no code implementations • 20 Jun 2017 • Lei Chu, Robert Qiu, Haichun Liu, Zenan Ling, Tianhong Zhang, Jijun Wang
Recently, there has been a growing interest in monitoring brain activity for individual recognition system.
no code implementations • 16 Jan 2018 • Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu
The location of broken insulators in aerial images is a challenging task.
1 code implementation • 24 Apr 2018 • Lei Chu, Fei Wen, Lily Li, Robert Qiu
The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS).
Signal Processing Optimization and Control
1 code implementation • 16 Aug 2018 • Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu
In recent, nonconvex regularization based sparse and low-rank recovery is of considerable interest and it in fact is a main driver of the recent progress in nonconvex and nonsmooth optimization.
no code implementations • 14 May 2019 • Lei Chu, Ling Pei, Husheng Li, Robert Caiming Qiu
This paper develops a new deep neural network optimized equalization framework for massive multiple input multiple output orthogonal frequency division multiplexing (MIMOOFDM) systems that employ low-resolution analog-to-digital converters (ADCs) at the base station (BS).
no code implementations • 4 Mar 2020 • Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li
The experimental results show that the proposed method can surprisingly converge in a few iterations and achieve an accuracy of 91. 15% on a real IMU dataset, demonstrating the efficiency and effectiveness of the proposed method.
1 code implementation • 15 Sep 2020 • Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, Robert Caiming Qiu
We prove that CAT is a rotation and translation-invariant transformation based on the theoretical analysis.
no code implementations • 20 Sep 2020 • Ling Pei, Songpengcheng Xia, Lei Chu, Fanyi Xiao, Qi Wu, Wenxian Yu, Robert Qiu
Together with the rapid development of the Internet of Things (IoT), human activity recognition (HAR) using wearable Inertial Measurement Units (IMUs) becomes a promising technology for many research areas.
no code implementations • 19 Apr 2021 • Lei Chu, Hao Pan, Wenping Wang
We present a novel approach for completing and reconstructing 3D shapes from incomplete scanned data by using deep neural networks.
no code implementations • 22 Jan 2022 • Siyan Li, Yue Xiao, Yuhang Zhang, Lei Chu, Robert C. Qiu
It is a challenging problem to detect and recognize targets on complex large-scene Synthetic Aperture Radar (SAR) images.
no code implementations • 25 Jan 2022 • Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert Qiu, Lei Chu
In this paper, we propose to jointly use both global and local descriptors to register point clouds in a self-supervised manner, which is motivated by a critical observation that all local geometries of point clouds are transformed consistently under the same transformation.
no code implementations • CVPR 2022 • Nenglun Chen, Lei Chu, Hao Pan, Yan Lu, Wenping Wang
We propose a method for self-supervised image representation learning under the guidance of 3D geometric consistency.
no code implementations • 16 Aug 2022 • Songpengcheng Xia, Lei Chu, Ling Pei, Wenxian Yu, Robert C. Qiu
Human activity recognition (HAR) with wearables is promising research that can be widely adopted in many smart healthcare applications.
no code implementations • CVPR 2023 • Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma
Existing Siamese tracking methods, which are built on pair-wise matching between two single frames, heavily rely on additional sophisticated mechanism to exploit temporal information among successive video frames, hindering them from high efficiency and industrial deployments.
1 code implementation • 11 Oct 2023 • Lei Chu, Abdullah Alghafis, Andreas F. Molisch
We therefore consider the blockage by such dynamic objects as another semantic state.
no code implementations • 13 Oct 2023 • Songpengcheng Xia, Lei Chu, Ling Pei, Jiarui Yang, Wenxian Yu, Robert C. Qiu
To address these challenges, we propose a novel method for joint activity segmentation and recognition with timestamp supervision, in which only a single annotated sample is needed in each activity segment.
1 code implementation • 2 Dec 2023 • Yu Zhang, Songpengcheng Xia, Lei Chu, Jiarui Yang, Qi Wu, Ling Pei
This paper introduces a novel human pose estimation approach using sparse inertial sensors, addressing the shortcomings of previous methods reliant on synthetic data.
1 code implementation • 23 Jan 2024 • Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng
Thus, we reformulate the two-branch Siamese tracking as a conceptually simple, fully transformer-based Single-Branch Tracking pipeline, dubbed SBT.
no code implementations • 24 Mar 2024 • Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu
Neural Scene Flow Prior (NSFP) and Fast Neural Scene Flow (FNSF) have shown remarkable adaptability in the context of large out-of-distribution autonomous driving.