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学者姓名：陈平平
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在复杂自然场景的端到端文本识别中，由于文本和背景难以区分，文本检测的位置信息和识别的语义信息不匹配，无法有效利用检测和识别之间的相关性. 针对该问题，本文提出双域感知下多方显式信息协同的自然场景端到端文本识别方法（Multi-party Synergetic explicit Information with Dual-domain Awareness text spotting，MSIDA），通过强化文本区域特征和边缘纹理，利用文本检测和识别特征之间的协同作用提高端到端文本识别性能. 首先，设计融合文本空间和方向信息的双域感知模块（Dual-Domain Awareness，DDA），增强文本实例的视觉特征信息；其次，提出多方显式信息协同模块（Multi-party Explicit Information Synergy，MEIS）提取编码特征中的显式信息，通过匹配对齐用于检测和识别的位置、分类和字符多方信息生成候选文本实例；最后，协同特征通过解码器引导可学习的查询序列获得文本检测和识别的结果 . 相比最新的 DeepSolo（Decoder with explicit points Solo，DeepSolo）方法，在 Total-Text、ICDAR 2015 和 CTW1500 数据集上，MSIDA 模型的准确率分别提升 0.8%、0.8% 和 0.4%. 代码和数据集在 https：//github. com/msida2024/MSIDA. git可以获取.
Keyword ：
场景文本图像 场景文本图像 文本检测 文本检测 特征信息关联 特征信息关联 端到端文本识别 端到端文本识别 计算机视觉 计算机视觉
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| GB/T 7714 | 陈平平 , 林 虎 , 陈宏辉 et al. 双域感知下多方显式信息协同的 场景端到端文本识别 [J]. | 电子学报 , 2025 . |
| MLA | 陈平平 et al. "双域感知下多方显式信息协同的 场景端到端文本识别" . | 电子学报 (2025) . |
| APA | 陈平平 , 林 虎 , 陈宏辉 , 谢肇鹏 . 双域感知下多方显式信息协同的 场景端到端文本识别 . | 电子学报 , 2025 . |
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With the rapid development of mobile networks and devices, real-time video transmission has become increasingly important worldwide. Constrained by the bandwidth limitations of single networks, extensive research has shifted towards video transmission in multi-network environments. However, differences in bandwidth and latency in heterogeneous networks (such as LTE and Wi-Fi) lead to high latency and packet loss issues, severely affecting video quality and user experience. This paper proposes a Forward Error Correction (FEC)-based Low-Delay Multipath Scheduling algorithm (LDMP-FEC). This algorithm combines the Gilbert model with a continuous Markov chain to adaptively adjust FEC redundancy, thereby enhancing data integrity. Through the FEC Recovery Priority Scheduling (FEC-RPS) algorithm, it dynamically optimizes the transmission order of data packets, reducing the number of out-of-order packets (OFO-packets) and end-to-end latency. Experimental results show that LDMP-FEC significantly reduces the number of out-of-order packets in heterogeneous network environments, improving performance by 50% compared to the round-robin and MinRtt algorithms, while maintaining end-to-end latency within 150 ms. Under various packet loss conditions, LDMP-FEC sustains a playable frame rate (PFR) above 90% and a Peak Signal-to-Noise Ratio (PSNR) exceeding 35 dB, providing an efficient and reliable solution for real-time video and other low-latency applications.
Keyword ：
FEC FEC heterogeneous networks heterogeneous networks multipath multipath OFO-packets OFO-packets round robin round robin video transmission video transmission
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| GB/T 7714 | Gao, Tingjin , Chen, Feng , Chen, Pingping . LDMP-FEC: A Real-Time Low-Latency Scheduling Algorithm for Video Transmission in Heterogeneous Networks [J]. | ELECTRONICS , 2025 , 14 (3) . |
| MLA | Gao, Tingjin et al. "LDMP-FEC: A Real-Time Low-Latency Scheduling Algorithm for Video Transmission in Heterogeneous Networks" . | ELECTRONICS 14 . 3 (2025) . |
| APA | Gao, Tingjin , Chen, Feng , Chen, Pingping . LDMP-FEC: A Real-Time Low-Latency Scheduling Algorithm for Video Transmission in Heterogeneous Networks . | ELECTRONICS , 2025 , 14 (3) . |
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Mobile edge caching (MEC) has emerged as a promising and economical solution to complement conventional infrastructure caching. Nonetheless, the vulnerability of vehicle-to-vehicle (V2V) links causes connection loss and limits data exchange. On the other hand, the traditional content popularity-based request model would lead to lower cache hit ratios and increased content retrieval times. To tackle this issue, a novel scheme of MEC-assisted public vehicular network is proposed in this study, where the random linear network coding (RLNC) based caching strategy is applied to allow public vehicles to simultaneously obtain coded blocks from multiple vehicles and infrastructures on the move. Besides, a content request model that considers content popularity, historical interest, and social attributes is explored. A cost minimization problem is formulated under the proposed scheme, which is a highly non-trivial stochastic problem. To this end, the data volume of V2V offloading is obtained by a divide and conquer (DC) algorithm, and then the caching strategy is derived by a heuristic-based algorithm. Finally, extensive simulations show that the proposed content model can achieve a higher local offloading ratio and the proposed scheme has a much lower cost compared to the baselines.
Keyword ：
Content request model Content request model Mobile edge caching Mobile edge caching Public vehicular networks Public vehicular networks V2V offloading V2V offloading
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| GB/T 7714 | Chen, Xiaopei , Lin, Zhijian , Wu, Wenhao et al. Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks [J]. | MOBILE NETWORKS & APPLICATIONS , 2025 . |
| MLA | Chen, Xiaopei et al. "Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks" . | MOBILE NETWORKS & APPLICATIONS (2025) . |
| APA | Chen, Xiaopei , Lin, Zhijian , Wu, Wenhao , Chen, Feng , Chen, Pingping . Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks . | MOBILE NETWORKS & APPLICATIONS , 2025 . |
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In this letter, a layered scaled extended min-sum (LSEMS) algorithm is proposed to decode non-binary low-density parity-check (LDPC) codes in physical-layer network coding (PNC) systems. The proposed LSEMS algorithm is developed for the joint channel decoding and physical-layer network coding (JCNC) over wireless fading channels. It proposes a sequential update of check nodes to decode the exclusive ORed (XORed) codewords that are generated by the non-binary LDPC codes. The LSEMS algorithm achieves almost the same decoding complexity as the scaled extended min-sum (SEMS) algorithm, while it benefits from much less complexity than the reliability-based layered BP (RLBP) algorithm. Simulation results show that the LSEMS algorithm outperforms the conventional SEMS algorithm by about 0.5 dB in non-binary LDPC-coded PNC for both q-level pulse amplitude modulation (q-PAM) and q-ary phase shift keying (q-PSK) modulations.
Keyword ：
Complexity theory Complexity theory Decoding Decoding layered schedule layered schedule Modulation Modulation Network coding Network coding non-binary low-density parity-check codes non-binary low-density parity-check codes Parity check codes Parity check codes Physical-layer network coding Physical-layer network coding Relays Relays Reliability Reliability scaled extended min-sum scaled extended min-sum Schedules Schedules Symbols Symbols Vectors Vectors
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| GB/T 7714 | Su, Chongchong , Kang, Peng , Chen, Pingping et al. Layered SEMS Decoding for Non-Binary LDPC-Coded PNC Systems [J]. | IEEE WIRELESS COMMUNICATIONS LETTERS , 2025 , 14 (3) : 866-870 . |
| MLA | Su, Chongchong et al. "Layered SEMS Decoding for Non-Binary LDPC-Coded PNC Systems" . | IEEE WIRELESS COMMUNICATIONS LETTERS 14 . 3 (2025) : 866-870 . |
| APA | Su, Chongchong , Kang, Peng , Chen, Pingping , Fang, Yi . Layered SEMS Decoding for Non-Binary LDPC-Coded PNC Systems . | IEEE WIRELESS COMMUNICATIONS LETTERS , 2025 , 14 (3) , 866-870 . |
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传统的可重构智能表面辅助的空间调制(RIS-SM)通信系统利用接收天线的索引来传输额外的信息比特，因此该系统数据传输速率的提升是以增加接收机天线数为代价。为了提高RIS-SM系统的数据传输速率和能量效率，该文提出可重构智能表面辅助的联合空间和码索引调制(RIS-JSCIM)通信系统。该系统利用多元正交幅度调制(M-QAM)符号、空域的接收天线索引和码索引传输信息比特。天线索引和码索引传输的信息比特不需要消耗能量，因此RIS-JSCIM系统能够获得良好的能量效率。该文对比了RIS-JSCIM系统和其他系统的能量效率、系统复杂度和误码率性能。对比结果表明，所提RIS-JSCIM系统以增加一定复杂度为代价，能够获得相比于其他系统更优异的能量效率和误码率性能。
Keyword ：
可重构智能表面 可重构智能表面 多元正交振幅调制 多元正交振幅调制 扩频 扩频 码索引调制 码索引调制 空间调制 空间调制
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| GB/T 7714 | 陈平平 , 张云馨 , 杜伟庆 . 可重构智能表面辅助的联合空间和码索引调制通信系统 [J]. | 电子与信息学报 , 2025 , 47 (2) : 1-10 . |
| MLA | 陈平平 et al. "可重构智能表面辅助的联合空间和码索引调制通信系统" . | 电子与信息学报 47 . 2 (2025) : 1-10 . |
| APA | 陈平平 , 张云馨 , 杜伟庆 . 可重构智能表面辅助的联合空间和码索引调制通信系统 . | 电子与信息学报 , 2025 , 47 (2) , 1-10 . |
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Non-coherent chaotic communication has gained increasing attention as it provides an efficient solution for reliable communications without requiring channel state information. In this paper, we propose a non-coherent reconfigurable intelligent surface (RIS)-empowered differential chaos shift keying scheme with two-level nested index modulation (RIS-DCSK-TLNIM). In the proposed RIS-DCSK-TLNIM scheme, the reference index and information index are nested to form two-level nested index modulation. This design enhances both the spectral efficiency and bit error rate (BER) performance of RIS-DCSK-TLNIM, albeit at the expense of slightly increased complexity. Furthermore, we propose a joint detection algorithm to recover the information bits transmitted via the reference index, information index, and two distinct-mode signals. We then extend RIS-DCSK-TLNIM into an enhanced system to achieve higher spectral efficiency. Subsequently, we analyze the BER performance, spectral efficiency, and system complexity of RIS-DCSK-TLNIM, and compare these metrics with those of benchmark systems. Comparison results demonstrate that the proposed RIS-DCSK-TLNIM, when configured with a small number of time slots, can achieve more than twice the spectral efficiency and at least a 6 dB gain in BER performance compared to benchmark systems.
Keyword ：
Bit error rate Bit error rate Chaotic communication Chaotic communication Complexity theory Complexity theory Detection algorithms Detection algorithms differential chaos shift keying (DCSK) differential chaos shift keying (DCSK) Electronic mail Electronic mail Indexes Indexes Modulation Modulation Non-coherent chaotic communication Non-coherent chaotic communication Receiving antennas Receiving antennas reconfigurable intelligent surface (RIS) reconfigurable intelligent surface (RIS) Symbols Symbols two-level nested index modulation (TLNIM) two-level nested index modulation (TLNIM) Wireless communication Wireless communication
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| GB/T 7714 | Cai, Xiangming , Huang, Chongwen , Chen, Pingping et al. Design of Non-Coherent RIS-Empowered DCSK With Two-Level Nested Index Modulation [J]. | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS , 2025 , 24 (4) : 3044-3058 . |
| MLA | Cai, Xiangming et al. "Design of Non-Coherent RIS-Empowered DCSK With Two-Level Nested Index Modulation" . | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 24 . 4 (2025) : 3044-3058 . |
| APA | Cai, Xiangming , Huang, Chongwen , Chen, Pingping , Basar, Ertugrul , Yuen, Chau . Design of Non-Coherent RIS-Empowered DCSK With Two-Level Nested Index Modulation . | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS , 2025 , 24 (4) , 3044-3058 . |
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As a new-generation video coding standard, Alliance for Open Media Video 1 (AV1) introduces flexible and diverse block partition types to improve coding efficiency, but also increases coding complexity. To address this issue, we propose a low-complexity AV1 intra prediction algorithm using Long-edge Sparse Sampling (LSS) and Chroma Migrating from Luma (CML) for efficiently encoding video sequences. First, we develop an LSS method by selecting key reference pixels based on block partition condition to reduce computational complexity. Second, we exploit a CML algorithm which combines the angle mode of the luma component and the spatial correlations of chroma components to derive more accurate linear model parameters between the luma and chroma components. Experimental results show that LSS avoids division operations, reducing 93% of addition operations. Combined with CML, our approach saves 4.97% time and enhances coding performance compared to standard AV1, particularly improving chroma component quality. © 2025
Keyword ：
Image coding Image coding NP-hard NP-hard Special effects Special effects Video streaming Video streaming
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| GB/T 7714 | Huang, Wanwei , Xie, Xuan , Chen, Yu et al. Low-complexity AV1 intra prediction algorithm [J]. | Journal of Visual Communication and Image Representation , 2025 , 110 . |
| MLA | Huang, Wanwei et al. "Low-complexity AV1 intra prediction algorithm" . | Journal of Visual Communication and Image Representation 110 (2025) . |
| APA | Huang, Wanwei , Xie, Xuan , Chen, Yu , Wang, Baotu , Chen, Jian , Chen, Pingping . Low-complexity AV1 intra prediction algorithm . | Journal of Visual Communication and Image Representation , 2025 , 110 . |
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Estimating a full 3D human shape from a Single RGB Image is an important and challenging inverse task in virtual reality. Recent approaches apply deep learning to achieve significant success by learning geometric features from given images and corresponding 3D annotations of human datasets. However, humans in images are often occluded or self-occluded due to complex outdoor environments. Additionally, the difficulty in obtaining accurate 3D data means that most 3D annotations are inaccurate pseudo-labels generated by simulation software. These issues limit the effective learning of human geometric features, resulting in reduced performance of existing deep learning-based 3D human shape estimation methods. In this paper, to fully leverage the prior knowledge from such low-quality data (i.e.,), we propose a novel geometric prior learning approach with multimodal representation compensation for 3D human shape estimation. First, we design a multimodal pre-training task that reconstructs the human image and mesh from masked input data in a self-supervised manner, facilitating geometric prior learning for our network. Then, we use the pre-trained image and mesh network to guide and fine-tune the end-to-end human shape estimation framework. Evaluations across multiple public datasets show that our method clearly improves upon the baseline of previous work with more accurate human shapes, particularly in outdoor scenes with occlusion and inaccurate labeling.
Keyword ：
3D human shape estimation 3D human shape estimation Monocular image Monocular image Multimodal pre-training Multimodal pre-training Pseudo-3d annotations Pseudo-3d annotations Self-occlusion Self-occlusion
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| GB/T 7714 | Chen, Feng , Huang, Jilin , Jiang, Biao et al. GLMP: Geometric prior learning with multimodal pre-training representation compensation for 3D human shape estimation [J]. | KNOWLEDGE-BASED SYSTEMS , 2025 , 326 . |
| MLA | Chen, Feng et al. "GLMP: Geometric prior learning with multimodal pre-training representation compensation for 3D human shape estimation" . | KNOWLEDGE-BASED SYSTEMS 326 (2025) . |
| APA | Chen, Feng , Huang, Jilin , Jiang, Biao , Chen, Pingping , Jiang, Mengxi . GLMP: Geometric prior learning with multimodal pre-training representation compensation for 3D human shape estimation . | KNOWLEDGE-BASED SYSTEMS , 2025 , 326 . |
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This letter proposes a code index modulated chaotic ambient backscatter communication (CIM-CAmBC) over Rayleigh fading channels. In this system, multiple bits of the backscatter device can be transmitted in a radio frequency (RF) source symbol by using CIM technique. Moreover, we design a differential Walsh code matrix for CIM at the backscatter device such that direct-link interference (DLI) can be effectively eliminated at the reader without acquisition of channel state information (CSI). The theoretical error performance of the proposed CIM-CAmBC over multipath fading channels is derived and then verified by simulations. The results demonstrate that the proposed system can outperform the conventional DCSK-AmBC and CIM-DCSK-AmBC by more than 3 dB over fading channels.
Keyword ：
ambient backscatter communications (AmBC) ambient backscatter communications (AmBC) Backscatter Backscatter bit error rate (BER) bit error rate (BER) code index modulation code index modulation Codes Codes Differential chaos shift keying (DCSK) Differential chaos shift keying (DCSK) Fading channels Fading channels Indexes Indexes Radio frequency Radio frequency Symbols Symbols Wireless sensor networks Wireless sensor networks
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| GB/T 7714 | Li, Zhiwei , Chen, Pingping , Chen, Guotai et al. Code Index Modulated Chaotic Ambient Backscatter Communication With Differential Walsh Codes [J]. | IEEE WIRELESS COMMUNICATIONS LETTERS , 2024 , 13 (4) : 999-1003 . |
| MLA | Li, Zhiwei et al. "Code Index Modulated Chaotic Ambient Backscatter Communication With Differential Walsh Codes" . | IEEE WIRELESS COMMUNICATIONS LETTERS 13 . 4 (2024) : 999-1003 . |
| APA | Li, Zhiwei , Chen, Pingping , Chen, Guotai , Fang, Yi . Code Index Modulated Chaotic Ambient Backscatter Communication With Differential Walsh Codes . | IEEE WIRELESS COMMUNICATIONS LETTERS , 2024 , 13 (4) , 999-1003 . |
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Detection-based tracking is one of the main methods of multi-object tracking. It can achieve good tracking performance when using excellent detectors but it may associate wrong targets when facing overlapping and low-confidence detections. To address this issue, this article proposes a novel multi-object tracker (SCTracker) by exploiting shape constraint and confidence. In the data association stage, an intersection of union (IoU) distance with shape constraints is developed to calculate the cost matrix between tracks and detections, which can reduce the track of the wrong target with the similar position but inconsistent shape. Moreover, the detection confidence is calculated in the update stage of the Kalman filter to improve the track performance with the inaccurate detection result. Experimental results on the MOT 17 dataset show that the proposed SCTracker can improve the tracking performance of multi-object tracking when compared with the state-of-the-art methods.
Keyword ：
Deep learning Deep learning distance measurement distance measurement motion estimation motion estimation object tracking object tracking
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| GB/T 7714 | Mao, Huan , Chen, Yulin , Li, Zongtan et al. SCTracker: Multi-Object Tracking With Shape and Confidence Constraints [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (3) : 3123-3130 . |
| MLA | Mao, Huan et al. "SCTracker: Multi-Object Tracking With Shape and Confidence Constraints" . | IEEE SENSORS JOURNAL 24 . 3 (2024) : 3123-3130 . |
| APA | Mao, Huan , Chen, Yulin , Li, Zongtan , Chen, Pingping , Chen, Feng . SCTracker: Multi-Object Tracking With Shape and Confidence Constraints . | IEEE SENSORS JOURNAL , 2024 , 24 (3) , 3123-3130 . |
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