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Shinya Tanaka

2 accepted papers

2026

Grounded Latents for Entity-Centric 4D Scene Generation

CVPR 2026

Although recent work has explored generative modeling of 3D or 4D driving scenes, most approaches operate on dense voxel-based representations, which are computationally expensive and struggle to maintain temporal or structural consistency. These methods often produce blurred or merged entities (i.e

Cited by 0Source ↗Scholar ↗
2025

Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection

CVPR 2025poster

While recent advancements in camera-based 3D object detection demonstrate remarkable performance, they require thousands or even millions of human-annotated frames. This requirement significantly inhibits their deployment in various locations and sensor configurations. To address this gap, we propos…

Cited by 2Source ↗PDF ↗Scholar ↗