Teppei Suzuki
Teppei Suzuki
tsuzuki906[at]gmail.com
2024.04 - present: Chief Research Scientist at SB Intuitions Corp.
2025.01 - present: Director of Multimodal AI department
2024.11 - 2024.12: Manager of Vision & Language team
2024.04 - 2024.10: Senior Research Scientist at SB Intuitions Corp.
2024.04 - 2024.09: Manager at SoftBank Corp.
2018.04 - 2024.03: Research Scientist at Denso IT Laboratory, Inc.
2016.05 - 2018.03: Research assistant at National Institute of Advanced Industrial Science and Technology (AIST)
2019.04 - 2022.03: Ph.D. in Engineering at Graduate School of Science and Technology, Keio University
2016.04 - 2018.03: Master of Science in Engineering at Graduate School of Science and Technology, Keio University
2012.04 - 2016.03: Bachelor of Engineering at Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University
Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials
Keisuke Ozawa, Teppei Suzuki, Shunsuke Tonogai, Tomoya Itakura
Science and Technology of Advanced Materials, 2024, paper, ChemRxiv
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning
Teppei Suzuki
arXiv:2403.11460, arXiv, code
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields
Teppei Suzuki
arXiv:2309.06030, arXiv
Multi-task Curriculum Learning based on Gradient Similarity
Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato
BMVC2022, pdf
Feature Space Particle Inference for Neural Network Ensembles
Shingo Yahima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
ICML2022, PMLR, arXiv, code
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
CVPR2022 (Oral), CVF, arXiv, code
Clustering as Attention: Unified Image Segmentation with Hierarchical Clustering
Teppei Suzuki
arXiv:2205.09949, arXiv, code
Rethinking PointNet Embedding for Faster and Compact Model
Teppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa
3DV2020, arXiv, IEEEXplore
Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization
Teppei Suzuki
ICASSP2020, IEEEXplore, arXiv, code
Unsupervised Auto-Encoding Multiple-Object Tracker for constraint-consistent combinatorial problem
Yuta Kawachi and Teppei Suzuki
ICASSP2020, IEEEXplore
Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection
Hirokatsu Kataoka, Teppei Suzuki, Kodai Nakashima, Yutaka Satoh, Yoshimitsu Aoki
ICRA2020, IEEEXplore
QR-code Reconstruction from Event Data via Optimization in Code Subspace
Jun Nagata, Yusuke Sekikawa, Teppei Suzuki, Yoshimitsu Aoki
WACV2020, CVF
Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki and Ikuro Sato
AAAI2020 arXiv, pdf
Superpixel Convolution for Segmentation
Teppei Suzuki, Shuichi Akizuki, Naoki Kato, Yoshimitsu Aoki
ICIP2018, IEEEXplore
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa, Yasuhiro Matsui, Yutaka Satoh
ICRA2018, arXiv, IEEEXplore
大規模言語モデルの開発, JSAI2025, slide(ja)
大規模視覚言語モデルによる画像の認識と理解, PRMU2025.03.18
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge, MIRU2022
企業研究所における個人重視の組織体制, PRMU2021.10.08
Adversarial Transformations for Semi-Supervised Learning, MIRU2020
深層学習における半教師あり学習の最新動向, SSII2020, slide(ja)