1 code implementation • 18 Jan 2024 • Xianfu Cheng, Weixiao Zhou, Xiang Li, Xiaoming Chen, Jian Yang, Tongliang Li, Zhoujun Li
In this work, we propose the VIsion Permutable extractor for fast and efficient scene Text Recognition (VIPTR), which achieves an impressive balance between high performance and rapid inference speeds in the domain of STR.
1 code implementation • 16 Jan 2024 • Qiang Qu, Yiran Shen, Xiaoming Chen, Yuk Ying Chung, Tongliang Liu
In this work, we propose \textbf{E2HQV}, a novel E2V paradigm designed to produce high-quality video frames from events.
no code implementations • 1 Jan 2024 • Zeke Zexi Hu, Xiaoming Chen, Vera Yuk Ying Chung, Yiran Shen
The effective extraction of spatial-angular features plays a crucial role in light field image super-resolution (LFSR) tasks, and the introduction of convolution and Transformers leads to significant improvement in this area.
no code implementations • 6 Sep 2023 • Dezhi Wang, Chongwen Huang, Jiguang He, Xiaoming Chen, Wei Wang, Zhaoyang Zhang, Zhu Han, Mérouane Debbah
In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC systems and propose an efficient waveform precoding design algorithm based on the mean field game~(MFG).
no code implementations • 1 Sep 2023 • Haodong Chen, Vera Chung, Li Tan, Xiaoming Chen
Our preliminary results demonstrate that the proposed method can produce visually distinguishable dense 3D reconstructions directly without requiring pipelines like those used by existing methods.
no code implementations • 9 Apr 2023 • Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Chongwen Huang, Xiaoming Chen
Then, we design a novel physics-inspired spatial channel gradient network (SCGnet), which represents the derivative process of channel varying as a special neural network and can obtain the gradients at any relative displacement needed for the ODE solving.
1 code implementation • 20 Mar 2023 • Qiang Qu, Xiaoming Chen, Yuk Ying Chung, Weidong Cai
In this paper, we propose a novel concept of "anglewise attention" by introducing a multihead self-attention mechanism to the angular domain of an LFI.
no code implementations • 11 Jun 2022 • Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng
Then, by associating the data sequences to multiple rank-one tensors and exploiting the angular sparsity of the RIS-BS channel, the detection problem is cast as a high-order coupled tensor decomposition problem without the need of exploiting pilot sequences.
no code implementations • 22 Jan 2022 • Xiaodan Shao, Changsheng You, Wenyan Ma, Xiaoming Chen, Rui Zhang
Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal's amplitude and/or phase via a large number of reflecting elements.
no code implementations • 5 Dec 2021 • Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang, Xiaoming Chen, Caijun Zhong, Mérouane Debbah
Specifically, we first use a forward deep neural network to infer the positions of all possible images of the source reflected by the surrounding scatterers within that environment, and then use the well-known Gaussian Radial Basis Function network (GRBF) to approximate the amplitudes of all possible propagation paths.
no code implementations • 7 Nov 2021 • Zexi Hu, Xiaoming Chen, Henry Wing Fung Yeung, Yuk Ying Chung, Zhibo Chen
Despite the recent progress in light field super-resolution (LFSR) achieved by convolutional neural networks, the correlation information of light field (LF) images has not been sufficiently studied and exploited due to the complexity of 4D LF data.
2 code implementations • 8 Aug 2021 • Zexi Hu, Henry Wing Fung Yeung, Xiaoming Chen, Yuk Ying Chung, Haisheng Li
As an image sensing instrument, light field images can supply extra angular information compared with monocular images and have facilitated a wide range of measurement applications.
no code implementations • 25 Feb 2021 • Yu Zhang, Xuelu Wu, Hong Peng, Caijun Zhong, Xiaoming Chen
This letter studies a cloud radio access network (C-RAN) with multiple intelligent reflecting surfaces (IRS) deployed between users and remote radio heads (RRH).
no code implementations • 29 Sep 2020 • Zhuojun Tian, Zhaoyang Zhang, Jue Wang, Xiaoming Chen, Wei Wang, Huaiyu Dai
In this paper, we propose a novel distributed alternating direction method of multipliers (ADMM) algorithm with synergetic communication and computation, called SCCD-ADMM, to reduce the total communication and computation cost of the system.
no code implementations • 20 Mar 2020 • Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
By inspecting the discovered architectures, we find that the operation primitives, the weight quantization range, the capacity of the model, and the connection pattern have influences on the fault resilience capability of NN models.
no code implementations • 8 Dec 2019 • Yi Zhong, Xueyu Chen, Yu Zhao, Xiaoming Chen, Tingfang Gao, Zuquan Weng
We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks.
no code implementations • 8 Nov 2019 • Xiaoming Chen, Yinhe Han, Yu Wang
Evaluations based on the 65nm technology demonstrate that the proposed architecture nearly reaches the theoretical minimum communication in a three-level memory hierarchy and it is computation dominant.
Distributed, Parallel, and Cluster Computing Hardware Architecture
1 code implementation • ECCV 2018 • Henry Wing Fung Yeung, Junhui Hou, Jie Chen, Yuk Ying Chung, Xiaoming Chen
Specifically, our end-to-end model first synthesizes a set of intermediate novel sub-aperture images (SAIs) by exploring the coarse characteristics of the sparsely-sampled LF input with spatial-angular alternating convolutions.
no code implementations • 24 May 2018 • Yi Yang, Andy Chen, Xiaoming Chen, Jiang Ji, Zhenyang Chen, Yan Dai
Implementing large-scale deep neural networks with high computational complexity on low-cost IoT devices may inevitably be constrained by limited computation resource, making the devices hard to respond in real-time.
no code implementations • 16 Jun 2017 • Yuzhi Wang, Anqi Yang, Xiaoming Chen, Pengjun Wang, Yu Wang, Huazhong Yang
Temporal drift of sensory data is a severe problem impacting the data quality of wireless sensor networks (WSNs).
no code implementations • 29 May 2017 • Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu
The high computation throughput and memory bandwidth of graphics processing units (GPUs) make GPUs a natural choice for accelerating convolution operations.