3 papers
cs.CV2026
PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds
Liu Qifeng, Zhao Dawei, Dong Yabo +7
3D object detection from point clouds plays a critical role in autonomous driving. Currently, the primary methods for point cloud processing are voxel-based and pillar-based approa…
cs.CV2026
Voxel Densification for Serialized 3D Object Detection: Mitigating Sparsity via Pre-serialization Expansion
Qifeng Liu, Dawei Zhao, Yabo Dong +6
Recent advances in point cloud object detection have increasingly adopted Transformer-based and State Space Models (SSMs) to capture long-range dependencies. However, these seriali…
cs.CV2026
GenDet: Painting Colored Bounding Boxes on Images via Diffusion Model for Object Detection
Chen Min, Chengyang Li, Fanjie Kong +3
This paper presents GenDet, a novel framework that redefines object detection as an image generation task. In contrast to traditional approaches, GenDet adopts a pioneering approac…