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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
- 2024
[j184]Furong Ma, Guiyu Xia, Qingshan Liu:
3D human model guided pose transfer via progressive flow prediction network. J. Vis. Commun. Image Represent. 105: 104327 (2024)- [j183]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) - [j182]Zefeng Pan, Fanfan Ji, Yunlong Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan:
Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j181]You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu, Qingshan Liu:
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8727-8742 (2024) - [j180]Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu, Xiao-Tong Yuan:
Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7608-7620 (2024) - [j179]Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu:
A Unified Object Counting Network With Object Occupation Prior. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1147-1158 (2024) - [j178]Guiyu Xia, Wenkai Ye, Peng Xue, Yubao Sun, Qingshan Liu:
Motion Compression Using Structurally Connected Neural Network. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4299-4310 (2024) - [j177]Renlong Hang, Siqi Xu, Qingshan Liu:
A Regionally Indicated Visual Grounding Network for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j176]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) - [j175]Guangyu Liu, Renlong Hang, Rui Zhang, Chunxiang Shi, Qingshan Liu:
A Closed-Loop Circular Regression Network for 2-m Air Temperature Downscaling Over Southwestern China. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j174]Zefeng Pan, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan:
A Short-Long Term Sequence Learning Network for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j173]Luhui Yue, Rui Zhang, Jiamu Ding, Qingshan Liu:
Real-Time Statistical Weather Estimation and Prediction for Tropical Cyclone Intensity in an Interpretable Manner via Causal Inference. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j172]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) - [j171]Rui Zhang, Lei Zhou, Luhui Yue, Qingshan Liu:
Predicting Tropical Cyclone Rapid Intensification in Western North Pacific Basin Using a TDA-RI Model From Digital Typhoon Dataset. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j170]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) - [j169]Yubao Sun, Jihui Tang, Qingshan Liu, Zhendong Zhang, Liang Huang:
Highway Visibility Level Prediction Using Geometric and Visual Features Driven Dual-Branch Fusion Network. IEEE Trans. Intell. Transp. Syst. 25(8): 9992-10004 (2024) - [j168]Shengqin Jiang, Jialu Cai, Haokui Zhang, Yu Liu, Qingshan Liu:
Compare and Focus: Multi-Scale View Aggregation for Crowd Counting. IEEE Trans. Intell. Transp. Syst. 25(10): 13231-13239 (2024) - [j167]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) - [j166]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) - [j165]Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu, Yubao Sun:
A Deep Learning Framework for Start-End Frame Pair-Driven Motion Synthesis. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7021-7034 (2024) - [c127]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 - [c126]Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu:
4D Contrastive Superflows are Dense 3D Representation Learners. ECCV (1) 2024: 58-80 - [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] - [i35]Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang:
Cooperative Sentiment Agents for Multimodal Sentiment Analysis. CoRR abs/2404.12642 (2024) - [i34]Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu:
4D Contrastive Superflows are Dense 3D Representation Learners. CoRR abs/2407.06190 (2024) - [i33]You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu, Qingshan Liu:
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation. CoRR abs/2407.09524 (2024) - 2023
- [j164]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) - [j163]Furong Ma, Guiyu Xia, Qingshan Liu:
Human pose transfer via shape-aware partial flow prediction network. Multim. Syst. 29(4): 2059-2072 (2023) - [j162]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) - [j161]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) - [j160]Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu:
Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection. Pattern Recognit. 139: 109514 (2023) - [j159]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) - [j158]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) - [j157]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) - [j156]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) - [j155]Guiyu Xia, Furong Ma, Qingshan Liu, Du Zhang:
Pose-Driven Realistic 2-D Motion Synthesis. IEEE Trans. Cybern. 53(4): 2412-2425 (2023) - [j154]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) - [j153]Hui Shuai, Qingshan Liu:
Geometry-Injected Image-Based Point Cloud Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j152]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) - [j151]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) - [j150]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) - [j149]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) - [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 - [i32]Shengqin Jiang, Bowen Li, Fengna Cheng, Qingshan Liu:
Crowd Counting with Online Knowledge Learning. CoRR abs/2303.10318 (2023) - [i31]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) - [i30]Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu:
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. CoRR abs/2312.04484 (2023) - 2022
- [j148]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) - [j147]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) - [j146]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) - [j145]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) - [j144]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) - [j143]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) - [j142]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) - [j141]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) - [j140]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) - [j139]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) - [j138]Feng Zhou, Renlong Hang, Hui Shuai, Qingshan Liu:
Hierarchical Context Network for Airborne Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j137]Renlong Hang, Xuwei Qian, Qingshan Liu:
Cross-Modality Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j136]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) - [j135]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) - [j134]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) - [j133]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) - [j132]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) - [j131]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) - [j130]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
- [j129]Qi Zhao, Guangcan Liu, Qingshan Liu:
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing 463: 554-565 (2021) - [j128]Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu:
Likelihood-constrained coupled space learning for motion synthesis. Inf. Sci. 579: 72-88 (2021) - [j127]Luhui Yue, Junxia Li, Qingshan Liu:
Body parts relevance learning via expectation-maximization for human pose estimation. Multim. Syst. 27(5): 927-939 (2021) - [j126]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) - [j125]Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video saliency prediction using enhanced spatiotemporal alignment network. Pattern Recognit. 109: 107615 (2021) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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]