11 citations · 15 across the 5 of their papers we have counts for
4 papers · 1 filter
MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers
Zichao Dong, Yilin Zhang, Xufeng Huang +4
We introduce a novel MV-DETR pipeline which is effective while efficient transformer based detection method. Given input RGBD data, we notice that there are super strong pretrainin…
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue
Zichao Dong, Bowen Pang, Xufeng Huang +3
Multi-modality fusion is proven an effective method for 3d perception for autonomous driving. However, most current multi-modality fusion pipelines for LiDAR semantic segmentation…
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
Tengju Ye, Wei Jing, Chunyong Hu +11
Building a multi-modality multi-task neural network toward accurate and robust performance is a de-facto standard in perception task of autonomous driving. However, leveraging such…
OG: Equip vision occupancy with instance segmentation and visual grounding
Zichao Dong, Hang Ji, Weikun Zhang +2
Occupancy prediction tasks focus on the inference of both geometry and semantic labels for each voxel, which is an important perception mission. However, it is still a semantic seg…