Yamasaki, Toshihiko

Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

Inoue, N., Furuta, R., Yamasaki, T., & Aizawa, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 616

Detecting Deepfakes with Self-Blended Images

Shiohara, K., & Yamasaki, T. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 503

An Improved Inter-Intra Contrastive Learning Framework on Self-Supervised Video Representation

Tao, L., Wang, X., & Yamasaki, T. (2022) · IEEE Transactions on Circuits and Systems for Video Technology

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 50

Interactive manga retargeting

Matsui, Y., Yamasaki, T., & Aizawa, K. (2011) · ACM SIGGRAPH 2011 Posters

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 18

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks

Miyai, A., Zhao, Z., Egashira, K., Sato, A., Sunada, T., Onohara, S., Yamanishi, H., Toyooka, M., Nishina, K., Maeda, R., et al. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 2