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Guoqiang Xiao 0001
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- affiliation: Southwest University, College of Computer and Information Science, Chongqing, China
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- Guoqiang Xiao — disambiguation page
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2020 – today
- 2025
- [j29]Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao:
Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification. Expert Syst. Appl. 259: 125291 (2025) - 2024
- [j28]Shan Liu, Guoqiang Xiao, Michael S. Lew, Xinbo Gao, Song Wu:
Core-attributes enhanced generative adversarial networks for robust image enhancement. Eng. Appl. Artif. Intell. 131: 107799 (2024) - [j27]Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao:
Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification. Eng. Appl. Artif. Intell. 133: 107990 (2024) - [j26]Song Wu, Xiang Yuan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao:
Deep cross-modal hashing with multi-task latent space learning. Eng. Appl. Artif. Intell. 136: 108944 (2024) - [j25]Shan Liu, Shihao Shan, Guoqiang Xiao, Xinbo Gao, Song Wu:
Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks. Int. J. Multim. Inf. Retr. 13(1): 1 (2024) - [j24]Shihao Shan, Peixin Sun, Guoqiang Xiao, Song Wu:
Multi-knowledge-driven enhanced module for visible-infrared cross-modal person Re-identification. Int. J. Multim. Inf. Retr. 13(2): 19 (2024) - [j23]Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches With Vision Transformer. IEEE Trans. Ind. Informatics 20(10): 12041-12050 (2024) - [c53]Yijin Liu, Guoqiang Xiao, Michael S. Lew, Song Wu:
Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. ICASSP 2024: 3130-3134 - [c52]Lu Kang, Guoqiang Xiao, Michael S. Lew, Song Wu:
Arbitrary Style Transfer Based on Content Integrity and Style Consistency Enhancement. ICASSP 2024: 3135-3139 - [c51]Yuting Wu, Xian-Feng Han, Guoqiang Xiao:
Language-Driven Open-Vocabulary 3D Semantic Segmentation with Knowledge Distillation. ICASSP 2024: 3320-3324 - [c50]Xian-Feng Han, Hui-Xian Cheng, Hang Jiang, Dehong He, Guoqiang Xiao:
PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene. ICRA 2024: 4435-4441 - [c49]Weiwei Zhou, Guoqiang Xiao, Michael S. Lew, Song Wu:
Causal Inference-based Few-Shot Class-Incremental Learning. ICMR 2024: 478-487 - [c48]Yitong Xing, Guoqiang Xiao, Michael S. Lew, Song Wu:
Lifelong Visible-Infrared Person Re-Identification via a Tri-Token Transformer with a Query-Key Mechanism. ICMR 2024: 988-997 - [c47]Qiang Chen, Fuxiao He, Guoqiang Xiao:
Global-to-Local Feature Mining Network for RGB-Infrared Person Re-Identification. MMM (3) 2024: 1-13 - [c46]Qijun Li, Xiaoqin Tang, Jinsong Li, Xianping Yu, Guoqiang Xiao:
TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification. PRICAI (4) 2024: 139-151 - [i14]Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches with Vision Transformer. CoRR abs/2407.00410 (2024) - 2023
- [j22]Xian-Feng Han, Zhi-Ao Feng, Shi-Jie Sun, Guoqiang Xiao:
3D point cloud descriptors: state-of-the-art. Artif. Intell. Rev. 56(10): 12033-12083 (2023) - [j21]Yao-Wen Zhang, Xian-Feng Han, Guo-Qiang Xiao:
An Efficient CRT Based Algorithm for Frequency Determination from Undersampled Real Waveform. Sensors 23(1): 452 (2023) - [j20]Hui-Xian Cheng, Xian-Feng Han, Guoqiang Xiao:
TransRVNet: LiDAR Semantic Segmentation With Transformer. IEEE Trans. Intell. Transp. Syst. 24(6): 5895-5907 (2023) - [j19]Xiaoqin Tang, Lingpeng Lv, Shima Javanmardi, Yunfeng Wang, Jingchuan Fan, Fons J. Verbeek, Guoqiang Xiao:
Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping. IEEE Trans. Medical Imaging 42(12): 3665-3677 (2023) - [j18]Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, Guoqiang Xiao:
Dual Transformer for Point Cloud Analysis. IEEE Trans. Multim. 25: 5638-5648 (2023) - [j17]Hanshen Xiao, Yaowen Zhang, Beining Zhou, Guoqiang Xiao:
On the Foundation of Sparsity Constrained Sensing - Part I: Sampling Theory and Robust Remainder Problem. IEEE Trans. Signal Process. 71: 1263-1276 (2023) - [j16]Hanshen Xiao, Beining Zhou, Yaowen Zhang, Guoqiang Xiao:
On the Foundation of Sparsity Constrained Sensing - Part II: Diophantine Sampling With Arbitrary Temporal and Spatial Sparsity. IEEE Trans. Signal Process. 71: 1277-1292 (2023) - [c45]Wenlong Li, Chaohui Liu, Jingchuan Fan, Guoqiang Xiao, Xiaoqin Tang:
Synthesize More Diverse and Realistic Nanoparticle Image-mask Pairs on Limited Data. BIBM 2023: 1286-1293 - [c44]Xiaoqin Tang, Baiyin Huang, Guoqiang Xiao:
Enhancing Precision and Interpretability of CT Image Reconstruction via Self-supervised Adaptive Domain Transformation. BIBM 2023: 1451-1458 - [c43]Xiang Li, Renjie Huang, Guoqiang Xiao:
A Self-Attention Based Task-Adaptive Integration of Pre-trained Global and Local Classifiers for Few-Shot Classification. CSCWD 2023: 273-278 - [c42]Qiang Chen, Guoqiang Xiao, Jiahao Wu:
Visible-Infrared Person Re-identification via Modality Augmentation and Center Constraints. ICANN (3) 2023: 221-232 - [c41]Yuting He, Renjie Huang, Yangguang Shi, Guoqiang Xiao, Bin Yang, Yuqi Li:
Scale-Adaptive Tiny Object Detection Enhanced by Across-Scale and Shape-Preserved Semantic Location. ICASSP 2023: 1-5 - [c40]Renjie Huang, Yangguang Shi, Yuting He, Yongqiang Zheng, Guoqiang Xiao, Ziruo Liu:
Semantic Circle Detection and Circle-Inner Segmentation for Tree-Wise Citrus Summer Shoot Management in Aerial Images. ICIP 2023: 1090-1094 - [c39]Renjie Huang, Ziruo Liu, Jichuan Chen, Yangguang Shi, Guoqiang Xiao:
Geometric Prior-Assisted Feature Presentation Enhancement for Object Detection in Aerial Images. ICIP 2023: 1095-1099 - [c38]Pinjun Luo, Guoqiang Xiao, Xinbo Gao, Song Wu:
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing. ICME 2023: 1601-1606 - [c37]Fuxiao He, Qiang Chen, Guoqiang Xiao:
BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-object Tracking. ICONIP (14) 2023: 191-204 - [c36]Jiahao Liu, Hui-Xian Cheng, Guoqiang Xiao, Xianfeng Han:
CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection. IJCNN 2023: 1-8 - [c35]Chuyu Wang, Xianfeng Han, Guoqiang Xiao:
PointCMT: An MLP-Transformer Network for Contrastive Learning of Point Representation. IJCNN 2023: 1-6 - [c34]Zecheng Zhang, Xianfeng Han, Guoqiang Xiao:
IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. IJCNN 2023: 1-8 - [c33]Fuxiao He, Guoqiang Xiao:
An Efficient One-Shot Network and Robust Data Associations in Multi-pedestrian Tracking. KSEM (2) 2023: 104-120 - [c32]Qiang Chen, Guoqiang Xiao:
Sparse-View CT Reconstruction via Implicit Neural Intensity Functions. KSEM (2) 2023: 153-161 - [c31]Bin Yang, Jichuan Chen, Ziruo Liu, Chao Wang, Renjie Huang, Guoqiang Xiao, Shunlai Xu:
Deep Hough Transform for Gaussian Semantic Box-Lines Alignment. PRCV (7) 2023: 65-75 - [c30]Jichuan Chen, Ziruo Liu, Chao Wang, Bin Yang, Renjie Huang, Shunlai Xu, Guoqiang Xiao:
Central and Directional Multi-neck Knowledge Distillation. PRCV (7) 2023: 475-486 - [c29]Baiyin Huang, Boheng Tan, Xiaoqin Tang, Guoqiang Xiao:
Enhancing Interpretability in CT Reconstruction Using Tomographic Domain Transform with Self-supervision. PRICAI (3) 2023: 93-104 - [i13]Xiaogang Wang, Yuhang Cheng, Liang Wang, Jiangbo Lu, Kai Xu, Guoqiang Xiao:
Edge Preserving Implicit Surface Representation of Point Clouds. CoRR abs/2301.04860 (2023) - 2022
- [j15]Xiaohui Xu, Shan Liu, Nian Zhang, Guoqiang Xiao, Song Wu:
Channel exchange and adversarial learning guided cross-modal person re-identification. Knowl. Based Syst. 257: 109883 (2022) - [j14]Xian-Feng Han, Zhang-Yue He, Jia Chen, Guo-Qiang Xiao:
3CROSSNet: Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. IEEE Robotics Autom. Lett. 7(2): 3718-3725 (2022) - [j13]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8(2): 552-563 (2022) - [c28]Jinpeng Liu, Song Wu, Dehong He, Guoqiang Xiao:
MS-ROCANet: Multi-Scale Residual Orthogonal-Channel Attention Network for Scene Text Detection. ICASSP 2022: 2200-2204 - [c27]Shan Liu, Guoqiang Xiao, Xiaohui Xu, Song Wu:
Bi-Directional Normalization and Color Attention-Guided Generative Adversarial Network for Image Enhancement. ICASSP 2022: 2205-2209 - [c26]Hui-Xian Cheng, Xian-Feng Han, Guo-Qiang Xiao:
Cenet: Toward Concise and Efficient Lidar Semantic Segmentation for Autonomous Driving. ICME 2022: 1-6 - [c25]Hang Jiang, Song Wu, Dehong He, Guoqiang Xiao:
Portrait Matting Network with Essential Feature Mining and Fusion. ICONIP (6) 2022: 576-587 - [c24]Renjie Huang, Yuting He, Guoqiang Xiao, Yangguang Shi, Yongqiang Zheng:
Adaptive Tiny Object Detection for Improving Pest Detection. ICPR 2022: 4544-4551 - [c23]Hang Jiang, Song Wu, Dehong He, Guoqiang Xiao:
Natural Image Matting with Low-Level Feature Attention Guidance. KSEM (3) 2022: 550-561 - [c22]Dehong He, Song Wu, Jinpeng Liu, Guoqiang Xiao:
Cross Transformer Network for Scale-Arbitrary Image Super-Resolution. KSEM (2) 2022: 633-644 - [i12]Cheng-Yu Fang, Xian-Feng Han, Qi Zhong, Shi-Jie Sun, Guo-Qiang Xiao:
Learning to Generate Artistic Character Line Drawing. CoRR abs/2206.02998 (2022) - [i11]Hui-Xian Cheng, Xian-Feng Han, Guo-Qiang Xiao:
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving. CoRR abs/2207.12691 (2022) - [i10]Pinjun Luo, Guoqiang Xiao, Xinbo Gao, Song Wu:
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing. CoRR abs/2209.01788 (2022) - [i9]Hui-Xian Cheng, Xianfeng Han, Hang Jiang, Dehong He, Guoqiang Xiao:
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene. CoRR abs/2209.13797 (2022) - 2021
- [j12]Mingcheng Cai, Shuo Zhang, Guoqiang Xiao, Shoucheng Fan:
3D face reconstruction and dense alignment with a new generated dataset. Displays 70: 102094 (2021) - [j11]Hanshen Xiao, Nan Du, Zhikang Wang, Guoqiang Xiao:
Wrapped ambiguity Gaussian mixed model with applications in sparse sampling based multiple parameter estimation. Signal Process. 179: 107825 (2021) - [c21]Linpeng Lv, Futong He, Jiahui Zhang, Liling Mao, Jingchuan Fan, Guoqiang Xiao, Xiaoqin Tang:
Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images. BIBM 2021: 1757-1764 - [c20]Tianyu Chen, Guoqiang Xiao, Xiaoqin Tang, Xianfeng Han, Wenzhuo Ma, Xinye Gou:
Cascade Attention Blend Residual Network For Single Image Super-Resolution. ICIP 2021: 559-563 - [c19]Yunzhou Cheng, Guoqiang Xiao, Xiaoqin Tang, Wenzhuo Ma, Xinye Gou:
Two-Phase Feature Fusion Network For Visible-Infrared Person Re-Identification. ICIP 2021: 1149-1153 - [c18]Xinyi Li, Song Wu, Guoqiang Xiao:
Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing. ICONIP (1) 2021: 254-265 - [c17]Xiaohui Xu, Song Wu, Shan Liu, Guoqiang Xiao:
Cross-Modal Based Person Re-identification via Channel Exchange and Adversarial Learning. ICONIP (1) 2021: 500-511 - [c16]You Zhai, Xianfeng Han, Wenzhuo Ma, Xinye Gou, Guoqiang Xiao:
PGMANet: Pose-Guided Mixed Attention Network for Occluded Person Re-Identification. IJCNN 2021: 1-8 - [c15]Yunzhou Cheng, Xinyi Li, Guoqiang Xiao, Wenzhuo Ma, Xinye Gou:
Dual-Path Deep Supervision Network with Self-Attention for Visible-Infrared Person Re-Identification. ISCAS 2021: 1-5 - [i8]Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, Guo-Qiang Xiao:
Dual Transformer for Point Cloud Analysis. CoRR abs/2104.13044 (2021) - [i7]Xian-Feng Han, Zhang-Yue He, Jia Chen, Guo-Qiang Xiao:
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. CoRR abs/2104.13053 (2021) - [i6]Xian-Feng Han, Yu-Jia Kuang, Guo-Qiang Xiao:
Point Cloud Learning with Transformer. CoRR abs/2104.13636 (2021) - [i5]Hanshen Xiao, Yaowen Zhang, Guoqiang Xiao:
On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem. CoRR abs/2108.10423 (2021) - [i4]Hanshen Xiao, Beining Zhou, Guoqiang Xiao:
On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration. CoRR abs/2108.10425 (2021) - 2020
- [j10]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label crowd consensus via joint matrix factorization. Knowl. Inf. Syst. 62(4): 1341-1369 (2020) - [c14]Yunfeng Wang, Xiaoqin Tang, Jingchuan Fan, Guoqiang Xiao:
Weakly Supervised Instance Segmentation of SEM Image via Synthetic Data. BIBM 2020: 2672-2679 - [c13]Rui Yang, Song Wu, Guoqiang Xiao:
Unsupervised Multiple Granularities Attention-Attribute Learning for Person Re-Identification. ISCAS 2020: 1-5 - [c12]Guanghai Wang, Song Wu, Guoqiang Xiao:
CARNet: Context Attention Refine Network for Semantic Segmentation. IVSP 2020: 127-132
2010 – 2019
- 2019
- [j9]Hanshen Xiao, Guoqiang Xiao:
On Solving Ambiguity Resolution With Robust Chinese Remainder Theorem for Multiple Numbers. IEEE Trans. Veh. Technol. 68(5): 5179-5184 (2019) - [j8]Hanshen Xiao, Guoqiang Xiao:
A Framework of Topology-Transparent Scheduling Based on Polynomial Ring. IEEE Wirel. Commun. Lett. 8(3): 829-832 (2019) - [c11]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. AAAI 2019: 5353-5360 - [c10]Fang Chen, Guoqiang Xiao, Conghui Chen:
An Attention-based Sequence Learning Model for Scene Text Recognition with Text Correction. CSAI 2019: 215-220 - [c9]Xianming Zeng, Song Wu, Guoqiang Xiao:
Multi-object Tracking with Conditional Random Field. ICONIP (5) 2019: 206-214 - [c8]Guo Chen, Song Wu, Guoqiang Xiao:
A Deep Clustering-Guide Learning for Unsupervised Person Re-identification. ICONIP (3) 2019: 585-596 - [i3]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. CoRR abs/1905.04191 (2019) - 2018
- [j7]Jianwei Liao, Zhigang Cai, François Trahay, Jun Zhou, Guoqiang Xiao:
Adaptive Process Migrations in Coupled Applications for Exchanging Data in Local File Cache. ACM Trans. Auton. Adapt. Syst. 13(2): 9:1-9:25 (2018) - [j6]Hanshen Xiao, Yufeng Huang, Yu Ye, Guoqiang Xiao:
Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding. IEEE Trans. Signal Process. 66(16): 4347-4361 (2018) - [c7]Hui Li, Shanxiong Chen, Guoqiang Xiao, Xiaoning Peng, Jianwei Liao:
Adaptive Splitting-Based Block I/O Scheduling in Disk Storage. COMPSAC (1) 2018: 668-676 - [c6]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label Answer Aggregation Based on Joint Matrix Factorization. ICDM 2018: 517-526 - [c5]Zhenghao Li, Song Wu, Guoqiang Xiao:
Facial Expression Recognition by Multi-Scale CNN with Regularized Center Loss. ICPR 2018: 3384-3389 - [i2]Hanshen Xiao, Guoqiang Xiao:
On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers. CoRR abs/1807.00022 (2018) - 2017
- [j5]Hanshen Xiao, Guoqiang Xiao:
Notes on CRT-based robust frequency estimation. Signal Process. 133: 13-17 (2017) - [j4]Jianwei Liao, François Trahay, Guoqiang Xiao, Li Li, Yutaka Ishikawa:
Performing Initiative Data Prefetching in Distributed File Systems for Cloud Computing. IEEE Trans. Cloud Comput. 5(3): 550-562 (2017) - [c4]Shulin Xu, Nan Pu, Li Qian, Guoqiang Xiao:
Combination of Pyramid CNN Representation and Spatial-Temporal Representation for Facial Expression Recognition. CCCV (2) 2017: 40-50 - [c3]Yongsheng Zhou, Nan Pu, Li Qian, Song Wu, Guoqiang Xiao:
Human Action Recognition in Videos of Realistic Scenes Based on Multi-scale CNN Feature. PCM (2) 2017: 316-326 - [i1]Hanshen Xiao, Yufeng Huang, Yu Ye, Guoqiang Xiao:
Robustness in Chinese Remainder Theorem. CoRR abs/1708.04089 (2017) - 2016
- [j3]Yu Ye, Hanshen Xiao, Guoqiang Xiao:
A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization. IEEE Signal Process. Lett. 23(9): 1236-1240 (2016) - [j2]Jianwei Liao, François Trahay, Guoqiang Xiao:
Dynamic Process Migration Based on Block Access Patterns Occurring in Storage Servers. ACM Trans. Archit. Code Optim. 13(2): 20:1-20:20 (2016) - [c2]Hanshen Xiao, Yu Ye, Guoqiang Xiao, Qin Kang:
Algorithms for comparison in residue number systems. APSIPA 2016: 1-6 - 2015
- [j1]Jianwei Liao, Fengxiang Zhang, Li Li, Guoqiang Xiao:
Adaptive Wear-Leveling in Flash-Based Memory. IEEE Comput. Archit. Lett. 14(1): 1-4 (2015) - 2014
- [c1]Jianwei Liao, Guoqiang Xiao, Xiaoyan Liu, Lingyu Zhu:
Dynamic Stripe Management Mechanism in Distributed File Systems. NPC 2014: 497-509
Coauthor Index
aka: Xianfeng Han
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