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HOME / Career Paths and PhD Degrees
Main Career Paths of Our Graduates
PhD Program Completion
Preferred Networks , National Institute of Advanced Industrial Science and Technology , Rakuten Institute of Technology , SB Intuitions , LINE Yahoo , Liquid , Facebook , Panasonic , Toyota Motor Corporation , TRI-AD , Woven by Toyota , Denso , Denso IT Laboratory , Sony , HUAWEI , Toin Yokohama University etc.
Master’s and Bachelor’s Program Completion
DeNA , LINE Yahoo , Denso IT Laboratory , CyberAgent , IBM Japan , Woven Planet , Woven by Toyota , Toyota Motor Corporation , Nissan Motor Corporation , Panasonic , Canon , Sony , Mercari , Salesforce , SenseTime Japan , Microsoft , Mitsubishi Electric , NEC , Fujitsu Laboratories , Amazon Web Services , SoftBank , Rakuten , YAHOO , Oki Electric Industry , NHK , KOSÉ , NTT Communications , BookWalker , Nikkei Inc. , TV Asahi , JR Tokai , JR East , Recruit , NTT Data , Omron , Ricoh , Meidensha , Kansai Electric Power , KPMG Consulting , Mitsubishi Research Institute , Sumitomo Mitsui Banking Corporation , Itochu Techno-Solutions , Chunichi Dragons etc.
PhD Holders from Our Lab
Naoki Kato (Mar, 2026)Few-Shot Adaptation of Large-Scale Vision-Language Models: Pursuing Both Learning Efficiency and Performance Haruya Ishikawa (Feb, 2026)Auxiliary Supervision from Existing Resources for Urban Scene Understanding: Multi-Task Learning for Semantic and BEV Segmentation (Efficient Urban Scene Understanding with Auxiliary Supervision Signals: Application to Semantic BEV Segmentation)Go Otani (Nov, 2025)Performance Improvement of Image Super-Resolution Models Focused on Training Data (Improving the performance of image super-resolution models focusing on training data)Yanjun Sun (Feb, 2025)Toward Dynamic and Realistic Vision-and-Language Navigation – AddressingComplex Changes in Real-World (Towards Dynamic and Realistic Vision-and-Language Navigation: Handling Complex Real-World Changes)Tomoyuki Suzuki (Jan, 2025)Efficient Video Recognition with Transformers: Tackling the Redundancy in Video (Efficient Video Recognition Using Transformers: Addressing Video Redundancy)Yasufumi Kawano (Nov, 2024)Efficiency of Training Costs in Semantic Segmentation (Improving Learning Efficiency in Semantic Segmentation)Seiji Hirosawa (July, 2024)Computer Vision-based Action Quality Assessment Incorporating Human Expert’s Knowledge: Focusing on the Figure Skating Jump Jun Nagata (Feb, 2024)Optical Flow Estimation Using an Event Camera: Toward Sparse and Asynchronous Estimation Shintaro Shiba (July, 2023)Estimating Motion with an Event Camera Naofumi Akimoto (Jan, 2023)Image Inpainting Using Deep Generative Models: From Normal Field of View to 360 Degrees Teppei Suzuki (Dec, 2021)Convolutional Neural Networks with Superpixels: Toward Detail-Preserving Image Segmentation Atsushi Ito (Aug, 2021)Post-Capture Image Control by Compressed Epsilon Photography Choi, Ran (Sep, 2018)Research on Spine Alignment Estimation from Moiré Images Using CNN for Scoliosis Screening Kimimasa Tamura (Sep, 2017)Calibration-Free Gaze Estimation Robust to Head Pose Variations over Wide Areas Kiyoshi Hashimoto (March, 2016)Person tracking robust to camera position and orientation variations using a statistical human shape model Masaki Hayashi (March, 2016)Human body pose estimation framework for team sports videos integrated with tracking-by-detection Shunta Saito (March, 2016)Semantic segmentation for aerial imagery with convolutional neural networks Kiyoshi Matsuo (Sep, 2014)Interpolation of shape information from images for high-precision and high-resolution 3D measurement Hirokatsu Kataoka (March, 2014)Improvement of image local feature performance and dimensionality reduction for person detection and its applications Isao Sato (Feb, 2012)Mitsuru Nakazawa (March, 2011)
