90 citations · 256 across the 27 of their papers we have counts for
27 papers
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
Juan Hu, Xin Liao, Difei Gao +4
The exploitation of Deepfake techniques for malicious intentions has driven significant research interest in Deepfake detection. Deepfake manipulations frequently introduce random…
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
Satoshi Tsutsui, Winnie Pang, Bihan Wen
The examination of blood samples at a microscopic level plays a fundamental role in clinical diagnostics, influencing a wide range of medical conditions. For instance, an in-depth…
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
Juan Hu, Xin Liao, Difei Gao +4
Deepfake techniques have been widely used for malicious purposes, prompting extensive research interest in developing Deepfake detection methods. Deepfake manipulations typically i…
Benchmarking White Blood Cell Classification Under Domain Shift
Satoshi Tsutsui, Zhengyang Su, Bihan Wen
Recognizing the types of white blood cells (WBCs) in microscopic images of human blood smears is a fundamental task in the fields of pathology and hematology. Although previous stu…
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
Juan Hu, Xin Liao, Difei Gao +4
Deepfake techniques have been widely used for malicious purposes, prompting extensive research interest in developing Deepfake detection methods. Deepfake manipulations typically i…
Cluster Toroidal Multipoles Formed by Electric-Quadrupole and Magnetic-Octupole Trimers: A Possible Scenario for Hidden Orders in CaIrO
Satoru Hayami, Satoshi Tsutsui, Hiroki Hanate +3
Cluster multipole orderings composed of atomic high-rank multipole moments are theoretically investigated with a 5-electron compound CaIrO in mind. CaIrO$…
Multigap Superconductivity in the Filled-Skutterudite Compound LaRuAs probed by muon spin rotation
A. Bhattacharyya, D. T. Adroja, M. M. Koza +3
Muon spin rotation (SR) and inelastic X-ray scattering (IXS) were used to investigate the superconducting properties of the filled-skutterudite compound LaRuAs. A t…
Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng +3
Machine learning models of visual action recognition are typically trained and tested on data from specific situations where actions are associated with certain objects. It is an o…
Novel View Synthesis for High-fidelity Headshot Scenes
Satoshi Tsutsui, Weijia Mao, Sijing Lin +3
Rendering scenes with a high-quality human face from arbitrary viewpoints is a practical and useful technique for many real-world applications. Recently, Neural Radiance Fields (Ne…
Bayesian Inference on Hamiltonian Selections for Mössbauer Spectroscopy
Ryota Moriguchi, Satoshi Tsutsui, Shun Katakami +3
Mössbauer spectroscopy, which provides knowledge related to electronic states in materials, has been applied to various fields such as condensed matter physics and material science…
Bulk charge density wave and electron-phonon coupling in superconducting copper oxychlorides
Laura Chaix, Blair W. Lebert, Hu Miao +18
Bulk charge density waves are now reported in nearly all high-temperature superconducting cuprates, with the noticeable exception of one particular family: the copper oxychlorides.…
LO-mode phonon of KCl and NaCl at 300 K by inelastic X ray scattering measurements and first principles calculations
Atsushi Togo, Hiroyuki Hayashi, Terumasa Tadano +2
Longitudinal-optical (LO) mode phonon branches of KCl and NaCl were measured using inelastic X-ray scattering (IXS) at 300 K and calculated by the first-principles phonon calculati…
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
One-shot fine-grained visual recognition often suffers from the problem of having few training examples for new fine-grained classes. To alleviate this problem, off-the-shelf image…
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
Understanding users' activities from head-mounted cameras is a fundamental task for Augmented and Virtual Reality (AR/VR) applications. A typical approach is to train a classifier…
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
Satoshi Tsutsui, David Crandall, Chen Yu
We analyze egocentric views of attended objects from infants. This paper shows 1) empirical evidence that children's egocentric views have more diverse distributions compared to ad…
Whose hand is this? Person Identification from Egocentric Hand Gestures
Satoshi Tsutsui, Yanwei Fu, David Crandall
Recognizing people by faces and other biometrics has been extensively studied in computer vision. But these techniques do not work for identifying the wearer of an egocentric (firs…
A Computational Model of Early Word Learning from the Infant's Point of View
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza +2
Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences. Researchers in cognitive science…
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
One-shot fine-grained visual recognition often suffers from the problem of training data scarcity for new fine-grained classes. To alleviate this problem, an off-the-shelf image ge…
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza +2
Inspired by the remarkable ability of the infant visual learning system, a recent study collected first-person images from children to analyze the `training data' that they receive…
Evidence of a structural quantum critical point in (CaSr)RhSn from a lattice dynamics study
Y. W. Cheung, Y. J. Hu, M. Imai +11
Approaching a quantum critical point (QCP) has been an effective route to stabilize superconductivity. While the role of magnetic QCPs has been extensively discussed, similar explo…
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
Zheng Gao, Gang Fu, Chunping Ouyang +8
Representation learning provides new and powerful graph analytical approaches and tools for the highly valued data science challenge of mining knowledge graphs. Since previous grap…
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion
Ting-Ting Liang, Satoshi Tsutsui, Liangcai Gao +2
One of the time-consuming routine work for a radiologist is to discern anatomical structures from tomographic images. For assisting radiologists, this paper develops an automatic s…
Minimizing Supervision for Free-space Segmentation
Satoshi Tsutsui, Tommi Kerola, Shunta Saito +1
Identifying "free-space," or safely driveable regions in the scene ahead, is a fundamental task for autonomous navigation. While this task can be addressed using semantic segmentat…
Distantly Supervised Road Segmentation
Satoshi Tsutsui, Tommi Kerola, Shunta Saito
We present an approach for road segmentation that only requires image-level annotations at training time. We leverage distant supervision, which allows us to train our model using…