木下 裕磨

Kinoshita Yuma

  • 講師
  • 学位:博士(情報科学)

基本情報

所属

  • Undergraduate School of Information Science and Technology / Department of Human and Information Science

詳細情報

研究分野

  • Informatics Perceptual information processing

委員歴

  • The 5th Workshop on Detection and Classification of Acoustic Scenes and Events Registration Chair

受賞

  • Asia-Pacific Signal and Information Processing Association APSIPA Annual Summit and Conference 2021 Best Paper Award Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices
  • The 23rd International Workshop on Advanced Image Technology (IWAIT2020) Best Paper Award
  • IEEE Global Conference on Consumer Electronics (GCCE2019) Excellent Paper Award Gold Prize
  • IEEE Signal Processing Society (SPS) Tokyo Joint Chapter IEEE Signal Processing Society (SPS) Japan Student Conference Paper Award
  • IEEE International Symposium on Intelligent Signal Processing and Communication Systems Best Paper Award

論文

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

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

Privacy-Preserving Image Classification Using Vision Transformer

An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications.

Realizing Low Latency Time-Frequency Masking with Frame-Wise FIR Filters for Speech Enhancement

Spatially Varying White Balancing for Mixed and Non-Uniform Illuminants

Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices

Causal Distortionless Response Beamforming by Alternating Direction Method of Multipliers

Real-Time Pitch Visualization with “Blinky" Sound-to-Light Conversion Device

書籍等出版物

  • Adversarial Examples and Defenses (Book chapter)

講演・口頭発表等

  • Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment
  • Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring
  • Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development
  • Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data
  • Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification
  • 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
  • Privacy-Preserving Image Classification Using Vision Transformer

担当経験のある科目

  • INFORMATION TECHNOLOGIES
  • INFORMATION SCIENCE SEMINAR
  • FRESHMAN SEMINAR (B)
  • LINEAR ALGEBRA
  • COMPUTER PROGRAMMING 2
  • INTRODUCTION TO INFORMATION SCIENCE
  • COMPUTER PROGRAMMING 1
  • COMPUTER SIMULATION
  • INTELLIGENT SYSTEMS
  • EXPERIMENTS IN INFORMATION SCIENCE
  • FUNDAMENTAL INFORMATION TECHNOLOGY 1

所属学会

  • IEEE
  • APSIPA

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