Tracking People in Dense Crowds Using Supervoxels. - Shota Takayama; Teppei Suzuki; Yoshimitsu Aoki; Sho Isobe; Makoto Masuda (SITIS, 2016)

Danger level modeling and analysis of vehicle-pedestrian encounter using situation dependent topic model. - Kyohei Otsuka; Kosuke Hara; Teppei Suzuki; Yoshimitsu Aoki (Intelligent Vehicles Symposium, 2017)

Willingness to Pay for Elderly Tele-Care System Using Digital Terrestrial Broadcasting. - Katsuhiko Ogasawara; Satoshi Kaga; Teppei Suzuki; Yuji Tani; Fumihiro Higashikawa; Hisashi Enomoto; Hiroyuki Moriyama; Nobuyuki Kise (MedInfo, 2017)

Pedestrian near-miss analysis on vehicle-mounted driving recorders. - Teppei Suzuki; Yoshimitsu Aoki; Hirokatsu Kataoka (MVA, 2017)

Changing Fashion Cultures. - Kaori Abe; Teppei Suzuki; Shunya Ueta; Akio Nakamura; Yutaka Satoh; Hirokatsu Kataoka (CoRR, 2017)

cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey. - Hirokatsu Kataoka; Soma Shirakabe; Yun He; Shunya Ueta; Teppei Suzuki; Kaori Abe; Asako Kanezaki; Shinichiro Morita; Toshiyuki Yabe; Yoshihiro Kanehara; Hiroya Yatsuyanagi; Shinya Maruyama; et al. (CoRR, 2017)

Fashion Culture Database: Construction of Database for World-wide Fashion Analysis. - Kaori Abe; Munetaka Minoguchi; Teppei Suzuki; Tomoyuki Suzuki; Naofumi Akimoto; Yue Qiu 001; Ryota Suzuki 006; Kenji Iwata; Yutaka Satoh; Hirokatsu Kataoka (ICARCV, 2018)

Superpixel Convolution for Segmentation. - Teppei Suzuki; Shuichi Akizuki; Naoki Kato; Yoshimitsu Aoki (ICIP, 2018)

Drive Video Analysis for the Detection of Traffic Near-Miss Incidents. - Hirokatsu Kataoka; Teppei Suzuki; Shoko Oikawa; Yasuhiro Matsui; Yutaka Satoh (ICRA, 2018)

A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling. - Teppei Suzuki; Ikuro Sato (IV, 2019)

Tabulated MLP for Fast Point Feature Embedding. - Yusuke Sekikawa; Teppei Suzuki (CoRR, 2019)

Rethinking PointNet Embedding for Faster and Compact Model. - Teppei Suzuki; Keisuke Ozawa; Yusuke Sekikawa (3DV, 2020)

Adversarial Transformations for Semi-Supervised Learning. - Teppei Suzuki; Ikuro Sato (AAAI, 2020)

Unsupervised Auto-Encoding Multiple-Object Tracker for Constraint-Consistent Combinatorial Problem. - Yuta Kawachi; Teppei Suzuki (ICASSP, 2020)

Superpixel Segmentation Via Convolutional Neural Networks with Regularized Information Maximization. - Teppei Suzuki (ICASSP, 2020)

Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection. - Hirokatsu Kataoka; Teppei Suzuki; Kodai Nakashima; Yutaka Satoh; Yoshimitsu Aoki (ICRA, 2020)

QR-code Reconstruction from Event Data via Optimization in Code Subspace. - Jun Nagata; Yusuke Sekikawa; Kosuke Hara; Teppei Suzuki; Yoshimitsu Aoki (WACV, 2020)

Irregularly Tabulated MLP for Fast Point Feature Embedding. - Yusuke Sekikawa; Teppei Suzuki (CoRR, 2020)

Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? - Ikuro Sato; Guoqing Liu; Kohta Ishikawa; Teppei Suzuki; Masayuki Tanaka 001 (Image Processing: Algorithms and Systems, 2021)

Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks. - Teppei Suzuki (CoRR, 2021)

Multi-task Curriculum Learning based on Gradient Similarity. - Hiroaki Igarashi; Kenichi Yoneji; Kohta Ishikawa; Rei Kawakami; Teppei Suzuki; Shingo Yashima; Ikuro Sato (BMVC, 2022)

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge. - Teppei Suzuki (CVPR, 2022)

Feature Space Particle Inference for Neural Network Ensembles. - Shingo Yashima; Teppei Suzuki; Kohta Ishikawa; Ikuro Sato; Rei Kawakami (ICML, 2022)

Clustering as Attention: Unified Image Segmentation with Hierarchical Clustering. - Teppei Suzuki (CoRR, 2022)

Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields. - Teppei Suzuki (CoRR, 2023)

Evaluation of Lower-Limb Kinematics during Timed Up and Go (TUG) Test in Subjects with Locomotive Syndrome (LS) Using Wearable Gait Sensors (H-Gait System). - Yoshiaki Kataoka; Yuki Saito 006; Ryo Takeda; Tomoya Ishida; Shigeru Tadano; Teppei Suzuki; Kentaro Nakamura; Akimi Nakata; Satoshi Osuka; Satoshi Yamada; Mina Samukawa; Harukazu Tohyama (Sensors, 2023)

Transferring Teacher's Invariance to Student Through Data Augmentation Optimization. - Tamotsu Kurioka; Teppei Suzuki; Rei Kawakami; Ikuro Sato (ICONIP (7), 2024)

Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning. - Teppei Suzuki (CoRR, 2024)

Quantum support vector machines for classification and regression on a trapped-ion quantum computer. - Teppei Suzuki; Takashi Hasebe; Tsubasa Miyazaki (Quantum Mach. Intell., 2024)

Resampling Benchmark for Efficient Comprehensive Evaluation of Large Vision-Language Models. - Teppei Suzuki; Keisuke Ozawa (CoRR, 2025)

Natural Fingerprints of Large Language Models. - Teppei Suzuki; Ryokan Ri; Sho Takase (CoRR, 2025)