5 citations · 19 across the 18 of their papers we have counts for
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cs.CV2022★ 5 cited
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
Yang Jiao, Zequn Jie, Shaoxiang Chen +3
Fusing LiDAR and camera information is essential for achieving accurate and reliable 3D object detection in autonomous driving systems. This is challenging due to the difficulty of…
cs.CV2022★ 1 cited
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
Yang Jiao, Shaoxiang Chen, Zequn Jie +3
3D dense captioning is a recently-proposed novel task, where point clouds contain more geometric information than the 2D counterpart. However, it is also more challenging due to th…
cs.CV2022
Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding
Yang Jiao, Zequn Jie, Jingjing Chen +2
Recently, one-stage visual grounders attract high attention due to their comparable accuracy but significantly higher efficiency than two-stage grounders. However, inter-object rel…