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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://dblp1.uni-trier.de/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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Journal Articles
- 2024
[j168]Hui Lin, Renlong Hang, Shanmin Wang, Qingshan Liu:
DiFormer: A Difference Transformer Network for Remote Sensing Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j167]Renlong Hang, Siqi Xu, Panli Yuan, Qingshan Liu:
AANet: An Ambiguity-Aware Network for Remote-Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j166]Rui Zhang, Yingjie Liu, Luhui Yue, Qingshan Liu, Renlong Hang:
Estimating Tropical Cyclone Intensity Using an STIA Model From Himawari-8 Satellite Images in the Western North Pacific Basin. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j165]Feng Zhou, Chao Xu, Guowei Yang, Renlong Hang, Qingshan Liu:
Masked Spectral-Spatial Feature Prediction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j164]Junxia Li, Deshuo Shi, Ying Cui, Dongyan Guo, Qingshan Liu:
Adaptive Activation Network for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 26: 6078-6089 (2024) - [j163]Fanfan Ji, Xiao-Tong Yuan, Qingshan Liu:
Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data. IEEE Trans. Multim. 26: 6759-6769 (2024) - 2023
- [j162]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) - [j161]Furong Ma, Guiyu Xia, Qingshan Liu:
Human pose transfer via shape-aware partial flow prediction network. Multim. Syst. 29(4): 2059-2072 (2023) - [j160]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) - [j159]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) - [j158]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) - [j157]Shanmin Wang, Hui Shuai, Chengguang Liu, Qingshan Liu:
Bias-Based Soft Label Learning for Facial Expression Recognition. IEEE Trans. Affect. Comput. 14(4): 3257-3268 (2023) - [j156]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) - [j155]Guiyu Xia, Dong Luo, Zeyuan Zhang, Yubao Sun, Qingshan Liu:
3D Information Guided Motion Transfer via Sequential Image Based Human Model Refinement and Face-Attention GAN. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3270-3283 (2023) - [j154]Guiyu Xia, Furong Ma, Qingshan Liu, Du Zhang:
Pose-Driven Realistic 2-D Motion Synthesis. IEEE Trans. Cybern. 53(4): 2412-2425 (2023) - [j153]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) - [j152]Hui Shuai, Qingshan Liu:
Geometry-Injected Image-Based Point Cloud Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j151]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) - [j150]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) - [j149]Kaihua Zhang, Yang Wu, Mingliang Dong, Bo Liu, Dong Liu, Qingshan Liu:
Deep Object Co-Segmentation and Co-Saliency Detection via High-Order Spatial-Semantic Network Modulation. IEEE Trans. Multim. 25: 5733-5746 (2023) - [j148]Junxia Li, Ziyang Wang, Zefeng Pan, Qingshan Liu, Dongyan Guo:
Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3580-3593 (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) - 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) - 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) - 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) - 2018
- [j81]Hui Shuai, Qingshan Liu, Kaihua Zhang, Jing Yang, Jiankang Deng:
Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection. IEEE Access 6: 3096-3106 (2018) - [j80]Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu, Wei Lian:
Complementary Tracking via Dual Color Clustering and Spatio-Temporal Regularized Correlation Learning. IEEE Access 6: 56526-56538 (2018) - [j79]Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu:
Multi-component group sparse RPCA model for motion object detection under complex dynamic background. Neurocomputing 314: 120-131 (2018) - [j78]Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng:
Spatio-temporal convolutional features with nested LSTM for facial expression recognition. Neurocomputing 317: 50-57 (2018) - [j77]Yang Li, Yubao Sun, Qingshan Liu, Shengyong Chen:
Fast subspace segmentation via Random Sample Probing. Neurocomputing 319: 66-73 (2018) - [j76]Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang:
Visual tracking via Boolean map representations. Pattern Recognit. 81: 147-160 (2018) - [j75]Kaihua Zhang, Xuejun Li, Huihui Song, Qingshan Liu, Wei Lian:
Visual tracking using spatio-temporally nonlocally regularized correlation filter. Pattern Recognit. 83: 185-195 (2018) - [j74]Junxia Li, Jian Yang, Chen Gong, Qingshan Liu:
Saliency fusion via sparse and double low rank decomposition. Pattern Recognit. Lett. 107: 114-122 (2018) - [j73]Lingling Ge, Renlong Hang, Yi Liu, Qingshan Liu:
Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations. Remote. Sens. 10(9): 1327 (2018) - [j72]Huihui Song, Qingshan Liu, Guojie Wang, Renlong Hang, Bo Huang:
Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 821-829 (2018) - [j71]Renlong Hang, Qingshan Liu:
Dimensionality Reduction of Hyperspectral Image Using Spatial Regularized Local Graph Discriminant Embedding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(9): 3262-3271 (2018) - [j70]Qingshan Liu, Jiaqing Fan, Huihui Song, Wei Chen, Kaihua Zhang:
Visual Tracking via Nonlocal Similarity Learning. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2826-2835 (2018) - [j69]Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li:
Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 117-126 (2018) - [j68]Guiyu Xia, Huaijiang Sun, Beijia Chen, Qingshan Liu, Lei Feng, Guoqing Zhang, Renlong Hang:
Nonlinear Low-Rank Matrix Completion for Human Motion Recovery. IEEE Trans. Image Process. 27(6): 3011-3024 (2018) - [j67]Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu:
Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2441-2449 (2018) - [j66]Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha:
A Self-Paced Regularization Framework for Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2660-2666 (2018) - 2017
- [j65]Zongguang Lu, Jing Yang, Qingshan Liu:
Face image retrieval based on shape and texture feature fusion. Comput. Vis. Media 3(4): 359-368 (2017) - [j64]Guangcan Liu, Qingshan Liu, Ping Li:
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 47-60 (2017) - [j63]Xiao-Tong Yuan, Qingshan Liu:
Newton-Type Greedy Selection Methods for ℓ0-Constrained Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2437-2450 (2017) - [j62]Qingshan Liu, Jing Yang, Jiankang Deng, Kaihua Zhang:
Robust facial landmark tracking via cascade regression. Pattern Recognit. 66: 53-62 (2017) - [j61]Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu:
Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images. Remote. Sens. 9(5): 506 (2017) - [j60]Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan:
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. Remote. Sens. 9(12): 1330 (2017) - [j59]Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun, Fuping Zhu, Hucheng Pei:
Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 277-285 (2017) - [j58]Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza, Antonio Plaza:
Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 2002-2011 (2017) - [j57]Huihui Song, Guojie Wang, Anjie Cao, Qingshan Liu, Bo Huang:
Improving the Spatial Resolution of FY-3 Microwave Radiation Imager via Fusion With FY-3/MERSI. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(7): 3055-3063 (2017) - [j56]Qingshan Liu, Yubao Sun, Renlong Hang, Huihui Song:
Spatial-Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(9): 4171-4182 (2017) - [j55]Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu:
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection. IEEE Trans. Cybern. 47(12): 4289-4301 (2017) - [j54]Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition. ACM Trans. Embed. Comput. Syst. 16(3): 75:1-75:17 (2017) - [j53]Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao:
Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification. IEEE Trans. Image Process. 26(1): 452-463 (2017) - [j52]Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao:
Adaptive Cascade Regression Model For Robust Face Alignment. IEEE Trans. Image Process. 26(2): 797-807 (2017) - 2016
- [j51]Jing Yang, Kaihua Zhang, Qingshan Liu:
Robust object tracking by online Fisher discrimination boosting feature selection. Comput. Vis. Image Underst. 153: 100-108 (2016) - [j50]Wei Chen, Kaihua Zhang, Qingshan Liu:
Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble. Neurocomputing 214: 607-617 (2016) - [j49]Jiankang Deng, Qingshan Liu, Jing Yang, Dacheng Tao:
M3 CSR: Multi-view, multi-scale and multi-component cascade shape regression. Image Vis. Comput. 47: 19-26 (2016) - [j48]Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan:
A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 417-430 (2016) - [j47]Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu:
FaceHunter: A multi-task convolutional neural network based face detector. Signal Process. Image Commun. 47: 476-481 (2016) - [j46]Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun:
Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion. IEEE Trans. Geosci. Remote. Sens. 54(2): 783-794 (2016) - [j45]Qingshan Liu, Jiankang Deng, Dacheng Tao:
Dual Sparse Constrained Cascade Regression for Robust Face Alignment. IEEE Trans. Image Process. 25(2): 700-712 (2016) - [j44]Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang:
Robust Visual Tracking via Convolutional Networks Without Training. IEEE Trans. Image Process. 25(4): 1779-1792 (2016) - [j43]Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi:
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE Trans. Medical Imaging 35(1): 119-130 (2016) - [j42]Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu:
Efficient χ2 Kernel Linearization via Random Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2448-2453 (2016) - [j41]Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang:
Max-Margin-Based Discriminative Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2768-2775 (2016) - 2015
- [j40]Jiankang Deng, Yubao Sun, Qingshan Liu, Hanqing Lu:
Low rank driven robust facial landmark regression. Neurocomputing 151: 196-206 (2015) - [j39]Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu:
Sparse random projection for χ2 kernel linearization: Algorithm and applications to image classification. Neurocomputing 151: 327-332 (2015) - [j38]Liguo Weng, Min Xia, Wei Wang, Qingshan Liu:
Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network. Int. J. Syst. Sci. 46(1): 152-158 (2015) - [j37]Jiankang Deng, Jing Yang, Yubao Sun, Qingshan Liu:
基于稀疏级联回归的快速人脸配准方法及其在移动设备上的应用 (Fast Face Alignment Method Based on Sparse Cascade Regression and its Application on Mobile Devices). 计算机科学 42(10): 301-305 (2015) - [j36]Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu:
How friends affect user behaviors? An exploration of social relation analysis for recommendation. Knowl. Based Syst. 88: 70-84 (2015) - [j35]Shengye Yan, Qingshan Liu:
Inferring occluded features for fast object detection. Signal Process. 110: 188-198 (2015) - [j34]Kaihua Zhang, Qingshan Liu, Huihui Song, Xuelong Li:
A Variational Approach to Simultaneous Image Segmentation and Bias Correction. IEEE Trans. Cybern. 45(8): 1426-1437 (2015) - [j33]Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N. Metaxas:
Learning Multiscale Active Facial Patches for Expression Analysis. IEEE Trans. Cybern. 45(8): 1499-1510 (2015) - [j32]Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu:
Human Age Estimation Based on Locality and Ordinal Information. IEEE Trans. Cybern. 45(11): 2522-2534 (2015) - [j31]Huihui Song, Bo Huang, Qingshan Liu, Kaihua Zhang:
Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 53(3): 1195-1204 (2015) - [j30]Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu:
Ordinal Distance Metric Learning for Image Ranking. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1551-1559 (2015) - 2014
- [j29]Shengye Yan, Xinxing Xu, Qingshan Liu:
Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance. Int. J. Autom. Comput. 11(5): 480-488 (2014) - [j28]Shengye Yan, Xinxing Xu, Qingshan Liu:
Learning the object location, scale and view for image categorization with adapted classifier. Inf. Sci. 281: 661-673 (2014) - [j27]Yubao Sun, Qingshan Liu, Jinhui Tang, Dacheng Tao:
Learning Discriminative Dictionary for Group Sparse Representation. IEEE Trans. Image Process. 23(9): 3816-3828 (2014) - 2013
- [j26]Qingshan Liu, Yueting Zhuang:
Learning for scalable multimedia representation. Neurocomputing 105: 1-2 (2013) - [j25]Chunmei Liu, Changbo Hu, Qingshan Liu, J. K. Aggarwal:
Video event description in scene context. Neurocomputing 119: 82-93 (2013) - [j24]Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas:
Recognizing expressions from face and body gesture by temporal normalized motion and appearance features. Image Vis. Comput. 31(2): 175-185 (2013) - [j23]Faiz M. Hasanuzzaman, Xiaodong Yang, Yingli Tian, Qingshan Liu, Elizabeth Capezuti:
Monitoring activity of taking medicine by incorporating RFID and video analysis. Netw. Model. Anal. Health Informatics Bioinform. 2(2): 61-70 (2013) - [j22]Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu:
Ordinal regularized manifold feature extraction for image ranking. Signal Process. 93(6): 1651-1661 (2013) - 2012
- [j21]Xinyi Cui, Qingshan Liu, Shaoting Zhang, Fei Yang, Dimitris N. Metaxas:
Temporal Spectral Residual for fast salient motion detection. Neurocomputing 86: 24-32 (2012) - [j20]Changsheng Xu, Alan Hanjalic, Shuicheng Yan, Qingshan Liu, Alan F. Smeaton:
Special Section on Object and Event Classification in Large-Scale Video Collections. IEEE Trans. Multim. 14(1): 1-2 (2012) - 2011
- [j19]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Dynamic soft encoded patterns for facial event analysis. Comput. Vis. Image Underst. 115(3): 456-465 (2011) - [j18]Yuchi Huang, Qingshan Liu, Fengjun Lv, Yihong Gong, Dimitris N. Metaxas:
Unsupervised Image Categorization by Hypergraph Partition. IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1266-1273 (2011) - [j17]Qingshan Liu, Yuchi Huang, Dimitris N. Metaxas:
Hypergraph with sampling for image retrieval. Pattern Recognit. 44(10-11): 2255-2262 (2011) - [j16]Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel:
Identifying Regional Cardiac Abnormalities From Myocardial Strains Using Nontracking-Based Strain Estimation and Spatio-Temporal Tensor Analysis. IEEE Trans. Medical Imaging 30(12): 2017-2029 (2011) - [j15]Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas:
A Component-Based Framework for Generalized Face Alignment. IEEE Trans. Syst. Man Cybern. Part B 41(1): 287-298 (2011) - 2010
- [j14]Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N. Metaxas:
Lennard-Jones force field for geometric active contour. Signal Process. 90(4): 1249-1266 (2010) - 2009
- [j13]Qingshan Liu, Xuelong Li, Ahmed M. Elgammal, Xian-Sheng Hua, Dong Xu, Dacheng Tao:
Introduction to computer vision and image understanding the special issue on video analysis. Comput. Vis. Image Underst. 113(3): 317-318 (2009) - [j12]Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma:
Image annotation via graph learning. Pattern Recognit. 42(2): 218-228 (2009) - [j11]Shiguang Shan, Qingshan Liu, Dacheng Tao, Dong Xu, Shuicheng Yan, Xuelong Li:
Introduction to the special issue on Video-based Object and Event Analysis. Pattern Recognit. Lett. 30(2): 87 (2009) - [j10]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Boosting encoded dynamic features for facial expression recognition. Pattern Recognit. Lett. 30(2): 132-139 (2009) - 2008
- [j9]Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma:
A new extension of kernel feature and its application for visual recognition. Neurocomputing 71(10-12): 1850-1856 (2008) - [j8]Jinqiao Wang, Ling-Yu Duan, Qingshan Liu, Hanqing Lu, Jesse S. Jin:
A Multimodal Scheme for Program Segmentation and Representation in Broadcast Video Streams. IEEE Trans. Multim. 10(3): 393-408 (2008) - 2007
- [j7]Haifeng Wang, Qingshan Liu, Hanqing Lu:
An improved variable-size block-matching algorithm. Multim. Tools Appl. 34(2): 221-237 (2007) - 2006
- [j6]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Ensemble learning for independent component analysis. Pattern Recognit. 39(1): 81-88 (2006) - [j5]Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma:
Face recognition using kernel scatter-difference-based discriminant analysis. IEEE Trans. Neural Networks 17(4): 1081-1085 (2006) - 2005
- [j4]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Supervised kernel locality preserving projections for face recognition. Neurocomputing 67: 443-449 (2005) - 2004
- [j3]Qingshan Liu, Hanqing Lu, Songde Ma:
Improving kernel Fisher discriminant analysis for face recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1): 42-49 (2004) - 2003
- [j2]Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma:
Kernel-Based Nonlinear Discriminant Analysis for Face Recognition. J. Comput. Sci. Technol. 18(6): 788-795 (2003) - 2002
- [j1]Qingshan Liu, Songde Ma, Hanqing Lu:
Head Tracking Using Shapes and Adaptive Color Histograms. J. Comput. Sci. Technol. 17(6): 859-864 (2002)
Conference and Workshop Papers
- 2024
- [c126]Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen:
PointAttN: You Only Need Attention for Point Cloud Completion. AAAI 2024: 5472-5480 - 2023
- [c125]Chengguang Liu, Shanmin Wang, Hui Shuai, Qingshan Liu:
ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition. ICIG (4) 2023: 33-46 - [c124]Jiaqing Fan, Tiankang Su, Kaihua Zhang, Bo Liu, Qingshan Liu:
Temporally Efficient Gabor Transformer for Unsupervised Video Object Segmentation. ACM Multimedia 2023: 3394-3402 - 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 - 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 - 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 - 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 - 2018
- [c102]Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [c101]Zhenni Cai, Qingshan Liu, Shanmin Wang, Bruce Yang:
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment. ICPR 2018: 495-500 - [c100]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification. PRCV (4) 2018: 409-420 - 2017
- [c99]Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. AAAI 2017: 2175-2181 - [c98]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Hyperspectral Image Classification Using Spectral-Spatial LSTMs. CCCV (1) 2017: 577-588 - [c97]Jing Yang, Qingshan Liu, Kaihua Zhang:
Stacked Hourglass Network for Robust Facial Landmark Localisation. CVPR Workshops 2017: 2025-2033 - [c96]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. ICML 2017: 2179-2187 - [c95]Mercedes Eugenia Paoletti, Juan Mario Haut, Javier Plaza, Antonio Plaza, Qingshan Liu, Renlong Hang:
Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification. IGARSS 2017: 2247-2250 - [c94]Guangcan Liu, Qingshan Liu, Xiaotong Yuan:
A New Theory for Matrix Completion. NIPS 2017: 785-794 - 2016
- [c93]Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Decentralized Robust Subspace Clustering. AAAI 2016: 3539-3545 - [c92]Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang:
Spatially Regularized Streaming Sensor Selection. AAAI 2016: 3871-3879 - [c91]Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas:
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. IJCAI 2016: 1760-1766 - [c90]Lai Li, Guangcan Liu, Qingshan Liu:
Advancing Iterative Quantization Hashing Using Isotropic Prior. MMM (2) 2016: 174-184 - [c89]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - 2015
- [c88]Zhi Li, Yubao Sun, Feng Wang, Qingshan Liu:
Convolutional Neural Networks for Clothes Categories. CCCV (2) 2015: 120-129 - [c87]Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan:
Additive Nearest Neighbor Feature Maps. ICCV 2015: 2866-2874 - [c86]Jing Yang, Jiankang Deng, Kaihua Zhang, Qingshan Liu:
Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression. ICCV Workshops 2015: 994-1002 - [c85]Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu:
Hierarchical Convolutional Neural Network for Face Detection. ICIG (2) 2015: 373-384 - 2014
- [c84]Xiao-Tong Yuan, Qingshan Liu:
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. CVPR 2014: 4122-4129 - [c83]Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang:
Fast Visual Tracking via Dense Spatio-temporal Context Learning. ECCV (5) 2014: 127-141 - [c82]Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai, Qingshan Liu, Hanqing Lu:
Discriminative Context Models for Collective Activity Recognition. ICPR 2014: 648-653 - [c81]Changsheng Li, Lin Yang, Qingshan Liu, Fanjing Meng, Weishan Dong, Yu Wang, Jingmin Xu:
Multiple-Output Regression with High-Order Structure Information. ICPR 2014: 3868-3873 - 2013
- [c80]Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu:
A Weighted One Class Collaborative Filtering with Content Topic Features. MMM (2) 2013: 417-427 - 2012
- [c79]Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas:
Learning active facial patches for expression analysis. CVPR 2012: 2562-2569 - [c78]Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu:
Learning ordinal discriminative features for age estimation. CVPR 2012: 2570-2577 - [c77]Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu:
Learning distance metric regression for facial age estimation. ICPR 2012: 2327-2330 - [c76]Changsheng Li, Jing Liu, Yan Liu, Changsheng Xu, Qingshan Liu, Hanqing Lu:
Ordinal preserving projection: a novel dimensionality reduction method for image ranking. ICMR 2012: 17 - 2011
- [c75]Faiz M. Hasanuzzaman, Yingli Tian, Qingshan Liu:
Identifying medicine bottles by incorporating RFID and video analysis. BIBM Workshops 2011: 528-529 - [c74]Nicholas Michael, Peng Yang, Qingshan Liu, Dimitris N. Metaxas, Carol Neidle:
A Framework for the Recognition of Nonmanual Markers in Segmented Sequences of American Sign Language. BMVC 2011: 1-12 - [c73]Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas:
Recognizing expressions from face and body gesture by temporal normalized motion and appearance features. CVPR Workshops 2011: 7-12 - [c72]Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas:
Abnormal detection using interaction energy potentials. CVPR 2011: 3161-3167 - [c71]Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas:
Segment and recognize expression phase by fusion of motion area and neutral divergence features. FG 2011: 330-335 - [c70]Peng Yang, Hui Li, Qingshan Liu, Lin Zhong, Dimitris N. Metaxas:
Content quality based image retrieval with multiple instance boost ranking. ACM Multimedia 2011: 1193-1196 - 2010
- [c69]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Exploring facial expressions with compositional features. CVPR 2010: 2638-2644 - [c68]Yuchi Huang, Qingshan Liu, Shaoting Zhang, Dimitris N. Metaxas:
Image retrieval via probabilistic hypergraph ranking. CVPR 2010: 3376-3383 - [c67]Qingshan Liu, Zhen Qian, Idean Marvasty, Sarah Rinehart, Szilard Voros, Dimitris N. Metaxas:
Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines. MICCAI (1) 2010: 484-492 - 2009
- [c66]Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas:
Video object segmentation by hypergraph cut. CVPR 2009: 1738-1745 - [c65]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
RankBoost with l1 regularization for facial expression recognition and intensity estimation. ICCV 2009: 1018-1025 - [c64]Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu:
Expanded bag of words representation for object classification. ICIP 2009: 297-300 - [c63]Zhenglong Li, Qingshan Liu, Hanqing Lu:
A variational multi-view learning framework and its application to image segmentation. ICME 2009: 1516-1519 - [c62]Xinyi Cui, Qingshan Liu, Dimitris N. Metaxas:
Temporal spectral residual: fast motion saliency detection. ACM Multimedia 2009: 617-620 - 2008
- [c61]Peng Yang, Qingshan Liu, Xinyi Cui, Dimitris N. Metaxas:
Facial expression recognition using encoded dynamic features. CVPR 2008 - [c60]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Similarity Features for Facial Event Analysis. ECCV (1) 2008: 685-696 - [c59]Qingshan Liu, Dimitris N. Metaxas:
Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification. ETVC 2008: 254-267 - [c58]Cunxun Zang, Qingshan Liu, Jian Cheng, Hanqing Lu:
Human-centered image navigation on mobile devices. ICME 2008: 321-324 - [c57]Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu:
A variational inference based approach for image segmentation. ICPR 2008: 1-4 - [c56]Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N. Metaxas:
Lennard-Jones force field for Geometric Active Contour. ICPR 2008: 1-4 - [c55]Chunlei Huo, Keming Chen, Zhixin Zhou, Hanqing Lu, Jian Cheng, Qingshan Liu:
A Multilevel Contextual Approach to Change Detection for very high Resolution Images. IGARSS (4) 2008: 185-188 - [c54]Chunlei Huo, Zhixin Zhou, Qingshan Liu, Jian Cheng, Hanqing Lu, Keming Chen:
Urban Change Detection based on Local Features and Multiscale Fusion. IGARSS (3) 2008: 1236-1239 - [c53]Jinghao Zhou, Sukmoon Chang, Qingshan Liu, George J. Pappas, Vasilios Boronikolas, Michael Michaelides, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas:
A novel learning based segmentation method for rodent brain structures using MRI. ISBI 2008: 61-64 - [c52]Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel:
Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis. MICCAI (1) 2008: 789-797 - 2007
- [c51]Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu:
Image Segmentation Using Co-EM Strategy. ACCV (2) 2007: 827-836 - [c50]Zhiguo Li, Qingshan Liu, Dimitris N. Metaxas:
Face Mis-alignment Analysis by Multiple-Instance Subspace. ACCV (2) 2007: 901-910 - [c49]Qingshan Liu, Dimitris N. Metaxas:
A Unified Framework of Subspace and Distance Metric Learning for Face Recognition. AMFG 2007: 250-260 - [c48]Wang Yan, Qiqi Wang, Qingshan Liu, Hanqing Lu, Songde Ma:
Topology-Preserved Diffusion Distance for Histogram Comparison. BMVC 2007: 1-10 - [c47]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition. CVPR 2007 - [c46]Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas:
A Component Based Deformable Model for Generalized Face Alignment. ICCV 2007: 1-8 - [c45]Jinqiao Wang, Lingyu Duan, Qingshan Liu, Hanqing Lu, Jesse S. Jin:
Robust Commercial Retrieval in Video Streams. ICME 2007: 260-263 - [c44]Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma:
Image Annotation Refinement using NSC-Based Word Correlation. ICME 2007: 799-802 - [c43]Cunxun Zang, Qingshan Liu, Hanqing Lu, Kongqiao Wang:
A New Multimedia Message Customizing Framework for mobile Devices. ICME 2007: 1043-1046 - [c42]Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Facial Expression Recognition using Encoded Dynamic Features. ICME 2007: 1107-1110 - [c41]Sukmoon Chang, Jinghao Zhou, Qingshan Liu, Dimitris N. Metaxas, Bruce G. Haffty, Sung N. Kim, Salma J. Jabbour, Ning J. Yue:
Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy. MICCAI (1) 2007: 751-758 - [c40]Jinqiao Wang, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu:
Automatic TV Logo Detection, Tracking and Removal in Broadcast Video. MMM (2) 2007: 63-72 - 2006
- [c39]Zhenglong Li, Qingshan Liu, Hanqing Lu:
A Geometric Contour Framework with Vector Field Support. ACCV (2) 2006: 214-223 - [c38]Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma:
Multiple Similarities Based Kernel Subspace Learning for Image Classification. ACCV (2) 2006: 244-253 - [c37]Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu:
Automatic Moving Object Segmentation with Accurate Boundaries. ACCV (1) 2006: 276-285 - [c36]Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu:
Fast Global Motion Estimation Via Iterative Least-Square Method. ACCV (2) 2006: 343-352 - [c35]Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma:
Boosting Multi-gabor Subspaces for Face Recognition. ACCV (1) 2006: 539-548 - [c34]Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu:
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction. ICME 2006: 125-128 - [c33]Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, Songde Ma:
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions. ICME 2006: 505-508 - [c32]Zhenglong Li, Qingshan Liu, Hanqing Lu:
A Geometric Active Contour Framework using Multi-Cue and Local Feature. ICPR (2) 2006: 113-116 - [c31]Qingshan Liu, Wang Yan, Hanqing Lu, Songde Ma:
Occlusion Robust Face Recognition with Dynamic Similarity Features. ICPR (3) 2006: 544-547 - [c30]Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma:
Dynamic Similarity Kernel for Visual Recognition. KES (2) 2006: 47-54 - [c29]Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, Hanqing Lu:
An adaptive graph model for automatic image annotation. Multimedia Information Retrieval 2006: 61-70 - [c28]Cunxun Zang, Qingshan Liu, Xiaofeng Tong, Hanqing Lu:
A framework for providing adaptive sports video to mobile devices. MobiMedia 2006: 37 - 2005
- [c27]Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing Lu, Songde Ma:
A Nonlinear Approach for Face Sketch Synthesis and Recognition. CVPR (1) 2005: 1005-1010 - [c26]Hongliang Jin, Qingshan Liu, Xiaoou Tang, Hanqing Lu:
Learning Local Descriptors for Face Detection. ICME 2005: 928-931 - [c25]Zhigang Hua, Xiang-Jun Wang, Xing Xie, Qingshan Liu, Hanqing Lu, Wei-Ying Ma:
AIRE: an ambient interactive and responsive environment for mobile image management. Mobile HCI 2005: 343-344 - [c24]Xiaofeng Tong, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu, Qi Tian:
A unified framework for semantic shot representation of sports video. Multimedia Information Retrieval 2005: 127-134 - [c23]Qingshan Liu, Zhigang Hua, Cunxun Zang, Xiaofeng Tong, Hanqing Lu:
Providing on-demand sports video to mobile devices. ACM Multimedia 2005: 347-350 - [c22]Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing Lu:
Semantic knowledge extraction and annotation for web images. ACM Multimedia 2005: 467-470 - [c21]Xiaofeng Tong, Qingshan Liu, Yifan Zhang, Hanqing Lu:
Highlight ranking for sports video browsing. ACM Multimedia 2005: 519-522 - [c20]Jia Wang, Hanqing Lu, Qingshan Liu:
Fast Global Motion Estimation via Modified ILSE Method. MVA 2005: 448-451 - 2004
- [c19]Hongliang Jin, Qingshan Liu, Hanqing Lu:
Face Detection Using One-Class-Based Support Vectors. FGR 2004: 457-462 - [c18]Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma:
Modeling Face Appearance With Nonlinear Independent Component Analysis. FGR 2004: 761-766 - [c17]Feng Liu, Qingshan Liu, Hanqing Lu:
Robust color-based tracking. ICIG 2004: 132-135 - [c16]Hongliang Jin, Qingshan Liu, Hanqing Lu, Xiaofeng Tong:
Face detection using improved LBP under Bayesian framework. ICIG 2004: 306-309 - [c15]Xiaofeng Tong, Hanqing Lu, Qingshan Liu, Hongliang Jin:
Replay detection in broadcasting sports video. ICIG 2004: 337-340 - [c14]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
A supervised nonlinear local embedding for face recognition. ICIP 2004: 83-86 - [c13]Xiaofeng Tong, Qingshan Liu, Hanqing Lu:
Semantic units based events detection in soccer videos. ICIP 2004: 1621-1624 - [c12]Jia Wang, Hanqing Lu, Qingshan Liu:
Feature space analysis using low-order tensor voting. ICIP 2004: 2681-2684 - [c11]Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu:
A three-layer event detection framework and its application in soccer video. ICME 2004: 1551-1554 - [c10]Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma:
Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition. ICPR (2) 2004: 419-422 - [c9]Jia Wang, Hanqing Lu, Qingshan Liu:
Tensor Voting Toward Feature Space Analysis. ICPR (3) 2004: 462-465 - [c8]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Texture Classification Using Kernel Independent Component Analysi. ICPR (1) 2004: 620-623 - [c7]Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma:
Distance Based Kernel PCA Image Reconstruction. ICPR (3) 2004: 670-673 - [c6]Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu:
An Effective and Fast Soccer Ball Detection and Tracking Method. ICPR (4) 2004: 795-798 - [c5]Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma:
Improving ICA Performance for Modeling Image Appearance with the Kernel Trick. KES 2004: 344-351 - [c4]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Random Independent Subspace for Face Recognition. KES 2004: 352-358 - 2002
- [c3]Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma:
Face Recognition Using Kernel Based Fisher Discriminant Analysis. FGR 2002: 197-201 - [c2]Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma:
Solving the Small Sample Size Problem of LDA. ICPR (3) 2002: 29-32 - [c1]Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma:
Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition. ICPR (2) 2002: 362-365
Parts in Books or Collections
- 2017
- [p1]Jun Xu, Chao Zhou, Bing Lang, Qingshan Liu:
Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 73-95
Editorship
- 2024
- [e21]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14425, Springer 2024, ISBN 978-981-99-8428-2 [contents] - [e20]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14426, Springer 2024, ISBN 978-981-99-8431-2 [contents] - [e19]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14427, Springer 2024, ISBN 978-981-99-8434-3 [contents] - [e18]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14428, Springer 2024, ISBN 978-981-99-8461-9 [contents] - [e17]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14429, Springer 2024, ISBN 978-981-99-8468-8 [contents] - [e16]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14430, Springer 2024, ISBN 978-981-99-8536-4 [contents] - [e15]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14431, Springer 2024, ISBN 978-981-99-8539-5 [contents] - [e14]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14432, Springer 2024, ISBN 978-981-99-8542-5 [contents] - [e13]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14433, Springer 2024, ISBN 978-981-99-8545-6 [contents] - [e12]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14434, Springer 2024, ISBN 978-981-99-8548-7 [contents] - [e11]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI. Lecture Notes in Computer Science 14435, Springer 2024, ISBN 978-981-99-8551-7 [contents] - [e10]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII. Lecture Notes in Computer Science 14436, Springer 2024, ISBN 978-981-99-8554-8 [contents] - [e9]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Lecture Notes in Computer Science 14437, Springer 2024, ISBN 978-981-99-8557-9 [contents] - 2022
- [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] - 2020
- [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] - 2017
- [e3]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I. Communications in Computer and Information Science 771, Springer 2017, ISBN 978-981-10-7298-7 [contents] - [e2]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II. Communications in Computer and Information Science 772, Springer 2017, ISBN 978-981-10-7301-4 [contents] - [e1]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III. Communications in Computer and Information Science 773, Springer 2017, ISBN 978-981-10-7304-5 [contents]
Informal and Other Publications
- 2023
- [i31]Shengqin Jiang, Bowen Li, Fengna Cheng, Qingshan Liu:
Crowd Counting with Online Knowledge Learning. CoRR abs/2303.10318 (2023) - [i30]Shengqin Jiang, Yaoyu Fang, Haokui Zhang, Peng Wang, Yuankai Qi, Qingshan Liu:
Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning. CoRR abs/2306.00393 (2023) - 2022
- [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
- [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
- [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) - 2019
- [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 (2019) - 2018
- [i17]Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang:
Fast and Robust Subspace Clustering Using Random Projections. CoRR abs/1803.11305 (2018) - [i16]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR abs/1805.02313 (2018) - 2017
- [i15]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. CoRR abs/1703.00119 (2017) - [i14]Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan:
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. CoRR abs/1703.07910 (2017) - 2016
- [i13]Yubao Sun, Renlong Hang, Qingshan Liu, Fuping Zhu, Hucheng Pei:
Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval. CoRR abs/1602.06818 (2016) - [i12]Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao:
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification. CoRR abs/1603.01096 (2016) - [i11]Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang:
A Self-Paced Regularization Framework for Multi-Label Learning. CoRR abs/1603.06708 (2016) - [i10]Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. CoRR abs/1604.01474 (2016) - [i9]Kaihua Zhang, Qingshan Liu, Ming-Hsuan Yang:
Visual Tracking via Boolean Map Representations. CoRR abs/1610.09652 (2016) - [i8]Qingshan Liu, Renlong Hang, Huihui Song, Fuping Zhu, Javier Plaza, Antonio Plaza:
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification. CoRR abs/1611.03589 (2016) - [i7]Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li:
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification. CoRR abs/1611.03591 (2016) - [i6]Kaihua Zhang, Xuejun Li, Qingshan Liu:
Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning. CoRR abs/1612.08169 (2016) - 2015
- [i5]Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang:
Robust Tracking via Convolutional Networks without Learning. CoRR abs/1501.04505 (2015) - [i4]Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha:
Active Sample Learning and Feature Selection: A Unified Approach. CoRR abs/1503.01239 (2015) - [i3]Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu:
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection. CoRR abs/1504.05451 (2015) - 2014
- [i2]Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang:
Max-Margin based Discriminative Feature Learning. CoRR abs/1412.4863 (2014) - [i1]Changsheng Li, Weishan Dong, Qingshan Liu, Xin Zhang:
MORES: Online Incremental Multiple-Output Regression for Data Streams. CoRR abs/1412.5732 (2014)
Coauthor Index
[j168] [j167] [j166] [j165] [j158] [j156] [j151] [j147] [j137] [j136] [j135] [j133] [j132] [j122] [j121] [j120] [j116] [j99] [j98] [j93] [j91] [j86] [j85] [j84] [j79] [j73] [j72] [j71] [j69] [j68] [j61] [j60] [j59] [j58] [j56] [j46] [c123] [c109] [c100] [c98] [c95] [i25] [i22] [i19] [i14] [i13] [i8] [i7]
[j40] [j36] [j32] [j30] [j22] [j14] [j12] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c82] [c80] [c78] [c77] [c76] [c64] [c63] [c58] [c57] [c56] [c55] [c54] [c51] [c48] [c45] [c44] [c43] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c10] [c9] [c8] [c7] [c5] [c4] [c3] [c2] [c1]
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aka: Xiaotong Yuan
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