Distantly Supervised Road Segmentation. - Satoshi Tsutsui; Shunta Saito; Tommi Kerola (ICCV Workshops, 2017)

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks. - Satoshi Tsutsui; David J. Crandall (ICDAR, 2017)

Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation. - Satoshi Tsutsui; David J. Crandall (CoRR, 2017)

Superpixel clustering with deep features for unsupervised road segmentation. - Shunta Saito; Tommi Kerola; Satoshi Tsutsui (CoRR, 2017)

Using Machine Reading to Understand Alzheimer's and Related Diseases from the Literature. - Satoshi Tsutsui; Yi Bu 001; Ying Ding 001 (J. Data Inf. Sci., 2017)

Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval. - Baitong Chen; Satoshi Tsutsui; Ying Ding 001; Feicheng Ma 001 (J. Informetrics, 2017)

Minimizing Supervision for Free-Space Segmentation. - Satoshi Tsutsui; Tommi Kerola; Shunta Saito; David J. Crandall (CVPR Workshops, 2018)

Estimating Head Motion from Egocentric Vision. - Satoshi Tsutsui; Sven Bambach; David J. Crandall; Chen Yu 001 (ICMI, 2018)

APNet: Semantic Segmentation for Pelvic MR Image. - Ting-Ting Liang; Mengyan Sun; Liangcai Gao; Jing-Jing Lu; Satoshi Tsutsui (PRCV (2), 2018)

Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion. - Ting-Ting Liang; Satoshi Tsutsui; Liangcai Gao; Jing-Jing Lu; Mengyan Sun (CoRR, 2018)

edge2vec: Learning Node Representation Using Edge Semantics. - Zheng Gao 001; Gang Fu; Chunping Ouyang; Satoshi Tsutsui; Xiaozhong Liu; Ying Ding 001 (CoRR, 2018)

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. - Satoshi Tsutsui; Yanwei Fu 001; David J. Crandall (NeurIPS, 2019)

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. - Zheng Gao 001; Gang Fu; Chunping Ouyang; Satoshi Tsutsui; Xiaozhong Liu; Jeremy J. Yang; Christopher Gessner; Brian Foote; David J. Wild 001; Ying Ding 001; Qi Yu 005 (BMC Bioinform., 2019)

Information Systems Research: Thinking Outside the Basket and Beyond the Journal. - Brian Fitzgerald 001; Alan R. Dennis; Juyoung An; Satoshi Tsutsui; Rishikesh C. Muchala (Commun. Assoc. Inf. Syst., 2019)

Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. - Satoshi Tsutsui; Dian Zhi; Md. Alimoor Reza; David J. Crandall; Chen Yu 001 (CoRR, 2019)

A Computational Model of Early Word Learning from the Infant's Point of View. - Satoshi Tsutsui; Arjun Chandrasekaran; Md. Alimoor Reza; David J. Crandall; Chen Yu 001 (CogSci, 2020)

Whose hand is this? Person Identification from Egocentric Hand Gestures. - Satoshi Tsutsui; Yanwei Fu 001; David J. Crandall (WACV, 2021)

Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers. - Satoshi Tsutsui; David J. Crandall; Chen Yu 001 (CoRR, 2021)

How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors. - Satoshi Tsutsui; Ruta Desai; Karl Ridgeway (CoRR, 2021)

Action Recognition based on Cross-Situational Action-object Statistics. - Satoshi Tsutsui; Xizi Wang; Guangyuan Weng; Yayun Zhang; David J. Crandall; Chen Yu 001 (ICDL, 2022)

From Token to Word: OCR Token Evolution via Contrastive Learning and Semantic Matching for Text-VQA. - Zan-Xia Jin; Mike Zheng Shou; Fang Zhou; Satoshi Tsutsui; Jingyan Qin; Xu-Cheng Yin (ACM Multimedia, 2022)

AVA-AVD: Audio-visual Speaker Diarization in the Wild. - Eric Zhongcong Xu; Zeyang Song; Satoshi Tsutsui; Chao Feng; Mang Ye; Mike Zheng Shou (ACM Multimedia, 2022)

Novel View Synthesis for High-fidelity Headshot Scenes. - Satoshi Tsutsui; Weijia Mao; Sijing Lin; Yunyi Zhu; Murong Ma; Mike Zheng Shou (CoRR, 2022)

All in One: Exploring Unified Video-Language Pre-Training. - Jinpeng Wang 001; Yixiao Ge; Rui Yan 001; Yuying Ge; Kevin Qinghong Lin; Satoshi Tsutsui; Xudong Lin 003; Guanyu Cai; Jianping Wu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CVPR, 2023)

Benchmarking White Blood Cell Classification under Domain Shift. - Satoshi Tsutsui; Zhengyang Su; Bihan Wen (ICASSP, 2023)

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Satoshi Tsutsui; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (ACM Multimedia, 2023)

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes. - Satoshi Tsutsui; Winnie Pang; Bihan Wen (NeurIPS, 2023)

DeepfakeMAE: Facial Part Consistency Aware Masked Autoencoder for Deepfake Video Detection. - Juan Hu; Xin Liao 001; Difei Gao; Satoshi Tsutsui; Zheng Qin 001; Mike Zheng Shou (CoRR, 2023)

Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection. - Juan Hu; Xin Liao 001; Difei Gao; Satoshi Tsutsui; Qian Wang; Zheng Qin 001; Mike Zheng Shou (CoRR, 2023)

Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces. - Juan Hu; Xin Liao 001; Difei Gao; Satoshi Tsutsui; Qian Wang; Zheng Qin 001; Mike Zheng Shou (CoRR, 2023)

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces. - Juan Hu; Xin Liao 001; Difei Gao; Satoshi Tsutsui; Qian Wang; Zheng Qin 001; Mike Zheng Shou (IJCAI, 2024)

Integrating Clinical Knowledge into Concept Bottleneck Models. - Winnie Pang; Xueyi Ke; Satoshi Tsutsui; Bihan Wen (MICCAI (4), 2024)

Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models. - Xiyu Wang; Yufei Wang 006; Satoshi Tsutsui; Weisi Lin; Bihan Wen; Alex C. Kot (ACM Multimedia, 2024)

Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition. - Satoshi Tsutsui; Yanwei Fu 001; David J. Crandall (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning. - Xueyi Ke; Satoshi Tsutsui; Yayun Zhang; Bihan Wen (CVPR, 2025)

Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model. - Yuxuan Cai 002; Xiyu Wang; Satoshi Tsutsui; Winnie Pang; Bihan Wen (CoRR, 2025)

Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data. - Ziwang Xu; Lanqing Guo; Satoshi Tsutsui; Shuyan Zhang; Alex C. Kot; Bihan Wen (CoRR, 2025)