Kazuki Kozuka

Conference Papers / Preprints

T Xiang, A Sun, S Delp, K Kozuka, L Fei-Fei, E Adeli, "Wild2Avatar: Rendering Humans Behind Occlusions", arXiv preprint arXiv:2401.00431, 2023. project website

X Wang, S Li, K Kallidromitis, Y Kato, K Kozuka, T Darrell, "Hierarchical open-vocabulary universal image segmentation", arXiv preprint arXiv:2307.00764, 2023. project website

H Adachi, T Hirakawa, T Yamashita, H Fujiyoshi, Y Ishii, K Kozuka, "Masking and Mixing Adversarial Training", arXiv preprint arXiv:2302.08066, 2023. pdf

S Fujii, Y Ishii, K Kozuka, T Hirakawa, T Yamashita, H Fujiyoshi, "Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes", arXiv preprint arXiv:2209.05122, 2022. pdf

A Gokul, K Kallidromitis, S Li, Y Kato, K Kozuka, T Darrell, CJ Reed, "Refine and represent: Region-to-object representation learning", arXiv preprint arXiv:2208.11821, 2022. pdf

R Tanigawa, Y Ishii, K Kozuka, T Yamashita, "Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net", arXiv preprint arXiv:2205.05293, 2022. pdf

R Tanigawa, Y Ishii, K Kozuka, T Yamashita, "Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder", arXiv preprint arXiv:2204.07280, 2022. pdf

D Gudovskiy, S Ishizaka, K Kozuka, "Cflow-ad: Real-time unsupervised anomaly detection with localization via conditional normalizing flows", Proceedings of the IEEE/CVF WACV, 2022. pdf

K Kallidromitis, D Gudovskiy, O Iku, L Rigazio, "Contrastive neural processes for self-supervised learning", Asian Conference on Machine Learning, 594-609, 2021. pdf

N Wakai, K Kozuka, Y Nakata, S Iida, "Value-Verification Process Proposal for Launching New Services using Image Recognition", Technology, Panasonic Technical Journal 67 (2), 97-101, 2021. pdf

N. Rai, H. Chen, J. Ji, R. Desai, K. Kozuka, S. Ishizaka, E. Adeli, J. C. Niebles, "Home Action Genome: Cooperative Compositional Action Understanding", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021. pdf

D. Gudovskiy, L. Rigazio, S. Ishizaka, K. Kozuka, S. Tsukizawa, "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021. pdf

H. Iesaki, T. Hirakawa, T. Yamashita, H. Fujiyoshi, Y. Ishii, K. Kozuka, R. Fujimura, "Simultaneous Visual Context-aware Path Prediction", VISIGRAPP, 2020. pdf

K. Kozuka, J. C. Niebles, "Risky Region Localization With Point Supervision", Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 246-253, 2017. pdf

K. Kozuka, K. Takata, K. Kondo, K. Karasawa, Y. Hirano, S. Kido, "Development of Automatic Database Registration and Similar-Case Retrieval for Diffuse Lung Diseases by Texture Analysis of Whole-Lung CT Volume", IEEE Engineering in Medicine and Biology Society (EMBC) 2015.

Y. Sato, T. Nakada, K. Kozuka, M. Kiyono, T. Nonoyama, M. Kubota, Y. Koie, M. Yasutake, O. Yamamura, "Estimation of Knee Extensor Strength Using Wearable Sensors", IEEE Engineering in Medicine and Biology Society (EMBC) 2015.

T. Nakada, Y. Sato, K. Kozuka, M. Kiyono, T. Nonoyama, M. Kubota, Y. Koie, M. Yasutake, O. Yamamura, "Prediction of PeakVO2 from Walking Energy Cost Index for the Elderly", IEEE Engineering in Medicine and Biology Society (EMBC) 2015.

K. Kozuka, K. Takata, K. Kondo, M. Kiyono, M. Tanaka, T. Sakai, H. Kimura, "Development of lung CT image retrieval technology using distance metric learning by image findings", 29th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS), 2015.

Y. Sawada, K. Kozuka, "Transfer Learning Method using Multi-Prediction Deep Boltzmann Machines for a small scale dataset", IAPR Machine Vision And Application Organization (MVA), 2015.

H. Kimura, T. Sakai, K. Kondo, K. Takata, K. Kozuka, M. Kiyono, M. Inubushi, M. Toyooka, "A Diagnostic Imaging Education System for Lung CT Images based on Image-Retrieval Technology for Medical Books and DICOM Images", Radiological Society of North America, 2014.

Y. Sato, K. Kozuka, Y. Sawada, M. Kiyono, "Learning Multiple Complex Features Based on Classification Results", 22nd International Conference on Pattern Recognition (ICPR2014), pp.3369--3373, 2014.

T. Sakai, K. Kondo, K. Takata, K. Kozuka, M. Kiyono, M. Tanaka, H. Kimura, H. Itoh, "Demonstration of a novel diagnosis support system for lung lesions: Computed tomography with an image-retrieval technology based on radiologists knowledge", Radiological Society of North America 99th Scientific Assembly and Annual Meeting, 2013.

K. Kozuka., K. Takata., K. Kondo, M. Kiyono, M. Tanaka, T. Sakai, H. Kimura, "Development of lung CT image-retrieval system based on imaging findings and an image-selection interface", The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013.

K. Kozuka., K. Takata., K. Kondo, M. Kiyono, M. Tanaka, T. Sakai, H. Kimura, "Development of image-retrieval technology using radiological knowledge extracted from a clinical database of lung CT images", Computer Assisted Radiology and Surgery (CARS) 2013. 27th International Congress and Exhibition, 2013.

K. Morikawa, K. Kozuka, S. Adachi, "Assessment of Speech Discrimination Based on the Event-Related Potentials to the Visual Stimuli", IEEE International Conference on Communications (ICC), 2011.

K. Kozuka, J. Sato, "Multiple View Geometry for Mixed Dimensional Cameras", VISAPP, 2008.

C. Wan, K. Kozuka, J. Sato, "Multiple view geometry for non-rigid motions viewed from translational cameras", Asian Conference on Computer Vision, 2007.

K. Kozuka, J. Sato, "Rectification of 3D Data Obtained from Moving Range Sensors by using Multiple View Geometry", ICIAP 2007. 14th International Conference on Image Analysis and Processing, 2007.

Journal Papers

Y. Sawada, K. Kozuka, "Whole Layers Transfer Learning of Deep Neural Networks for a Small Scale Dataset", International journal of machine learning and computing, 2016. pdf

K. Morikawa, K. Kozuka, S. Adachi, "A Proposed Speech Discrimination Assessment Methodology Based on Event-Related Potentials to Visual Stimuli", International Journal of E-Health and Medical Communications (IJEHMC), 2012.

K. Kozuka, C. Wan, J. Sato, "Rectification of 3D data obtained from moving range sensor by using extended projective multiple view geometry", International Journal of Automation and Computing, 2008.

Invited Talks

K. Kozuka, "Panasonic AI's Collaboration with Top Universities", cvpaper.challenge Conference winter 2023FY.

K. Kozuka, "Building large scale datasets for AI development", GPU2021.

K. Kozuka, "Development of Similar Case Retrieval Technology for Supporting Medical Image Diagnosis and Education of Various Lung Diseases", MI2013.

K. Kozuka, "Present situation of image-retrieval technology using clinical database of lung CT images", Computer Assisted Radiology and Surgery（CARS）2013. 27th International Congress and Exhibition, 2013.

Awards

2024: Best Presentation Award, The Interim Research Presentation of the MBA Service & Hospitality Program, GSM, Kyoto University.

2023: SDGs Special Prize, Mizuho Securities Endowment Award, SDGs Leadership Award 2023.

2015: MVA2015, Best Poster Awards.

2014: Young Researcher Award at JCMI2014

2013: Best Presentation Award at JCMI2013

Conference Experience

Organizer: International Challenge on Compositional and Multimodal Perception, International Conference on Computer Vision Workshop, 2021, 2023.

Organizer: Home Action Genome (HOMAGE) competition in conjunction with ActivityNet, Conference on Computer Vision and Pattern Recognition 2021 Workshop, 2021.

Organizer: International Challenge on Compositional and Multimodal Perception, European Conference on Computer Vision Workshop, 2020, 2022.