activity
20192025
most citedLiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention

14 citations · 30 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.CV2025

Rethinking the Encoding and Annotating of 3D Bounding Box: Corner-Aware 3D Object Detection from Point Clouds

Qinghao Meng, Junbo Yin, Jianbing Shen +1

Center-aligned regression remains dominant in LiDAR-based 3D object detection, yet it suffers from fundamental instability: object centers often fall in sparse or empty regions of…

cs.CV2024

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

Tianyi Yan, Junbo Yin, Xianpeng Lang +3

To enhance autonomous driving safety in complex scenarios, various methods have been proposed to simulate LiDAR point cloud data. Nevertheless, these methods often face challenges…

cs.CV2024

ALOcc: Adaptive Lifting-Based 3D Semantic Occupancy and Cost Volume-Based Flow Predictions

Dubing Chen, Jin Fang, Wencheng Han +5

3D semantic occupancy and flow prediction are fundamental to spatiotemporal scene understanding. This paper proposes a vision-based framework with three targeted improvements. Firs…

cs.CV2024

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

Chunliang Li, Wencheng Han, Junbo Yin +2

Concurrent processing of multiple autonomous driving 3D perception tasks within the same spatiotemporal scene poses a significant challenge, in particular due to the computational…

cs.CV20242 cited

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

Junbo Yin, Jianbing Shen, Runnan Chen +4

Bird's eye view (BEV) representation has emerged as a dominant solution for describing 3D space in autonomous driving scenarios. However, objects in the BEV representation typicall…

cs.CV2023

DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

Li Xiang, Junbo Yin, Wei Li +3

Vehicle-to-Everything (V2X) collaborative perception has recently gained significant attention due to its capability to enhance scene understanding by integrating information from…