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ORCIDQingshan Liu 0001
Person information
- affiliation: Nanjing University of Information Science & Technology (NUIST), School of Information and Control
- affiliation (PhD 2003): Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing
Other persons with the same name
- Qingshan Liu — disambiguation page
- Qingshan Liu 0002
![[0000-0001-7672-5129]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7672-5129")
— Huazhong University of Science and Technology, School of Automation, Wuhan, China (and 1 more) - Qingshan Liu 0003 — Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2023
[j157]Hongjia Ruan, Huihui Song, Bo Liu, Yong Cheng, Qingshan Liu:
Intellectual property protection for deep semantic segmentation models. Frontiers Comput. Sci. 17(1): 171306 (2023)- [j156]Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng:
Optimization-Based Post-Training Quantization With Bit-Split and Stitching. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2119-2135 (2023) - [j155]Hui Shuai, Lele Wu, Qingshan Liu:
Adaptive Multi-View and Temporal Fusing Transformer for 3D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4122-4135 (2023) - [j154]Guangyu Liu, Rui Zhang, Renlong Hang, Lingling Ge, Chunxiang Shi, Qingshan Liu:
Statistical Downscaling of Temperature Distributions in Southwest China by Using Terrain-Guided Attention Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1678-1690 (2023) - [j153]Renlong Hang, Xuwei Qian, Qingshan Liu:
MSNet: Multi-Resolution Synergistic Networks for Adaptive Inference. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2009-2018 (2023) - [j152]Guiyu Xia, Furong Ma, Qingshan Liu, Du Zhang:
Pose-Driven Realistic 2-D Motion Synthesis. IEEE Trans. Cybern. 53(4): 2412-2425 (2023) - [j151]Huan Ni, Qingshan Liu, Haiyan Guan, Hong Tang, Jocelyn Chanussot:
Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j150]Hui Shuai, Qingshan Liu:
Geometry-Injected Image-Based Point Cloud Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j149]Feng Zhou, Chao Xu, Renlong Hang, Rui Zhang, Qingshan Liu:
Mining Joint Intraimage and Interimage Context for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j148]Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu:
Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 32: 496-508 (2023) - [i30]Shengqin Jiang, Bowen Li, Fengna Cheng, Qingshan Liu:
Crowd Counting with Online Knowledge Learning. CoRR abs/2303.10318 (2023) - 2022
- [j147]Yuan Yuan, Lei Lin, Qingshan Liu, Renlong Hang, Zengguang Zhou:
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification. Int. J. Appl. Earth Obs. Geoinformation 106: 102651 (2022) - [j146]Lei Zhu, Shanmin Wang, Zengqun Zhao, Xiang Xu, Qingshan Liu:
CED-Net: contextual encoder-decoder network for 3D face reconstruction. Multim. Syst. 28(5): 1713-1722 (2022) - [j145]Huihui Song, Yutong Jin, Yong Cheng, Bo Liu, Dong Liu, Qingshan Liu:
Learning interlaced sparse Sinkhorn matching network for video super-resolution. Pattern Recognit. 124: 108475 (2022) - [j144]Shanmin Wang, Hui Shuai, Qingshan Liu:
Phase Space Reconstruction Driven Spatio-Temporal Feature Learning for Dynamic Facial Expression Recognition. IEEE Trans. Affect. Comput. 13(3): 1466-1476 (2022) - [j143]Furong Ma, Guiyu Xia, Qingshan Liu:
Spatial Consistency Constrained GAN for Human Motion Transfer. IEEE Trans. Circuits Syst. Video Technol. 32(2): 730-742 (2022) - [j142]Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu:
Keyframe-Editable Real-Time Motion Synthesis. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4538-4551 (2022) - [j141]Yubao Sun, Xunhao Chen, Mohan S. Kankanhalli, Qingshan Liu, Junxia Li:
Video Snapshot Compressive Imaging Using Residual Ensemble Network. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5931-5943 (2022) - [j140]Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu:
Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6741-6752 (2022) - [j139]Jiaqing Fan, Bo Liu, Kaihua Zhang, Qingshan Liu:
Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Correspondence. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8153-8164 (2022) - [j138]Junxia Li, Zefeng Pan, Qingshan Liu, Ying Cui, Yubao Sun:
Complementarity-Aware Attention Network for Salient Object Detection. IEEE Trans. Cybern. 52(2): 873-886 (2022) - [j137]Feng Zhou, Renlong Hang, Hui Shuai, Qingshan Liu:
Hierarchical Context Network for Airborne Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j136]Renlong Hang, Xuwei Qian, Qingshan Liu:
Cross-Modality Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j135]Renlong Hang, Ping Yang, Feng Zhou, Qingshan Liu:
Multiscale Progressive Segmentation Network for High-Resolution Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j134]Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli:
Unsupervised Spatial-Spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j133]Mei Xue, Renlong Hang, Xiao-Tong Yuan, Pengfei Xiao, Qingshan Liu:
Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j132]Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu:
Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j131]Lele Wu, Zhenbo Yu, Yijiang Liu, Qingshan Liu:
Limb Pose Aware Networks for Monocular 3D Pose Estimation. IEEE Trans. Image Process. 31: 906-917 (2022) - [j130]Guiyu Xia, Peng Xue, Huaijiang Sun, Yubao Sun, Du Zhang, Qingshan Liu:
Local Self-Expression Subspace Learning Network for Motion Capture Data. IEEE Trans. Image Process. 31: 4869-4883 (2022) - [j129]Tengpeng Li, Kaihua Zhang, Shiwen Shen, Bo Liu, Qingshan Liu, Zhu Li:
Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network. IEEE Trans. Multim. 24: 492-505 (2022) - [c123]Xuwei Qian, Renlong Hang, Qingshan Liu:
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. AAAI 2022: 2099-2107 - [c122]Junru Huang, Yubao Sun, Jiaxuan Wen, Qingshan Liu:
Transformer-based Residual Network for Hyperspectral Snapshot Compressive Reconstruction. ICPR 2022: 5075-5081 - [c121]Jiaqing Fan, Tiankang Su, Kaihua Zhang, Qingshan Liu:
Bidirectionally Learning Dense Spatio-temporal Feature Propagation Network for Unsupervised Video Object Segmentation. ACM Multimedia 2022: 3646-3655 - [c120]Hui Shuai, Xiang Xu, Qingshan Liu:
Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation. PRCV (3) 2022: 28-40 - [e8]Christian Wallraven, Qingshan Liu, Hajime Nagahara:
Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13188, Springer 2022, ISBN 978-3-031-02374-3 [contents] - [e7]Christian Wallraven, Qingshan Liu, Hajime Nagahara:
Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13189, Springer 2022, ISBN 978-3-031-02443-6 [contents] - [i29]Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen:
PointAttN: You Only Need Attention for Point Cloud Completion. CoRR abs/2203.08485 (2022) - [i28]Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu:
A Unified Object Counting Network with Object Occupation Prior. CoRR abs/2212.14193 (2022) - 2021
- [j128]Qi Zhao, Guangcan Liu, Qingshan Liu:
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing 463: 554-565 (2021) - [j127]Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu:
Likelihood-constrained coupled space learning for motion synthesis. Inf. Sci. 579: 72-88 (2021) - [j126]Luhui Yue, Junxia Li, Qingshan Liu:
Body parts relevance learning via expectation-maximization for human pose estimation. Multim. Syst. 27(5): 927-939 (2021) - [j125]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Deterministic Sampling: Theories and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 549-566 (2021) - [j124]Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video saliency prediction using enhanced spatiotemporal alignment network. Pattern Recognit. 109: 107615 (2021) - [j123]Jiaqing Fan, Huihui Song, Kaihua Zhang, Kang Yang, Qingshan Liu:
Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1296-1307 (2021) - [j122]Renlong Hang, Feng Zhou, Qingshan Liu, Pedram Ghamisi:
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 59(2): 1424-1436 (2021) - [j121]Feng Zhou, Renlong Hang, Qingshan Liu:
Class-Guided Feature Decoupling Network for Airborne Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 59(3): 2245-2255 (2021) - [j120]Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification With Attention-Aided CNNs. IEEE Trans. Geosci. Remote. Sens. 59(3): 2281-2293 (2021) - [j119]Huihui Song, Wenjie Xu, Dong Liu, Bo Liu, Qingshan Liu, Dimitris N. Metaxas:
Multi-Stage Feature Fusion Network for Video Super-Resolution. IEEE Trans. Image Process. 30: 2923-2934 (2021) - [j118]Hui Shuai, Xiang Xu, Qingshan Liu:
Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation. IEEE Trans. Image Process. 30: 4973-4984 (2021) - [j117]Zengqun Zhao, Qingshan Liu, Shanmin Wang:
Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild. IEEE Trans. Image Process. 30: 6544-6556 (2021) - [j116]Renlong Hang, Qingshan Liu, Zhu Li:
Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery. IEEE Trans. Image Process. 30: 7256-7265 (2021) - [j115]Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen:
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. ACM Trans. Intell. Syst. Technol. 12(4): 51:1-51:16 (2021) - [j114]Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu:
Collaborative Local-Global Learning for Temporal Action Proposal. ACM Trans. Intell. Syst. Technol. 12(5): 55:1-55:14 (2021) - [j113]Junxia Li, Zefeng Pan, Qingshan Liu, Ziyang Wang:
Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection. IEEE Trans. Multim. 23: 1397-1409 (2021) - [j112]Guiyu Xia, Beijia Chen, Huaijiang Sun, Qingshan Liu:
Nonconvex Low-Rank Kernel Sparse Subspace Learning for Keyframe Extraction and Motion Segmentation. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1612-1626 (2021) - [j111]Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng:
Unsupervised Network Quantization via Fixed-Point Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2706-2720 (2021) - [j110]Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen:
3D Tensor Auto-encoder with Application to Video Compression. ACM Trans. Multim. Comput. Commun. Appl. 17(2): 48:1-48:18 (2021) - [c119]Zengqun Zhao, Qingshan Liu, Feng Zhou:
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. AAAI 2021: 3510-3519 - [c118]Luhui Yue, Junxia Li, Qingshan Liu:
Causal Intervention Learning for Multi-person Pose Estimation. ACPR (1) 2021: 182-194 - [c117]Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. CVPR 2021: 13703-13712 - [c116]Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu:
Deep Transport Network for Unsupervised Video Object Segmentation. ICCV 2021: 8761-8770 - [c115]Zengqun Zhao, Qingshan Liu:
Former-DFER: Dynamic Facial Expression Recognition Transformer. ACM Multimedia 2021: 1553-1561 - [i27]Hui Shuai, Lele Wu, Qingshan Liu:
Adaptively Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation. CoRR abs/2110.05092 (2021) - 2020
- [j109]Wenjie Xu, Huihui Song, Kaihua Zhang, Qingshan Liu, Jia Liu:
Learning lightweight Multi-Scale Feedback Residual network for single image super-resolution. Comput. Vis. Image Underst. 197-198: 103005 (2020) - [j108]Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu, Fei Yan, Wei Lian:
Real-time manifold regularized context-aware correlation tracking. Frontiers Comput. Sci. 14(2): 334-348 (2020) - [j107]Feng Zhou, Hui Shuai, Qingshan Liu, Guodong Guo:
Flow driven attention network for video salient object detection. IET Image Process. 14(6): 997-1004 (2020) - [j106]Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu:
Recurrent reverse attention guided residual learning for saliency object detection. Neurocomputing 389: 170-178 (2020) - [j105]Xiaolu Zhang, Huihui Song, Kaihua Zhang, Jiaojiao Qiao, Qingshan Liu:
Single image super-resolution with enhanced Laplacian pyramid network via conditional generative adversarial learning. Neurocomputing 398: 531-538 (2020) - [j104]Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding. J. Mach. Learn. Res. 21: 152:1-152:50 (2020) - [j103]Kang Yang, Huihui Song, Kaihua Zhang, Qingshan Liu:
Hierarchical attentive Siamese network for real-time visual tracking. Neural Comput. Appl. 32(18): 14335-14346 (2020) - [j102]Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu:
Learning image compressed sensing with sub-pixel convolutional generative adversarial network. Pattern Recognit. 98 (2020) - [j101]Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu:
Learning residual refinement network with semantic context representation for real-time saliency object detection. Pattern Recognit. 105: 107372 (2020) - [j100]Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu:
Selecting Optimal Completion to Partial Matrix via Self-Validation. IEEE Signal Process. Lett. 27: 1265-1269 (2020) - [j99]Rui Zhang, Qingshan Liu, Renlong Hang:
Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images. IEEE Trans. Geosci. Remote. Sens. 58(1): 586-597 (2020) - [j98]Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu:
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. IEEE Trans. Geosci. Remote. Sens. 58(7): 4939-4950 (2020) - [j97]Yubao Sun, Jiwei Chen, Qingshan Liu, Bo Liu, Guodong Guo:
Dual-Path Attention Network for Compressed Sensing Image Reconstruction. IEEE Trans. Image Process. 29: 9482-9495 (2020) - [j96]Yubao Sun, Ying Yang, Qingshan Liu, Jiwei Chen, Xiao-Tong Yuan, Guodong Guo:
Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting. IEEE Trans. Multim. 22(12): 3236-3248 (2020) - [c114]Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu:
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation. AAAI 2020: 12813-12820 - [c113]Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. CVPR 2020: 9047-9056 - [c112]Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng:
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. ECCV (3) 2020: 223-241 - [c111]Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang:
Learning Memory Augmented Cascading Network for Compressed Sensing of Images. ECCV (22) 2020: 513-529 - [c110]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-learning with Network Pruning. ECCV (19) 2020: 675-700 - [c109]Renlong Hang, Zhu Li, Qingshan Liu, Shuvra S. Bhattacharyya:
Prinet: A Prior Driven Spectral Super-Resolution Network. ICME 2020: 1-6 - [c108]Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li:
Dual Temporal Memory Network for Efficient Video Object Segmentation. ACM Multimedia 2020: 1515-1523 - [c107]Mingyuan Pan, Huihui Song, Junxia Li, Kaihua Zhang, Qingshan Liu:
Top-Down Fusing Multi-level Contextual Features for Salient Object Detection. PRCV (3) 2020: 54-65 - [e6]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12305, Springer 2020, ISBN 978-3-030-60632-9 [contents] - [e5]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12306, Springer 2020, ISBN 978-3-030-60638-1 [contents] - [e4]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12307, Springer 2020, ISBN 978-3-030-60635-0 [contents] - [i26]Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network. CoRR abs/2001.00292 (2020) - [i25]Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu:
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. CoRR abs/2002.01144 (2020) - [i24]Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li:
Dual Temporal Memory Network for Efficient Video Object Segmentation. CoRR abs/2003.06125 (2020) - [i23]Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection. CoRR abs/2003.06167 (2020) - [i22]Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification with Attention Aided CNNs. CoRR abs/2005.11977 (2020) - [i21]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-Learning with Network Pruning. CoRR abs/2007.03219 (2020) - [i20]Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli:
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction. CoRR abs/2012.12086 (2020)
2010 – 2019
- 2019
- [j95]Jiaojiao Qiao, Huihui Song, Kaihua Zhang, Xiaolu Zhang, Qingshan Liu:
Image super-resolution using conditional generative adversarial network. IET Image Process. 13(14): 2673-2679 (2019) - [j94]Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen:
Moving object detection via segmentation and saliency constrained RPCA. Neurocomputing 323: 352-362 (2019) - [j93]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Hyperspectral image classification using spectral-spatial LSTMs. Neurocomputing 328: 39-47 (2019) - [j92]Rongrong Fan, Jiaqing Fan, Qingshan Liu:
实时高置信度更新补充学习跟踪 (Real-time High-confidence Update Complementary Learner Tracking). 计算机科学 46(3): 137-141 (2019) - [j91]Lingling Ge, Renlong Hang, Qingshan Liu:
Retrieving Soil Moisture Over Continental U.S. via Multi-View Multi-Task Learning. IEEE Geosci. Remote. Sens. Lett. 16(12): 1954-1958 (2019) - [j90]Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu, Wei Lian:
Low-rank weighted co-saliency detection via efficient manifold ranking. Multim. Tools Appl. 78(15): 21309-21324 (2019) - [j89]Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Qingshan Liu, Xin Zhang:
Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 323-336 (2019) - [j88]Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha:
Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1382-1396 (2019) - [j87]Peixian Zhuang, Qingshan Liu, Xinghao Ding:
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. Signal Process. 156: 177-190 (2019) - [j86]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(5): 1549-1558 (2019) - [j85]Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi:
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(8): 5384-5394 (2019) - [j84]Guiyu Xia, Huaijiang Sun, Qingshan Liu, Renlong Hang:
Learning-Based Sphere Nonlinear Interpolation for Motion Synthesis. IEEE Trans. Ind. Informatics 15(5): 2927-2937 (2019) - [j83]Kaihua Zhang, Jiaqing Fan, Qingshan Liu, Jian Yang, Wei Lian:
Parallel Attentive Correlation Tracking. IEEE Trans. Image Process. 28(1): 479-491 (2019) - [j82]Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong:
Robust Subspace Clustering With Compressed Data. IEEE Trans. Image Process. 28(10): 5161-5170 (2019) - [c106]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas:
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS 2019: 343-352 - [c105]Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu:
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. CVPR 2019: 3095-3104 - [c104]Rongrong Fan, Hui Shuai, Qingshan Liu:
PointNet-Based Channel Attention VLAD Network. PRCV (3) 2019: 320-331 - [c103]Junxia Li, Lingzheng Dai, Yu Ding, Qingshan Liu:
Local Context Embedding Neural Network for Scene Semantic Segmentation. PRCV (2) 2019: 354-366 - [i19]Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi:
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. CoRR abs/1902.10858 (2019) - [i18]Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu:
Deep Object Co-segmentation via Spatial-Semantic Network Modulation. CoRR abs/1911.12950 (