no code implementations • 27 Dec 2023 • Wei Huang, Jun Wang, Xiaoping Li, Qihang Peng
Orthogonal frequency division multiplexing (OFDM) is a widely adopted wireless communication technique but is sensitive to the carrier frequency offset (CFO).
no code implementations • 15 Nov 2022 • Jinrong Yang, Tiancai Wang, Zheng Ge, Weixin Mao, Xiaoping Li, Xiangyu Zhang
We propose a temporal 2D transformation to bridge the 3D predictions with temporal 2D labels.
no code implementations • 1 Sep 2022 • Pan Wang, Liangliang Ren, Shengkai Wu, Jinrong Yang, En Yu, Hangcheng Yu, Xiaoping Li
The point cloud based 3D single object tracking has drawn increasing attention.
no code implementations • 23 Aug 2022 • Jinrong Yang, En Yu, Zeming Li, Xiaoping Li, Wenbing Tao
Recent advanced works generally employ a series of object attributes, e. g., position, size, velocity, and appearance, to provide the clues for the association in 3D MOT.
1 code implementation • 22 Jul 2022 • Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng
Many point-based 3D detectors adopt point-feature sampling strategies to drop some points for efficient inference.
no code implementations • 21 Jul 2022 • Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun
In this paper, we explore the performance of real time models on this metric and endow the models with the capacity of predicting the future, significantly improving the results for streaming perception.
no code implementations • 12 Jun 2022 • Lijun Gou, Jinrong Yang, Hangcheng Yu, Pan Wang, Xiaoping Li, Chao Deng
Then, a Semantic Consistency Feature Alignment Model (SCFAM) based on mixed-classes $H-divergence$ was also presented.
1 code implementation • CVPR 2022 • Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun
In this paper, instead of searching trade-offs between accuracy and speed like previous works, we point out that endowing real-time models with the ability to predict the future is the key to dealing with this problem.
Ranked #1 on
Real-Time Object Detection
on Argoverse-HD (Full-Stack, Val)
(sAP metric, using extra
training data)
1 code implementation • IEEE Transactions on Cybernetics 2022 • Yadi Wang, Xiaoping Li, and Rubén Ruiz
Based on conditional mutual information and entropy, a new supervised similarity measure is proposed.
1 code implementation • 3 Feb 2022 • Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato
In this paper, we propose FedGS, which is a hierarchical cloud-edge-end FL framework for 5G empowered industries, to improve industrial FL performance on non-i. i. d.
no code implementations • 31 Jul 2021 • Wei zhang, He Dong, Yunlang Xu, Xiaoping Li
Minimum output variance (MOV) is used as a benchmark for CPA of PID, but it is difficult to be found due to the associated non-convex optimization problem.
no code implementations • 25 Mar 2021 • Shengkai Wu, Jinrong Yang, Hangcheng Yu, Lijun Gou, Xiaoping Li
This results in two problems: (1) only one anchor is assigned to most of the slender objects which leads to insufficient supervision information for the slender objects during training and the performance on the slender objects is hurt; (2) IoU can not accurately represent the alignment degree between the receptive field of the feature at the anchor's center and the object.
1 code implementation • 19 Mar 2021 • Lijun Gou, Shengkai Wu, Jinrong Yang, Hangcheng Yu, Chenxi Lin, Xiaoping Li, Chao Deng
To solve this problem, a novel image synthesis method is proposed to replace the foreground texture of the source datasets with the texture of the target datasets.
1 code implementation • 25 Feb 2021 • Jinrong Yang, Shengkai Wu, Lijun Gou, Hangcheng Yu, Chenxi Lin, Jiazhuo Wang, Minxuan Li, Xiaoping Li
In this paper, we present a large-scale carton dataset named Stacked Carton Dataset(SCD) with the goal of advancing the state-of-the-art in carton detection.
2 code implementations • 12 Dec 2019 • Shengkai Wu, Xiaoping Li, Xinggang Wang
The detection confidence is then used as the input of the subsequent NMS and COCO AP computation, which will substantially improve the localization accuracy of models.
no code implementations • 15 Aug 2019 • Shengkai Wu, Jinrong Yang, Xinggang Wang, Xiaoping Li
The IoU-balanced localization loss decreases the gradient of examples with low IoU and increases the gradient of examples with high IoU, which can improve the localization accuracy of models.
no code implementations • 27 May 2019 • Haoyan Liu, Yanming Liu, Ming Yang, Xiaoping Li
For reentry or near space communication, owing to the influence of the time-varying plasma sheath channel environment, the received IQ baseband signals are severely rotated on the constellation.