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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 0SourceScholar
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 0SourcePDFScholar