Satoshi Tsutsui

Orcid: 0000-0001-8003-2616

According to our database1, Satoshi Tsutsui authored at least 32 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces.
CoRR, 2024

2023
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces.
CoRR, 2023

Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection.
CoRR, 2023

DeepfakeMAE: Facial Part Consistency Aware Masked Autoencoder for Deepfake Video Detection.
CoRR, 2023

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Benchmarking White Blood Cell Classification under Domain Shift.
Proceedings of the IEEE International Conference on Acoustics, 2023

All in One: Exploring Unified Video-Language Pre-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Novel View Synthesis for High-fidelity Headshot Scenes.
CoRR, 2022

AVA-AVD: Audio-visual Speaker Diarization in the Wild.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

From Token to Word: OCR Token Evolution via Contrastive Learning and Semantic Matching for Text-VQA.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Action Recognition based on Cross-Situational Action-object Statistics.
Proceedings of the IEEE International Conference on Development and Learning, 2022

2021
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors.
CoRR, 2021

Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers.
CoRR, 2021

Whose hand is this? Person Identification from Egocentric Hand Gestures.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
A Computational Model of Early Word Learning from the Infant's Point of View.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study.
CoRR, 2019

Information Systems Research: Thinking Outside the Basket and Beyond the Journal.
Commun. Assoc. Inf. Syst., 2019

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery.
BMC Bioinform., 2019

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
edge2vec: Learning Node Representation Using Edge Semantics.
CoRR, 2018

Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion.
CoRR, 2018

APNet: Semantic Segmentation for Pelvic MR Image.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Estimating Head Motion from Egocentric Vision.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Minimizing Supervision for Free-Space Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval.
J. Informetrics, 2017

Using Machine Reading to Understand Alzheimer's and Related Diseases from the Literature.
J. Data Inf. Sci., 2017

Superpixel clustering with deep features for unsupervised road segmentation.
CoRR, 2017

Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation.
CoRR, 2017

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Distantly Supervised Road Segmentation.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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