranteed channel allocation algorithm in multi-cell OFDMA network with reduced feedback. - Wenhan Yang; Osamu Yoshie (ICUFN, 2015)

Multi-party Interactive Visioneering Workshop for Smart Connected Products in Global Manufacturing Industry Considering PLM. - Satoshi Goto; Elio Trolio; Osamu Yoshie; Kin'ya Tamaki (PLM, 2016)

A passive means based privacy protection method for the perceptual layer of IoTs. - Xiaoyu Li; Osamu Yoshie; Daoping Huang (iiWAS, 2016)

Non-native English speakers' speech correction, based on domain focused document. - Kacper Radzikowski; Le Wang; Osamu Yoshie (iiWAS, 2016)

Preliminary Study on Workshop Facilitation for IoT Innovation as Industry-University Collaboration PLM Program for Small and Medium Sized Enterprises. - Satoshi Goto; Osamu Yoshie; Shigeru Fujimura 001; Kin'ya Tamaki (PLM, 2017)

A passive method for privacy protection in the perceptual layer of IoTs. - Xiaoyu Li; Osamu Yoshie; Daoping Huang (Int. J. Pervasive Comput. Commun., 2017)

Design for IoT Business Modeling Workshop: A Case Study of Collaborative University-Industry Education Program. - Satoshi Goto; Osamu Yoshie; Shigeru Fujimura 001 (PLM, 2018)

A new multilayer optical film optimal method based on deep q-learning. - Anqing Jiang; Osamu Yoshie; LiangYao Chen (CoRR, 2018)

Empirical Study of Multi-party Workshop Facilitation in Strategy Planning Phase for Product Lifecycle Management System. - Satoshi Goto; Osamu Yoshie; Shigeru Fujimura 001 (PLM, 2019)

Accent neutralization for speech recognition of non-native speakers. - Kacper Radzikowski; Mateusz Forc; Le Wang; Osamu Yoshie; Robert Nowak 002 (iiWAS, 2019)

Dual supervised learning for non-native speech recognition. - Kacper Radzikowski; Robert Nowak 002; Le Wang; Osamu Yoshie (EURASIP J. Audio Speech Music. Process., 2019)

NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing. - Xin Huang; Zheng Ge; Zequn Jie; Osamu Yoshie (CVPR, 2020)

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. - Quan Cui; Qing-Yuan Jiang; Xiu-Shen Wei; Wu-Jun Li; Osamu Yoshie (ECCV (3), 2020)

PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression. - Zheng Ge; Zequn Jie; Xin Huang; Rong Xu; Osamu Yoshie (ICME, 2020)

DualBox: Generating BBox Pair with Strong Correspondence via Occlusion Pattern Clustering and Proposal Refinement. - Zheng Ge; Chuyu Hu; Xin Huang; Baiqiao Qiu; Osamu Yoshie (ICPR, 2020)

Support software for Automatic Speech Recognition systems targeted for non-native speech. - Kacper Radzikowski; Osamu Yoshie; Robert M. Nowak (iiWAS, 2020)

Delving into the Imbalance of Positive Proposals in Two-stage Object Detection. - Zheng Ge; Zequn Jie; Xin Huang; Chengzheng Li; Osamu Yoshie (CoRR, 2020)

Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis. - Somayyeh Taheri; Maziar Goudarzi; Osamu Yoshie (J. Big Data, 2020)

OTA: Optimal Transport Assignment for Object Detection. - Zheng Ge; Songtao Liu; Zeming Li; Osamu Yoshie; Jian Sun 001 (CVPR, 2021)

A Reinforcement learning method for Optical Thin-Film Design. - Anqing Jiang; LiangYao Chen; Osamu Yoshie (CoRR, 2021)

PP-YOLOv2: A Practical Object Detector. - Xin Huang; Xinxin Wang; Wenyu Lv; Xiaying Bai; Xiang Long; Kaipeng Deng; Qingqing Dang; Shumin Han; Qiwen Liu; Xiaoguang Hu; Dianhai Yu; Yanjun Ma; et al. (CoRR, 2021)

ZeroVL: A Strong Baseline for Aligning Vision-Language Representations with Limited Resources. - Quan Cui; Boyan Zhou; Yu Guo; Weidong Yin; Hao Wu; Osamu Yoshie (CoRR, 2021)

Accent modification for speech recognition of non-native speakers using neural style transfer. - Kacper Radzikowski; Le Wang; Osamu Yoshie; Robert M. Nowak (EURASIP J. Audio Speech Music. Process., 2021)

Delving deep into the imbalance of positive proposals in two-stage object detection. - Zheng Ge; Zequn Jie; Xin Huang; Chengzheng Li; Osamu Yoshie (Neurocomputing, 2021)

LLA: Loss-aware label assignment for dense pedestrian detection. - Zheng Ge; Jianfeng Wang; Xin Huang; Songtao Liu; Osamu Yoshie (Neurocomputing, 2021)

Analysis of Gastrointestinal Acoustic Activity Using Deep Neural Networks. - Jakub Ficek; Kacper Radzikowski; Jan Krzysztof Nowak; Osamu Yoshie; Jaroslaw Walkowiak; Robert Nowak 002 (Sensors, 2021)

Application of Multi-modal Fusion Attention Mechanism in Semantic Segmentation. - Yunlong Liu; Osamu Yoshie; Hiroshi Watanabe 001 (ACCV (7), 2022)

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective. - Quan Cui; Bingchen Zhao; Zhao-Min Chen; Borui Zhao; Renjie Song; Boyan Zhou; Jiajun Liang; Osamu Yoshie (ECCV (26), 2022)

Contrastive Vision-Language Pre-training with Limited Resources. - Quan Cui; Boyan Zhou; Yu Guo; Weidong Yin; Hao Wu; Osamu Yoshie; Yubo Chen 004 (ECCV (36), 2022)

TRC-Unet: Transformer Connections for Near-infrared Blurred Image Segmentation. - Jiazhe Wang; Osamu Yoshie; Koichi Shimizu (ICPR, 2022)

Edge Encoded Attention Mechanism to Solve Capacitated Vehicle Routing Problem with Reinforcement Learning. - Getu Fellek; Goytom Gebreyesus; Ahmed Farid; Shigeru Fujimura 001; Osamu Yoshie (IEEM, 2022)

A Reinforcement Learning Method for Optical Thin-Film Design. - Anqing Jiang; Osamu Yoshie (IEICE Trans. Electron., 2022)

Delving into the representation learning of deep hashing. - Quan Cui; Zhao-Min Chen; Osamu Yoshie (Neurocomputing, 2022)

SST: Spatial and Semantic Transformers for Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Borui Zhao; Ren-Jie Song; Xiaoqin Zhang 002; Osamu Yoshie (IEEE Trans. Image Process., 2022)

A Simple Framework for Text-Supervised Semantic Segmentation. - Muyang Yi; Quan Cui; Hao Wu; Cheng Yang; Osamu Yoshie; Hongtao Lu 001 (CVPR, 2023)

Deep Graph Representation Learning to Solve Vehicle Routing Problem. - Getu Fellek; Ahmed Farid; Goytom Gebreyesus; Shigeru Fujimura 001; Osamu Yoshie (ICMLC, 2023)

Matching Intentions for Discourse Parsing in Multi-party Dialogues. - Tiezheng Mao; Jialing Fu; Osamu Yoshie; Yimin Fu; Zhuyun Li (IEA/AIE (2), 2023)

Vision Learners Meet Web Image-Text Pairs. - Bingchen Zhao; Quan Cui; Hao Wu; Osamu Yoshie; Cheng Yang (CoRR, 2023)

GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection. - Weixin Mao; Jinrong Yang; Zheng Ge; Lin Song 002; Hongyu Zhou; Tiezheng Mao; Zeming Li; Osamu Yoshie (CoRR, 2023)

BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection. - Kang Zhang; Osamu Yoshie; Weiran Huang 001 (CoRR, 2024)

What Do You Want? User-centric Prompt Generation for Text-to-image Synthesis via Multi-turn Guidance. - Yilun Liu 001; Minggui He; Feiyu Yao; Yuhe Ji; Shimin Tao; Jingzhou Du; Duan Li; Jian Gao; Li Zhang; Hao Yang 006; Boxing Chen; Osamu Yoshie (CoRR, 2024)

RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World. - Weixin Mao; Weiheng Zhong; Zhou Jiang; Dong Fang; Zhongyue Zhang; Zihan Lan; Fan Jia; Tiancai Wang; Haoqiang Fan; Osamu Yoshie (CoRR, 2024)

G-DGANet: Gated deep graph attention network with reinforcement learning for solving traveling salesman problem. - Getu Fellek; Ahmed Farid; Shigeru Fujimura 001; Osamu Yoshie; Goytom Gebreyesus (Neurocomputing, 2024)

Learning hierarchical discrete prior for co-speech gesture generation. - Jian Zhang; Osamu Yoshie (Neurocomputing, 2024)

Seeing both sides: context-aware heterogeneous graph matching networks for extracting-related arguments. - Tiezheng Mao; Osamu Yoshie; Jialing Fu; Weixin Mao (Neural Comput. Appl., 2024)

Vision Learners Meet Web Image-Text Pairs. - Bingchen Zhao; Quan Cui; Hao Wu; Osamu Yoshie; Cheng Yang; Oisin Mac Aodha (Trans. Mach. Learn. Res., 2024)

Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing. - Tiezheng Mao; Tianyong Hao; Jialing Fu; Osamu Yoshie (Inf. Process. Manag., 2024)

ARM : nnU-Net with Arena Mechanism for Medical Image Segmentation. - Haoran Luo; Cong Guan; Tengfei Shao; Shenglei Li; Tomoji Kishi; Osamu Yoshie (ICASSP, 2025)

MetaCert: Metabolic Attention Network Utilizing Uncertainty Estimation for Multimodal Aspect-Category-Sentiment Triple Extraction. - Haoran Luo; Cong Guan; Tengfei Shao; Shenglei Li; Tomoji Kishi; Osamu Yoshie (ICASSP, 2025)

FinLLM-B: When Large Language Models Meet Financial Breakout Trading. - Kang Zhang; Osamu Yoshie; Lichao Sun 001; Weiran Huang 001 (NAACL (Industry Track), 2025)

MM-instruct: Generated visual instructions for large multimodal model alignment. - Xin Huang; Jihao Liu; Jinliang Zheng; Boxiao Liu; Jia Wang; Yu Liu 015; Hongsheng Li 001; Osamu Yoshie (Neurocomputing, 2025)

FastTalker: An unified framework for generating speech and conversational gestures from text. - Jian Zhang; Zixin Guo; Minggui He; Osamu Yoshie (Neurocomputing, 2025)

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning. - Minggui He; Yilun Liu 001; Shimin Tao; Yuanchang Luo; Hongyong Zeng; Chang Su 001; Li Zhang; Hongxia Ma; Daimeng Wei; Weibin Meng; Hao Yang 006; Boxing Chen; et al. (CoRR, 2025)

Deep reinforcement learning-based spatio-temporal graph neural network for solving job shop scheduling problem. - Goytom Gebreyesus; Getu Fellek; Ahmed Farid; Sicheng Hou; Shigeru Fujimura 001; Osamu Yoshie (Evol. Intell., 2025)

PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-Based 3D Object Detection. - Weixin Mao; Tiancai Wang; Diankun Zhang; Junjie Yan; Osamu Yoshie (IEEE Trans. Intell. Veh., 2025)

PADriver: Towards Personalized Autonomous Driving. - Genghua Kou; Fan Jia; Weixin Mao; Yingfei Liu; Yucheng Zhao; Ziheng Zhang; Osamu Yoshie; Tiancai Wang; Ying Li 036; Xiangyu Zhang 005 (CoRR, 2025)

Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation. - Feifan Wang; Tengfei Song; Minggui He; Chang Su 001; Zhanglin Wu; Hao Yang 006; Wenming Zheng; Osamu Yoshie (CoRR, 2025)

CLIP-driven rain perception: Adaptive deraining with pattern-aware network routing and mask-guided cross-attention. - Cong Guan; Osamu Yoshie (CoRR, 2025)

DM3Net: Dual-Camera Super-Resolution via Domain Modulation and Multi-scale Matching. - Cong Guan; Jiacheng Ying; Yuya Ieiri; Osamu Yoshie (CoRR, 2025)

Conducting patch contrastive learning with mixture of experts on mixed datasets for medical image segmentation. - Jiazhe Wang; Osamu Yoshie; Yuya Ieiri (Neural Comput. Appl., 2025)

BFA: Best-Feature-Aware Fusion for Multi-View Fine-Grained Manipulation. - Zihan Lan; Weixin Mao; Haosheng Li; Le Wang; Tiancai Wang; Haoqiang Fan; Osamu Yoshie (IEEE Robotics Autom. Lett., 2025)

A learnable transformer decoder for blurred near-infrared blood vessel segmentation using domain adaptation with limited data. - Jiazhe Wang; Yuya Ieiri; Osamu Yoshie; Koichi Shimizu (Biomed. Signal Process. Control., 2026)