73 citations · 102 across the 9 of their papers we have counts for
9 papers
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye, Gregory P. Meyer, Yuning Chai +1
Balancing efficiency and accuracy is a long-standing problem for deploying deep learning models. The trade-off is even more important for real-time safety-critical systems like aut…
HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction
Yihan Hu, Wenxin Shao, Bo Jiang +6
In this report, we introduce our solution to the Occupancy and Flow Prediction challenge in the Waymo Open Dataset Challenges at CVPR 2022, which ranks 1st on the leaderboard. We h…
A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images
Junzheng Wu, Ruigang Fu, Qiang Liu +4
The very high spatial resolution (VHR) remote sensing images have been an extremely valuable source for monitoring changes occurred on the earth surface. However, precisely detecti…
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…
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…
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…
Smart obervation method with wide field small aperture telescopes for real time transient detection
Peng Jia, Qiang Liu, Yongyang Sun +3
Wide field small aperture telescopes (WFSATs) are commonly used for fast sky survey. Telescope arrays composed by several WFSATs are capable to scan sky several times per night. Hu…
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data
Peng Jia, Xuebo Wu, Zhengyang Li +4
The point spread function (PSF) reflects states of a telescope and plays an important role in development of data processing methods, such as PSF based astrometry, photometry and i…
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes
Peng Jia, Qiang Liu, Yongyang Sun
Wide field small aperture telescopes are widely used for optical transient observations. Detection and classification of astronomical targets in observed images are the most import…