6 citations · 6 across the 9 of their papers we have counts for
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cs.CV2024★ 6 cited
LION: Linear Group RNN for 3D Object Detection in Point Clouds
Zhe Liu, Jinghua Hou, Xinyu Wang +4
The benefit of transformers in large-scale 3D point cloud perception tasks, such as 3D object detection, is limited by their quadratic computation cost when modeling long-range rel…
cs.CV2024
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
Jinghua Hou, Tong Wang, Xiaoqing Ye +6
Accurate depth information is crucial for enhancing the performance of multi-view 3D object detection. Despite the success of some existing multi-view 3D detectors utilizing pixel-…
cs.CV2024
SEED: A Simple and Effective 3D DETR in Point Clouds
Zhe Liu, Jinghua Hou, Xiaoqing Ye +3
Recently, detection transformers (DETRs) have gradually taken a dominant position in 2D detection thanks to their elegant framework. However, DETR-based detectors for 3D point clou…