73 citations · 102 across the 9 of their papers we have counts for
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cs.CV2021
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
Yihan Hu, Zhuangzhuang Ding, Runzhou Ge +4
There have been two streams in the 3D detection from point clouds: single-stage methods and two-stage methods. While the former is more computationally efficient, the latter usuall…
cs.CV2021★ 6 cited
Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu +4
In this report, we introduce our winning solution to the Real-time 3D Detection and also the "Most Efficient Model" in the Waymo Open Dataset Challenges at CVPR 2021. Extended from…
astro-ph.IM2021
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework
Rui Sun, Peng Jia, Yongyang Sun +3
Time domain astronomy has emerged as a vibrant research field in recent years, focusing on celestial objects that exhibit variable magnitudes or positions. Given the urgency of con…