Music staging AI. - Kenta Niwa; Kento Ohtani; Kazuya Takeda (ICASSP, 2017)

A Single-Dimensional Interface for Arranging Multiple Audio Sources in Three-Dimensional Space. - Kento Ohtani; Kenta Niwa; Kazuya Takeda (IEICE Trans. Inf. Syst., 2017)

Improving target selection accuracy for vehicle touch screens. - Kosuke Ito; Kento Ohtani; Yoshio Ishiguro; Takanori Nishino; Kazuya Takeda (AutomotiveUI (adjunct), 2019)

Driving Behavior Aware Caption Generation for Egocentric Driving Videos Using In-Vehicle Sensors*. - Hongkuan Zhang; Koichi Takeda 003; Ryohei Sasano; Yusuke Adachi; Kento Ohtani (IV Workshops, 2021)

ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations. - Robin Karlsson; Tomoki Hayashi; Keisuke Fujii 001; Alexander Carballo; Kento Ohtani; Kazuya Takeda (CoRR, 2021)

Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. - Robin Karlsson; Tomoki Hayashi; Keisuke Fujii 001; Alexander Carballo; Kento Ohtani; Kazuya Takeda (BMVC, 2022)

Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning. - Yingjie Niu; Ming Ding 002; Yuxiao Zhang; Kento Ohtani; Kazuya Takeda (IV, 2022)

Efficient Training Method for Point Cloud-Based Object Detection Models by Combining Environmental Transitions and Active Learning. - Takumi Yamamoto; Kento Ohtani; Tomoki Hayashi; Alexander Carballo; Kazuya Takeda (RiTA, 2022)

Methods of Gently Notifying Pedestrians of Approaching Objects when Listening to Music. - Yuki Sakashita; Yoshio Ishiguro; Kento Ohtani; Takanori Nishino; Kazuya Takeda (UIST (Adjunct Volume), 2022)

Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance. - Hanting Yang; Ming Ding 002; Alexander Carballo; Yuxiao Zhang; Kento Ohtani; Yingjie Niu; Maoning Ge; Yan Feng; Kazuya Takeda (IV, 2023)

Predictive World Models from Real-World Partial Observations. - Robin Karlsson; Alexander Carballo; Keisuke Fujii 001; Kento Ohtani; Kazuya Takeda (MOST, 2023)

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding. - Yingjie Niu; Ming Ding 002; Keisuke Fujii 001; Kento Ohtani; Alexander Carballo; Kazuya Takeda (CoRR, 2023)

Learning to Predict Navigational Patterns From Partial Observations. - Robin Karlsson; Alexander Carballo; Francisco Lepe Salazar; Keisuke Fujii 001; Kento Ohtani; Kazuya Takeda (IEEE Robotics Autom. Lett., 2023)

L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions. - Yuxiao Zhang; Ming Ding 002; Hanting Yang; Yingjie Niu; Yan Feng; Kento Ohtani; Kazuya Takeda (Sensors, 2023)

DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding. - Yingjie Niu; Ming Ding 002; Keisuke Fujii 001; Kento Ohtani; Alexander Carballo; Kazuya Takeda (IEEE Access, 2024)

LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model. - Yuxiao Zhang; Ming Ding 002; Hanting Yang; Yingjie Niu; Maoning Ge; Kento Ohtani; Chi Zhang; Kazuya Takeda (Remote. Sens., 2024)

Open-Vocabulary Predictive World Models from Sensor Observations. - Robin Karlsson; Ruslan Asfandiyarov; Alexander Carballo; Keisuke Fujii 001; Kento Ohtani; Kazuya Takeda (Sensors, 2024)

AAT-DA: Accident Anticipation Transformer with Driver Attention. - Yuto Kumamoto; Kento Ohtani; Daiki Suzuki; Minori Yamataka; Kazuya Takeda (WACV (Workshops), 2025)