Kinoshita Yuma

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Controlling Diffusion-based Image Generation Using Search Gradients with User Feedback

Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes

Acoustic Scene Classification Using Inter- and Intra-subarray Spatial Features in Distributed Microphone Array

Acoustic-Based Traffic Monitoring with Neural Network Trained by Matching Loss for Ranking Function

End-to-End Training of Acoustic Scene Classification Using Distributed Sound-to-Light Conversion Devices: Verification Through Simulation Experiments

Neural Network Training with Matching Loss for Ranking Function

Causal and Relaxed-Distortionless Response Beamforming for Online Target Source Extraction.

Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment

Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification

Missing Data Completion of Multi-channel Signals Using Autoencoder for Acoustic Scene Classification

Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data.

Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development.

Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring.

Image and Model Transformation with Secret Key for Vision Transformer

Estimation of Transfer Coefficients and Signals of Sound-to-Light Conversion Device Blinky Under Saturation

Compressed Sensing of Sparse Spectrum Using Distributed Sound-to-Light Conversion Device Blinkies

Template Matching with White Balance Adjustment Under Multiple Illuminants

Missing Data Recovery Using Autoencoder for Multi-Channel Acoustic Scene Classification

N-White Balancing: White Balancing for Multiple Illuminants Including Non-Uniform Illumination

Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency