Qingshan Liu

415 papers A* 37A 14B 15C 1Misc 4Journal 261Unranked 59
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive frequency collaboration for remote sensing change detection.
Neural Networks
Feng Zhou, Xinyu Zhang, Hui Shuai, Qingshan Liu, Renlong Hang
2026 J jnl
Adversarial Pruning Networks for Compact 3D Gaussian Splatting.
IEEE Trans. Multim.
Hui Shuai, Yucheng Shi, Yubao Sun, Qingshan Liu
2026 J jnl
Attacks in Adversarial Machine Learning: A Systematic Survey from the Lifecycle Perspective.
Int. J. Comput. Vis.
Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu
2026 J jnl
Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Baoyuan Wu, Mingli Zhu, Meixi Zheng, Zihao Zhu, Shaokui Wei, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
2026 J jnl
Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu
2026 J jnl
FauForensics: Boosting Audio-Visual Deepfake Detection With Facial Action Units.
IEEE Trans. Inf. Forensics Secur.
Jian Wang, Baoyuan Wu, Li Liu, Qingshan Liu
2026 J jnl
Identification of Genetic Risk Factors Based on Disease Progression Derived From Modeling Longitudinal Phenotype Latent Pattern Representation.
IEEE Trans. Medical Imaging
Meiling Wang, Wei Shao, Daoqiang Zhang, Qingshan Liu
2026 J jnl
Mitigating Symptom Heterogeneity in Multimodal Depression Estimation via Level Separation and Deviation Regression.
IEEE Trans. Affect. Comput.
Chengguang Liu, Shanmin Wang, Qingshan Liu, Yang Wang, Fei Wang
2026 J jnl
More realistic and accurate precipitation nowcasting with Conditional Rectified Flow Transformers.
Eng. Appl. Artif. Intell.
Yunlong Zhou, Chen Zhao, Fanfan Ji, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
2026 J jnl
Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis.
Int. J. Comput. Vis.
Wenhao Tang, Sheng Huang, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu
2026 J jnl
Sparse-view CT image reconstruction using conditional embedding fusion diffusion model.
Neurocomputing
Chenchun Zhou, Yubao Sun, Jing Liang, Jia Liu, Qingshan Liu
2026 J jnl
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-Based Video Incremental Learning.
Int. J. Comput. Vis.
Shengqin Jiang, Yaoyu Fang, Haokui Zhang, Qingshan Liu, Yuankai Qi, Yang Yang, Peng Wang
2026 J jnl
Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning.
CoRR
Shengqin Jiang, Xiaoran Feng, Yuankai Qi, Haokui Zhang, Renlong Hang, Qingshan Liu, Lina Yao, Quan Z. Sheng, Ming-Hsuan Yang
2025 J jnl
An Empirical Study on Data Augmentation for Pixelwise Satellite Image Time-Series Classification and Cross-Year Adaptation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuan Yuan, Lei Lin, Qi Xin, Zengguang Zhou, Qingshan Liu
2025 J jnl
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations.
CoRR
Xiang Xu, Lingdong Kong, Song Wang, Chuanwei Zhou, Qingshan Liu
2025 — ed.
Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part I
CCBR (1)
Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu
2025 — ed.
Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part II
CCBR (2)
Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu
2025 J jnl
Cell-Wise Self-Optimization: Making Pretrained Model Better in Remote Sensing Counting.
IEEE Trans. Geosci. Remote. Sens.
Shengqin Jiang, Qian Jie, Fengna Cheng, Haokui Zhang, Yu Liu, Qingshan Liu
2025 J jnl
Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals.
CoRR
Huan Ni, Qingshan Liu, Xiaonan Niu, Danfeng Hong, Lingli Zhao, Haiyan Guan
2025 J jnl
Deep Ring-Wise Block Network for Joint Association Analysis and Alzheimer's Disease Diagnosis With Interpretability.
IEEE Trans. Comput. Biol. Bioinform.
Meiling Wang, Wei Shao, Daoqiang Zhang, Qingshan Liu
2025 J jnl
DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection.
CoRR
Kangran Zhao, Yupeng Chen, Xiaoyu Zhang, Yize Chen, Weinan Guan, Baicheng Chen, Chengzhe Sun, Soumyya Kanti Datta, Qingshan Liu, Siwei Lyu, Baoyuan Wu
2025 J jnl
DuPt: Rehearsal-based continual learning with dual prompts.
Neural Networks
Shengqin Jiang, Daolong Zhang, Fengna Cheng, Xiaobo Lu, Qingshan Liu
2025 J jnl
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.
IEEE Trans. Image Process.
Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu
2025 J jnl
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units.
CoRR
Jian Wang, Baoyuan Wu, Li Liu, Qingshan Liu
2025 J jnl
Input-Regulated Remote Sensing Counting With Region Understanding.
IEEE Trans. Geosci. Remote. Sens.
Shengqin Jiang, Haojian Long, Fengna Cheng, Yuankai Qi, Xiaobo Lu, Qingshan Liu
2025 J jnl
Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan
2025 A* conf
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes.
CVPR
Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu
2025 J jnl
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes.
CoRR
Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu
2025 J jnl
Multi-Granularity Aggregation Network for Remote Sensing Few-Shot Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Shi-Feng Peng, Guo-Sen Xie, Fang Zhao, Xiangbo Shu, Qingshan Liu
2025 J jnl
Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis.
CoRR
Wenhao Tang, Sheng Huang, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu
2025 J jnl
ProgRoCC: A Progressive Approach to Rough Crowd Counting.
CoRR
Shengqin Jiang, Linfei Li, Haokui Zhang, Qingshan Liu, Amin Beheshti, Jian Yang, Anton van den Hengel, Quan Z. Sheng, Yuankai Qi
2025 J jnl
Remote Sensing Object Counting With Online Knowledge Learning.
IEEE Trans. Geosci. Remote. Sens.
Shengqin Jiang, Yuan Gao, Bowen Li, Fengna Cheng, Renlong Hang, Qingshan Liu
2025 J jnl
Riemannian manifold-based disentangled representation learning for multi-site functional connectivity analysis.
Neural Networks
Wenyang Li, Mingliang Wang, Mingxia Liu, Qingshan Liu
2025 J jnl
Self-Reflection Neural Network for Class-Incremental Object Counting.
IEEE Trans. Multim.
Shengqin Jiang, Linfei Li, Fengna Cheng, Yuankai Qi, Qingshan Liu
2025 J jnl
Spatial-Temporal Interleaved Network for Efficient Action Recognition.
IEEE Trans. Ind. Informatics
Shengqin Jiang, Haokui Zhang, Yuankai Qi, Qingshan Liu
2025 J jnl
SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data Pretraining.
CoRR
Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu
2025 J jnl
Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning.
CoRR
Shengqin Jiang, Tianqi Kong, Yuankai Qi, Haokui Zhang, Lina Yao, Quan Z. Sheng, Qingshan Liu, Ming-Hsuan Yang
2025 J jnl
Text-Augmented Semantic Feature Extraction and Difference Information Learning for Remote Sensing Image Change Captioning.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Jinyu Luo, Hui Lin, Qingshan Liu
2025 J jnl
Text-driven human image generation with texture and pose control.
Neurocomputing
Zhedong Jin, Guiyu Xia, Paike Yang, Mengxiang Wang, Yubao Sun, Qingshan Liu
2025 J jnl
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences.
CoRR
Xiang Xu, Ao Liang, Youquan Liu, Linfeng Li, Lingdong Kong, Ziwei Liu, Qingshan Liu
2025 J jnl
Unsupervised Cross-Domain Facial Expression Recognition via Class Adaptive Self-Training.
IEEE Trans. Affect. Comput.
Shanmin Wang, Qingshan Liu
2024 J jnl
3D human model guided pose transfer via progressive flow prediction network.
J. Vis. Commun. Image Represent.
Furong Ma, Guiyu Xia, Qingshan Liu
2024 — conf
4D Contrastive Superflows are Dense 3D Representation Learners.
ECCV (1)
Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu
2024 J jnl
4D Contrastive Superflows are Dense 3D Representation Learners.
CoRR
Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu
2024 J jnl
A Closed-Loop Circular Regression Network for 2-m Air Temperature Downscaling Over Southwestern China.
IEEE Trans. Geosci. Remote. Sens.
Guangyu Liu, Renlong Hang, Rui Zhang, Chunxiang Shi, Qingshan Liu
2024 J jnl
A Deep Learning Framework for Start-End Frame Pair-Driven Motion Synthesis.
IEEE Trans. Neural Networks Learn. Syst.
Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu, Yubao Sun
2024 J jnl
A Regionally Indicated Visual Grounding Network for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Siqi Xu, Qingshan Liu
2024 J jnl
A Short-Long Term Sequence Learning Network for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Zefeng Pan, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
2024 J jnl
A Unified Object Counting Network With Object Occupation Prior.
IEEE Trans. Circuits Syst. Video Technol.
Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu
2024 J jnl
AANet: An Ambiguity-Aware Network for Remote-Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Siqi Xu, Panli Yuan, Qingshan Liu
2024 J jnl
Adaptive Activation Network for Weakly Supervised Semantic Segmentation.
IEEE Trans. Multim.
Junxia Li, Deshuo Shi, Ying Cui, Dongyan Guo, Qingshan Liu
2024 J jnl
Compare and Focus: Multi-Scale View Aggregation for Crowd Counting.
IEEE Trans. Intell. Transp. Syst.
Shengqin Jiang, Jialu Cai, Haokui Zhang, Yu Liu, Qingshan Liu
2024 J jnl
Cooperative Sentiment Agents for Multimodal Sentiment Analysis.
CoRR
Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang
2024 J jnl
Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning.
IEEE Geosci. Remote. Sens. Lett.
Zefeng Pan, Fanfan Ji, Yunlong Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
2024 J jnl
DiFormer: A Difference Transformer Network for Remote Sensing Change Detection.
IEEE Geosci. Remote. Sens. Lett.
Hui Lin, Renlong Hang, Shanmin Wang, Qingshan Liu
2024 J jnl
Estimating Tropical Cyclone Intensity Using an STIA Model From Himawari-8 Satellite Images in the Western North Pacific Basin.
IEEE Trans. Geosci. Remote. Sens.
Rui Zhang, Yingjie Liu, Luhui Yue, Qingshan Liu, Renlong Hang
2024 J jnl
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation.
CoRR
You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu, Qingshan Liu
2024 J jnl
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu, Qingshan Liu
2024 J jnl
Highway Visibility Level Prediction Using Geometric and Visual Features Driven Dual-Branch Fusion Network.
IEEE Trans. Intell. Transp. Syst.
Yubao Sun, Jihui Tang, Qingshan Liu, Zhendong Zhang, Liang Huang
2024 J jnl
Masked Spectral-Spatial Feature Prediction for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Feng Zhou, Chao Xu, Guowei Yang, Renlong Hang, Qingshan Liu
2024 J jnl
Motion Compression Using Structurally Connected Neural Network.
IEEE Trans. Circuits Syst. Video Technol.
Guiyu Xia, Wenkai Ye, Peng Xue, Yubao Sun, Qingshan Liu
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I
PRCV (1)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II
PRCV (2)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III
PRCV (3)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV
PRCV (4)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX
PRCV (9)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V
PRCV (5)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI
PRCV (6)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII
PRCV (7)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII
PRCV (8)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X
PRCV (10)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI
PRCV (11)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII
PRCV (12)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 — ed.
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII
PRCV (13)
Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
2024 A* conf
PointAttN: You Only Need Attention for Point Cloud Completion.
AAAI
Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen
2024 J jnl
Predicting Tropical Cyclone Rapid Intensification in Western North Pacific Basin Using a TDA-RI Model From Digital Typhoon Dataset.
IEEE Trans. Geosci. Remote. Sens.
Rui Zhang, Lei Zhou, Luhui Yue, Qingshan Liu
2024 J jnl
Real-Time Statistical Weather Estimation and Prediction for Tropical Cyclone Intensity in an Interpretable Manner via Causal Inference.
IEEE Trans. Geosci. Remote. Sens.
Luhui Yue, Rui Zhang, Jiamu Ding, Qingshan Liu
2024 J jnl
Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data.
IEEE Trans. Multim.
Fanfan Ji, Xiao-Tong Yuan, Qingshan Liu
2024 J jnl
Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu, Xiao-Tong Yuan
2024 A* conf
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection.
CVPR
Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu
2023 J jnl
3D Information Guided Motion Transfer via Sequential Image Based Human Model Refinement and Face-Attention GAN.
IEEE Trans. Circuits Syst. Video Technol.
Guiyu Xia, Dong Luo, Zeyuan Zhang, Yubao Sun, Qingshan Liu
2023 — conf
ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition.
ICIG (4)
Chengguang Liu, Shanmin Wang, Hui Shuai, Qingshan Liu
2023 J jnl
Adaptive Multi-View and Temporal Fusing Transformer for 3D Human Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Hui Shuai, Lele Wu, Qingshan Liu
2023 J jnl
Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example.
CoRR
Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu
2023 J jnl
Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection.
Pattern Recognit.
Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu
2023 J jnl
Bias-Based Soft Label Learning for Facial Expression Recognition.
IEEE Trans. Affect. Comput.
Shanmin Wang, Hui Shuai, Chengguang Liu, Qingshan Liu
2023 J jnl
Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Huan Ni, Qingshan Liu, Haiyan Guan, Hong Tang, Jocelyn Chanussot
2023 J jnl
Crowd Counting with Online Knowledge Learning.
CoRR
Shengqin Jiang, Bowen Li, Fengna Cheng, Qingshan Liu
2023 J jnl
Deep Object Co-Segmentation and Co-Saliency Detection via High-Order Spatial-Semantic Network Modulation.
IEEE Trans. Multim.
Kaihua Zhang, Yang Wu, Mingliang Dong, Bo Liu, Dong Liu, Qingshan Liu
2023 J jnl
Defenses in Adversarial Machine Learning: A Survey.
CoRR
Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
2023 J jnl
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.
CoRR
Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu
2023 J jnl
Geometry-Injected Image-Based Point Cloud Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Hui Shuai, Qingshan Liu
2023 J jnl
Human pose transfer via shape-aware partial flow prediction network.
Multim. Syst.
Furong Ma, Guiyu Xia, Qingshan Liu
2023 J jnl
Intellectual property protection for deep semantic segmentation models.
Frontiers Comput. Sci.
Hongjia Ruan, Huihui Song, Bo Liu, Yong Cheng, Qingshan Liu
2023 J jnl
Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Junxia Li, Ziyang Wang, Zefeng Pan, Qingshan Liu, Dongyan Guo
2023 J jnl
MSNet: Multi-Resolution Synergistic Networks for Adaptive Inference.
IEEE Trans. Circuits Syst. Video Technol.
Renlong Hang, Xuwei Qian, Qingshan Liu
2023 J jnl
Mining Joint Intraimage and Interimage Context for Remote Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Feng Zhou, Chao Xu, Renlong Hang, Rui Zhang, Qingshan Liu
2023 J jnl
Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition.
IEEE Trans. Image Process.
Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu
2023 J jnl
Optimization-Based Post-Training Quantization With Bit-Split and Stitching.
IEEE Trans. Pattern Anal. Mach. Intell.
Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng
2023 J jnl
Pose-Driven Realistic 2-D Motion Synthesis.
IEEE Trans. Cybern.
Guiyu Xia, Furong Ma, Qingshan Liu, Du Zhang
2023 J jnl
Statistical Downscaling of Temperature Distributions in Southwest China by Using Terrain-Guided Attention Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Guangyu Liu, Rui Zhang, Renlong Hang, Lingling Ge, Chunxiang Shi, Qingshan Liu
2023 J jnl
Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning.
CoRR
Shengqin Jiang, Yaoyu Fang, Haokui Zhang, Peng Wang, Yuankai Qi, Qingshan Liu
2023 A* conf
Temporally Efficient Gabor Transformer for Unsupervised Video Object Segmentation.
ACM Multimedia
Jiaqing Fan, Tiankang Su, Kaihua Zhang, Bo Liu, Qingshan Liu
2023 J jnl
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection.
CoRR
Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu
2023 A* conf
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning.
ICCV
Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu
2022 J jnl
A Unified Object Counting Network with Object Occupation Prior.
CoRR
Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu
2022 A* conf
Bidirectionally Learning Dense Spatio-temporal Feature Propagation Network for Unsupervised Video Object Segmentation.
ACM Multimedia
Jiaqing Fan, Tiankang Su, Kaihua Zhang, Qingshan Liu
2022 J jnl
CED-Net: contextual encoder-decoder network for 3D face reconstruction.
Multim. Syst.
Lei Zhu, Shanmin Wang, Zengqun Zhao, Xiang Xu, Qingshan Liu
2022 J jnl
Complementarity-Aware Attention Network for Salient Object Detection.
IEEE Trans. Cybern.
Junxia Li, Zefeng Pan, Qingshan Liu, Ying Cui, Yubao Sun
2022 J jnl
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI.
Medical Image Anal.
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
2022 J jnl
Cross-Modality Contrastive Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Xuwei Qian, Qingshan Liu
2022 J jnl
Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data.
IEEE Trans. Geosci. Remote. Sens.
Mei Xue, Renlong Hang, Xiao-Tong Yuan, Pengfei Xiao, Qingshan Liu
2022 J jnl
Hierarchical Context Network for Airborne Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Feng Zhou, Renlong Hang, Hui Shuai, Qingshan Liu
2022 J jnl
Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network.
IEEE Trans. Multim.
Tengpeng Li, Kaihua Zhang, Shiwen Shen, Bo Liu, Qingshan Liu, Zhu Li
2022 J jnl
Keyframe-Editable Real-Time Motion Synthesis.
IEEE Trans. Circuits Syst. Video Technol.
Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu
2022 J jnl
Learning interlaced sparse Sinkhorn matching network for video super-resolution.
Pattern Recognit.
Huihui Song, Yutong Jin, Yong Cheng, Bo Liu, Dong Liu, Qingshan Liu
2022 J jnl
Limb Pose Aware Networks for Monocular 3D Pose Estimation.
IEEE Trans. Image Process.
Lele Wu, Zhenbo Yu, Yijiang Liu, Qingshan Liu
2022 J jnl
Local Self-Expression Subspace Learning Network for Motion Capture Data.
IEEE Trans. Image Process.
Guiyu Xia, Peng Xue, Huaijiang Sun, Yubao Sun, Du Zhang, Qingshan Liu
2022 J jnl
Multiscale Progressive Segmentation Network for High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Ping Yang, Feng Zhou, Qingshan Liu
2022 — ed.
Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part I
ACPR (1)
Christian Wallraven, Qingshan Liu, Hajime Nagahara
2022 — ed.
Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II
ACPR (2)
Christian Wallraven, Qingshan Liu, Hajime Nagahara
2022 J jnl
Phase Space Reconstruction Driven Spatio-Temporal Feature Learning for Dynamic Facial Expression Recognition.
IEEE Trans. Affect. Comput.
Shanmin Wang, Hui Shuai, Qingshan Liu
2022 J jnl
PointAttN: You Only Need Attention for Point Cloud Completion.
CoRR
Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen
2022 J jnl
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.
Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu
2022 A* conf
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification.
AAAI
Xuwei Qian, Renlong Hang, Qingshan Liu
2022 J jnl
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification.
Int. J. Appl. Earth Obs. Geoinformation
Yuan Yuan, Lei Lin, Qingshan Liu, Renlong Hang, Zengguang Zhou
2022 J jnl
Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu
2022 J jnl
Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Correspondence.
IEEE Trans. Circuits Syst. Video Technol.
Jiaqing Fan, Bo Liu, Kaihua Zhang, Qingshan Liu
2022 J jnl
Spatial Consistency Constrained GAN for Human Motion Transfer.
IEEE Trans. Circuits Syst. Video Technol.
Furong Ma, Guiyu Xia, Qingshan Liu
2022 B conf
Transformer-based Residual Network for Hyperspectral Snapshot Compressive Reconstruction.
ICPR
Junru Huang, Yubao Sun, Jiaxuan Wen, Qingshan Liu
2022 J jnl
Unsupervised Spatial-Spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction.
IEEE Trans. Geosci. Remote. Sens.
Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli
2022 J jnl
Video Snapshot Compressive Imaging Using Residual Ensemble Network.
IEEE Trans. Circuits Syst. Video Technol.
Yubao Sun, Xunhao Chen, Mohan S. Kankanhalli, Qingshan Liu, Junxia Li
2022 — conf
Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation.
PRCV (3)
Hui Shuai, Xiang Xu, Qingshan Liu
2021 J jnl
3D Tensor Auto-encoder with Application to Video Compression.
ACM Trans. Multim. Comput. Commun. Appl.
Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen
2021 J jnl
Adaptively Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation.
CoRR
Hui Shuai, Lele Wu, Qingshan Liu
2021 J jnl
Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation.
IEEE Trans. Image Process.
Hui Shuai, Xiang Xu, Qingshan Liu
2021 J jnl
Body parts relevance learning via expectation-maximization for human pose estimation.
Multim. Syst.
Luhui Yue, Junxia Li, Qingshan Liu
2021 — conf
Causal Intervention Learning for Multi-person Pose Estimation.
ACPR (1)
Luhui Yue, Junxia Li, Qingshan Liu
2021 J jnl
Class-Guided Feature Decoupling Network for Airborne Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Feng Zhou, Renlong Hang, Qingshan Liu
2021 J jnl
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Feng Zhou, Qingshan Liu, Pedram Ghamisi
2021 J jnl
Collaborative Local-Global Learning for Temporal Action Proposal.
ACM Trans. Intell. Syst. Technol.
Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu
2021 A* conf
Deep Transport Network for Unsupervised Video Object Segmentation.
ICCV
Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu
2021 A* conf
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance.
CVPR
Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
2021 J jnl
Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol.
Jiaqing Fan, Huihui Song, Kaihua Zhang, Kang Yang, Qingshan Liu
2021 A* conf
Former-DFER: Dynamic Facial Expression Recognition Transformer.
ACM Multimedia
Zengqun Zhao, Qingshan Liu
2021 J jnl
Hyperspectral Image Classification With Attention-Aided CNNs.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya
2021 J jnl
Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild.
IEEE Trans. Image Process.
Zengqun Zhao, Qingshan Liu, Shanmin Wang
2021 J jnl
Likelihood-constrained coupled space learning for motion synthesis.
Inf. Sci.
Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu
2021 J jnl
Matrix Completion with Deterministic Sampling: Theories and Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
2021 J jnl
Multi-Stage Feature Fusion Network for Video Super-Resolution.
IEEE Trans. Image Process.
Huihui Song, Wenjie Xu, Dong Liu, Bo Liu, Qingshan Liu, Dimitris N. Metaxas
2021 J jnl
Nonconvex Low-Rank Kernel Sparse Subspace Learning for Keyframe Extraction and Motion Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Guiyu Xia, Beijia Chen, Huaijiang Sun, Qingshan Liu
2021 J jnl
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations.
ACM Trans. Intell. Syst. Technol.
Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen
2021 A* conf
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training.
AAAI
Zengqun Zhao, Qingshan Liu, Feng Zhou
2021 J jnl
Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery.
IEEE Trans. Image Process.
Renlong Hang, Qingshan Liu, Zhu Li
2021 J jnl
Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection.
IEEE Trans. Multim.
Junxia Li, Zefeng Pan, Qingshan Liu, Ziyang Wang
2021 J jnl
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor.
Neurocomputing
Qi Zhao, Guangcan Liu, Qingshan Liu
2021 J jnl
Unsupervised Network Quantization via Fixed-Point Factorization.
IEEE Trans. Neural Networks Learn. Syst.
Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng
2021 J jnl
Video saliency prediction using enhanced spatiotemporal alignment network.
Pattern Recognit.
Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu
2020 A* conf
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection.
CVPR
Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu
2020 J jnl
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection.
CoRR
Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu
2020 J jnl
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs.
CoRR
Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu
2020 J jnl
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu
2020 A* conf
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation.
AAAI
Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu
2020 J jnl
Dual Iterative Hard Thresholding.
J. Mach. Learn. Res.
Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
2020 A* conf
Dual Temporal Memory Network for Efficient Video Object Segmentation.
ACM Multimedia
Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li
2020 J jnl
Dual Temporal Memory Network for Efficient Video Object Segmentation.
CoRR
Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li
2020 J jnl
Dual-Path Attention Network for Compressed Sensing Image Reconstruction.
IEEE Trans. Image Process.
Yubao Sun, Jiwei Chen, Qingshan Liu, Bo Liu, Guodong Guo
2020 J jnl
Flow driven attention network for video salient object detection.
IET Image Process.
Feng Zhou, Hui Shuai, Qingshan Liu, Guodong Guo
2020 J jnl
Hierarchical attentive Siamese network for real-time visual tracking.
Neural Comput. Appl.
Kang Yang, Huihui Song, Kaihua Zhang, Qingshan Liu
2020 J jnl
Hyperspectral Image Classification with Attention Aided CNNs.
CoRR
Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya
2020 — conf
Learning Memory Augmented Cascading Network for Compressed Sensing of Images.
ECCV (22)
Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang
2020 J jnl
Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting.
IEEE Trans. Multim.
Yubao Sun, Ying Yang, Qingshan Liu, Jiwei Chen, Xiao-Tong Yuan, Guodong Guo
2020 J jnl
Learning image compressed sensing with sub-pixel convolutional generative adversarial network.
Pattern Recognit.
Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu
2020 J jnl
Learning lightweight Multi-Scale Feedback Residual network for single image super-resolution.
Comput. Vis. Image Underst.
Wenjie Xu, Huihui Song, Kaihua Zhang, Qingshan Liu, Jia Liu
2020 J jnl
Learning residual refinement network with semantic context representation for real-time saliency object detection.
Pattern Recognit.
Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu
2020 J jnl
Meta-Learning with Network Pruning.
CoRR
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
2020 — conf
Meta-learning with Network Pruning.
ECCV (19)
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
2020 — ed.
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II
PRCV (2)
Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang
2020 — ed.
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III
PRCV (3)
Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang
2020 — ed.
Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I.
PRCV (1)
Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang
2020 A conf
Prinet: A Prior Driven Spectral Super-Resolution Network.
ICME
Renlong Hang, Zhu Li, Qingshan Liu, Shuvra S. Bhattacharyya
2020 — conf
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.
ECCV (3)
Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng
2020 J jnl
Real-time manifold regularized context-aware correlation tracking.
Frontiers Comput. Sci.
Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu, Fei Yan, Wei Lian
2020 J jnl
Recurrent reverse attention guided residual learning for saliency object detection.
Neurocomputing
Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu
2020 J jnl
Selecting Optimal Completion to Partial Matrix via Self-Validation.
IEEE Signal Process. Lett.
Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu
2020 J jnl
Single image super-resolution with enhanced Laplacian pyramid network via conditional generative adversarial learning.
Neurocomputing
Xiaolu Zhang, Huihui Song, Kaihua Zhang, Jiaojiao Qiao, Qingshan Liu
2020 — conf
Top-Down Fusing Multi-level Contextual Features for Salient Object Detection.
PRCV (3)
Mingyuan Pan, Huihui Song, Junxia Li, Kaihua Zhang, Qingshan Liu
2020 J jnl
Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images.
IEEE Trans. Geosci. Remote. Sens.
Rui Zhang, Qingshan Liu, Renlong Hang
2020 J jnl
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction.
CoRR
Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli
2020 J jnl
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network.
CoRR
Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu
2019 J jnl
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification.
CoRR
Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi
2019 J jnl
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi
2019 A* conf
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing.
CVPR
Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu
2019 J jnl
Deep Object Co-segmentation via Spatial-Semantic Network Modulation.
CoRR
Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu
2019 A conf
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning.
AISTATS
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas
2019 J jnl
Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Qingshan Liu, Xin Zhang
2019 J jnl
Hyperspectral image classification using spectral-spatial LSTMs.
Neurocomputing
Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2019 J jnl
Image super-resolution using conditional generative adversarial network.
IET Image Process.
Jiaojiao Qiao, Huihui Song, Kaihua Zhang, Xiaolu Zhang, Qingshan Liu
2019 J jnl
Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell.
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2019 J jnl
Learning-Based Sphere Nonlinear Interpolation for Motion Synthesis.
IEEE Trans. Ind. Informatics
Guiyu Xia, Huaijiang Sun, Qingshan Liu, Renlong Hang
2019 — conf
Local Context Embedding Neural Network for Scene Semantic Segmentation.
PRCV (2)
Junxia Li, Lingzheng Dai, Yu Ding, Qingshan Liu
2019 J jnl
Low-rank weighted co-saliency detection via efficient manifold ranking.
Multim. Tools Appl.
Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu, Wei Lian
2019 J jnl
Moving object detection via segmentation and saliency constrained RPCA.
Neurocomputing
Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen
2019 J jnl
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering.
Signal Process.
Peixian Zhuang, Qingshan Liu, Xinghao Ding
2019 J jnl
Parallel Attentive Correlation Tracking.
IEEE Trans. Image Process.
Kaihua Zhang, Jiaqing Fan, Qingshan Liu, Jian Yang, Wei Lian
2019 — conf
PointNet-Based Channel Attention VLAD Network.
PRCV (3)
Rongrong Fan, Hui Shuai, Qingshan Liu
2019 J jnl
Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2019 J jnl
Retrieving Soil Moisture Over Continental U.S. via Multi-View Multi-Task Learning.
IEEE Geosci. Remote. Sens. Lett.
Lingling Ge, Renlong Hang, Qingshan Liu
2019 J jnl
Robust Subspace Clustering With Compressed Data.
IEEE Trans. Image Process.
Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong
2019 J jnl
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
Rongrong Fan, Jiaqing Fan, Qingshan Liu
2018 J jnl
A Self-Paced Regularization Framework for Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha
2018 J jnl
Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection.
IEEE Access
Hui Shuai, Qingshan Liu, Kaihua Zhang, Jing Yang, Jiankang Deng
2018 J jnl
Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations.
Remote. Sens.
Lingling Ge, Renlong Hang, Yi Liu, Qingshan Liu
2018 J jnl
Complementary Tracking via Dual Color Clustering and Spatio-Temporal Regularized Correlation Learning.
IEEE Access
Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu, Wei Lian
2018 J jnl
Dimensionality Reduction of Hyperspectral Image Using Spatial Regularized Local Graph Discriminant Embedding.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Renlong Hang, Qingshan Liu
2018 J jnl
Fast and Robust Subspace Clustering Using Random Projections.
CoRR
Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang
2018 J jnl
Fast subspace segmentation via Random Sample Probing.
Neurocomputing
Yang Li, Yubao Sun, Qingshan Liu, Shengyong Chen
2018 — conf
Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification.
PRCV (4)
Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2018 B conf
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment.
ICPR
Zhenni Cai, Qingshan Liu, Shanmin Wang, Bruce Yang
2018 J jnl
Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li
2018 J jnl
Matrix Completion with Nonuniform Sampling: Theories and Methods.
CoRR
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
2018 J jnl
Multi-component group sparse RPCA model for motion object detection under complex dynamic background.
Neurocomputing
Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu
2018 J jnl
Nonlinear Low-Rank Matrix Completion for Human Motion Recovery.
IEEE Trans. Image Process.
Guiyu Xia, Huaijiang Sun, Beijia Chen, Qingshan Liu, Lei Feng, Guoqing Zhang, Renlong Hang
2018 J jnl
Reversed Spectral Hashing.
IEEE Trans. Neural Networks Learn. Syst.
Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu
2018 J jnl
Saliency fusion via sparse and double low rank decomposition.
Pattern Recognit. Lett.
Junxia Li, Jian Yang, Chen Gong, Qingshan Liu
2018 J jnl
Spatio-temporal convolutional features with nested LSTM for facial expression recognition.
Neurocomputing
Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng
2018 J jnl
Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Huihui Song, Qingshan Liu, Guojie Wang, Renlong Hang, Bo Huang
2018 — conf
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results.
ECCV Workshops (5)
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
2018 J jnl
Visual Tracking via Nonlocal Similarity Learning.
IEEE Trans. Circuits Syst. Video Technol.
Qingshan Liu, Jiaqing Fan, Huihui Song, Wei Chen, Kaihua Zhang
2018 J jnl
Visual tracking using spatio-temporally nonlocally regularized correlation filter.
Pattern Recognit.
Kaihua Zhang, Xuejun Li, Huihui Song, Qingshan Liu, Wei Lian
2018 J jnl
Visual tracking via Boolean map representations.
Pattern Recognit.
Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang
2017 — conf
A New Theory for Matrix Completion.
NIPS
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
2017 J jnl
Adaptive Cascade Regression Model For Robust Face Alignment.
IEEE Trans. Image Process.
Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao
2017 J jnl
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.
IEEE Trans. Cybern.
Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu
2017 J jnl
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.
CoRR
Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan
2017 J jnl
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.
Remote. Sens.
Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan
2017 J jnl
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangcan Liu, Qingshan Liu, Ping Li
2017 — ed.
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I
CCCV (1)
Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017 — ed.
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II
CCCV (2)
Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017 — ed.
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III
CCCV (3)
Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017 — ch.
Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Jun Xu, Chao Zhou, Bing Lang, Qingshan Liu
2017 A* conf
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
ICML
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
2017 J jnl
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
CoRR
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
2017 J jnl
Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification.
IEEE Trans. Image Process.
Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao
2017 J jnl
Face image retrieval based on shape and texture feature fusion.
Comput. Vis. Media
Zongguang Lu, Jing Yang, Qingshan Liu
2017 J jnl
Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun, Fuping Zhu, Hucheng Pei
2017 J jnl
Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images.
Remote. Sens.
Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu
2017 — conf
Hyperspectral Image Classification Using Spectral-Spatial LSTMs.
CCCV (1)
Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2017 J jnl
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.
Huihui Song, Guojie Wang, Anjie Cao, Qingshan Liu, Bo Huang
2017 C conf
Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification.
IGARSS
Mercedes Eugenia Paoletti, Juan Mario Haut, Javier Plaza, Antonio Plaza, Qingshan Liu, Renlong Hang
2017 J jnl
Newton-Type Greedy Selection Methods for ℓ
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao-Tong Yuan, Qingshan Liu
2017 J jnl
Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition.
ACM Trans. Embed. Comput. Syst.
Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas
2017 J jnl
Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza, Antonio Plaza
2017 J jnl
Robust facial landmark tracking via cascade regression.
Pattern Recognit.
Qingshan Liu, Jing Yang, Jiankang Deng, Kaihua Zhang
2017 A* conf
Self-Paced Multi-Task Learning.
AAAI
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha
2017 J jnl
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.
Qingshan Liu, Yubao Sun, Renlong Hang, Huihui Song
2017 — conf
Stacked Hourglass Network for Robust Facial Landmark Localisation.
CVPR Workshops
Jing Yang, Qingshan Liu, Kaihua Zhang
2016 J jnl
A Deterministic Analysis for LRR.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan
2016 J jnl
A Self-Paced Regularization Framework for Multi-Label Learning.
CoRR
Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang
2016 J jnl
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification.
CoRR
Qingshan Liu, Renlong Hang, Huihui Song, Fuping Zhu, Javier Plaza, Antonio Plaza
2016 — conf
Advancing Iterative Quantization Hashing Using Isotropic Prior.
MMM (2)
Lai Li, Guangcan Liu, Qingshan Liu
2016 A* conf
Decentralized Robust Subspace Clustering.
AAAI
Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas
2016 J jnl
Dual Sparse Constrained Cascade Regression for Robust Face Alignment.
IEEE Trans. Image Process.
Qingshan Liu, Jiankang Deng, Dacheng Tao
2016 A* conf
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.
IJCAI
Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas
2016 J jnl
Efficient χ
IEEE Trans. Neural Networks Learn. Syst.
Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu
2016 J jnl
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification.
CoRR
Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao
2016 J jnl
FaceHunter: A multi-task convolutional neural network based face detector.
Signal Process. Image Commun.
Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu
2016 J jnl
Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval.
CoRR
Yubao Sun, Renlong Hang, Qingshan Liu, Fuping Zhu, Hucheng Pei
2016 — conf
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
NIPS
Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu
2016 J jnl
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification.
CoRR
Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li
2016 J jnl
M
Image Vis. Comput.
Jiankang Deng, Qingshan Liu, Jing Yang, Dacheng Tao
2016 J jnl
Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion.
IEEE Trans. Geosci. Remote. Sens.
Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun
2016 J jnl
Max-Margin-Based Discriminative Feature Learning.
IEEE Trans. Neural Networks Learn. Syst.
Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang
2016 J jnl
Robust Visual Tracking via Convolutional Networks Without Training.
IEEE Trans. Image Process.
Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang
2016 J jnl
Robust object tracking by online Fisher discrimination boosting feature selection.
Comput. Vis. Image Underst.
Jing Yang, Kaihua Zhang, Qingshan Liu
2016 J jnl
Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble.
Neurocomputing
Wei Chen, Kaihua Zhang, Qingshan Liu
2016 J jnl
Self-Paced Multi-Task Learning.
CoRR
Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha
2016 A* conf
Spatially Regularized Streaming Sensor Selection.
AAAI
Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang
2016 J jnl
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
IEEE Trans. Medical Imaging
Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi
2016 J jnl
Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning.
CoRR
Kaihua Zhang, Xuejun Li, Qingshan Liu
2016 J jnl
Visual Tracking via Boolean Map Representations.
CoRR
Kaihua Zhang, Qingshan Liu, Ming-Hsuan Yang
2015 J jnl
A Variational Approach to Simultaneous Image Segmentation and Bias Correction.
IEEE Trans. Cybern.
Kaihua Zhang, Qingshan Liu, Huihui Song, Xuelong Li
2015 J jnl
Active Sample Learning and Feature Selection: A Unified Approach.
CoRR
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2015 J jnl
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.
CoRR
Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu
2015 A* conf
Additive Nearest Neighbor Feature Maps.
ICCV
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan
2015 — conf
Convolutional Neural Networks for Clothes Categories.
CCCV (2)
Zhi Li, Yubao Sun, Feng Wang, Qingshan Liu
2015 J jnl
Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network.
Int. J. Syst. Sci.
Liguo Weng, Min Xia, Wei Wang, Qingshan Liu
2015 — conf
Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression.
ICCV Workshops
Jing Yang, Jiankang Deng, Kaihua Zhang, Qingshan Liu
2015 — conf
Hierarchical Convolutional Neural Network for Face Detection.
ICIG (2)
Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu
2015 J jnl
How friends affect user behaviors? An exploration of social relation analysis for recommendation.
Knowl. Based Syst.
Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu
2015 J jnl
Human Age Estimation Based on Locality and Ordinal Information.
IEEE Trans. Cybern.
Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu
2015 J jnl
Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution.
IEEE Trans. Geosci. Remote. Sens.
Huihui Song, Bo Huang, Qingshan Liu, Kaihua Zhang
2015 J jnl
Inferring occluded features for fast object detection.
Signal Process.
Shengye Yan, Qingshan Liu
2015 J jnl
Learning Multiscale Active Facial Patches for Expression Analysis.
IEEE Trans. Cybern.
Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N. Metaxas
2015 J jnl
Low rank driven robust facial landmark regression.
Neurocomputing
Jiankang Deng, Yubao Sun, Qingshan Liu, Hanqing Lu
2015 J jnl
Ordinal Distance Metric Learning for Image Ranking.
IEEE Trans. Neural Networks Learn. Syst.
Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu
2015 J jnl
Robust Tracking via Convolutional Networks without Learning.
CoRR
Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang
2015 J jnl
Sparse random projection for χ
Neurocomputing
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu
2015 J jnl
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
Jiankang Deng, Jing Yang, Yubao Sun, Qingshan Liu
2014 B conf
Discriminative Context Models for Collective Activity Recognition.
ICPR
Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai, Qingshan Liu, Hanqing Lu
2014 — conf
Fast Visual Tracking via Dense Spatio-temporal Context Learning.
ECCV (5)
Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang
2014 J jnl
Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination.
Neurocomputing
Liguo Weng, Qingshan Liu, Min Xia, Yongduan Song
2014 J jnl
Learning Discriminative Dictionary for Group Sparse Representation.
IEEE Trans. Image Process.
Yubao Sun, Qingshan Liu, Jinhui Tang, Dacheng Tao
2014 J jnl
Learning the object location, scale and view for image categorization with adapted classifier.
Inf. Sci.
Shengye Yan, Xinxing Xu, Qingshan Liu
2014 J jnl
MORES: Online Incremental Multiple-Output Regression for Data Streams.
CoRR
Changsheng Li, Weishan Dong, Qingshan Liu, Xin Zhang
2014 J jnl
Max-Margin based Discriminative Feature Learning.
CoRR
Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang
2014 B conf
Multiple-Output Regression with High-Order Structure Information.
ICPR
Changsheng Li, Lin Yang, Qingshan Liu, Fanjing Meng, Weishan Dong, Yu Wang, Jingmin Xu
2014 A* conf
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization.
CVPR
Xiao-Tong Yuan, Qingshan Liu
2014 J jnl
Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance.
Int. J. Autom. Comput.
Shengye Yan, Xinxing Xu, Qingshan Liu
2013 — conf
A Weighted One Class Collaborative Filtering with Content Topic Features.
MMM (2)
Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu
2013 J jnl
Learning for scalable multimedia representation.
Neurocomputing
Qingshan Liu, Yueting Zhuang
2013 J jnl
Monitoring activity of taking medicine by incorporating RFID and video analysis.
Netw. Model. Anal. Health Informatics Bioinform.
Faiz M. Hasanuzzaman, Xiaodong Yang, Yingli Tian, Qingshan Liu, Elizabeth Capezuti
2013 J jnl
Ordinal regularized manifold feature extraction for image ranking.
Signal Process.
Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu
2013 J jnl
Recognizing expressions from face and body gesture by temporal normalized motion and appearance features.
Image Vis. Comput.
Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas
2013 J jnl
Video event description in scene context.
Neurocomputing
Chunmei Liu, Changbo Hu, Qingshan Liu, J. K. Aggarwal
2012 A* conf
Learning active facial patches for expression analysis.
CVPR
Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas
2012 B conf
Learning distance metric regression for facial age estimation.
ICPR
Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu
2012 A* conf
Learning ordinal discriminative features for age estimation.
CVPR
Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu
2012 B conf
Ordinal preserving projection: a novel dimensionality reduction method for image ranking.
ICMR
Changsheng Li, Jing Liu, Yan Liu, Changsheng Xu, Qingshan Liu, Hanqing Lu
2012 J jnl
Special Section on Object and Event Classification in Large-Scale Video Collections.
IEEE Trans. Multim.
Changsheng Xu, Alan Hanjalic, Shuicheng Yan, Qingshan Liu, Alan F. Smeaton
2012 J jnl
Temporal Spectral Residual for fast salient motion detection.
Neurocomputing
Xinyi Cui, Qingshan Liu, Shaoting Zhang, Fei Yang, Dimitris N. Metaxas
2011 J jnl
A Component-Based Framework for Generalized Face Alignment.
IEEE Trans. Syst. Man Cybern. Part B
Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas
2011 A conf
A Framework for the Recognition of Nonmanual Markers in Segmented Sequences of American Sign Language.
BMVC
Nicholas Michael, Peng Yang, Qingshan Liu, Dimitris N. Metaxas, Carol Neidle
2011 A* conf
Abnormal detection using interaction energy potentials.
CVPR
Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas
2011 A* conf
Content quality based image retrieval with multiple instance boost ranking.
ACM Multimedia
Peng Yang, Hui Li, Qingshan Liu, Lin Zhong, Dimitris N. Metaxas
2011 J jnl
Dynamic soft encoded patterns for facial event analysis.
Comput. Vis. Image Underst.
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2011 J jnl
Hypergraph with sampling for image retrieval.
Pattern Recognit.
Qingshan Liu, Yuchi Huang, Dimitris N. Metaxas
2011 J jnl
Identifying Regional Cardiac Abnormalities From Myocardial Strains Using Nontracking-Based Strain Estimation and Spatio-Temporal Tensor Analysis.
IEEE Trans. Medical Imaging
Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel
2011 — conf
Identifying medicine bottles by incorporating RFID and video analysis.
BIBM Workshops
Faiz M. Hasanuzzaman, Yingli Tian, Qingshan Liu
2011 — conf
Recognizing expressions from face and body gesture by temporal normalized motion and appearance features.
CVPR Workshops
Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas
2011 B conf
Segment and recognize expression phase by fusion of motion area and neutral divergence features.
FG
Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas
2011 J jnl
Unsupervised Image Categorization by Hypergraph Partition.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuchi Huang, Qingshan Liu, Fengjun Lv, Yihong Gong, Dimitris N. Metaxas
2010 A* conf
Exploring facial expressions with compositional features.
CVPR
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2010 A* conf
Image retrieval via probabilistic hypergraph ranking.
CVPR
Yuchi Huang, Qingshan Liu, Shaoting Zhang, Dimitris N. Metaxas
2010 J jnl
Lennard-Jones force field for geometric active contour.
Signal Process.
Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N. Metaxas
2010 — conf
Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines.
MICCAI (1)
Qingshan Liu, Zhen Qian, Idean Marvasty, Sarah Rinehart, Szilard Voros, Dimitris N. Metaxas
2009 A conf
A variational multi-view learning framework and its application to image segmentation.
ICME
Zhenglong Li, Qingshan Liu, Hanqing Lu
2009 J jnl
Boosting encoded dynamic features for facial expression recognition.
Pattern Recognit. Lett.
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2009 B conf
Expanded bag of words representation for object classification.
ICIP
Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu
2009 J jnl
Image annotation via graph learning.
Pattern Recognit.
Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma
2009 J jnl
Introduction to computer vision and image understanding the special issue on video analysis.
Comput. Vis. Image Underst.
Qingshan Liu, Xuelong Li, Ahmed M. Elgammal, Xian-Sheng Hua, Dong Xu, Dacheng Tao
2009 J jnl
Introduction to the special issue on Video-based Object and Event Analysis.
Pattern Recognit. Lett.
Shiguang Shan, Qingshan Liu, Dacheng Tao, Dong Xu, Shuicheng Yan, Xuelong Li
2009 A* conf
RankBoost with l1 regularization for facial expression recognition and intensity estimation.
ICCV
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2009 A* conf
Temporal spectral residual: fast motion saliency detection.
ACM Multimedia
Xinyi Cui, Qingshan Liu, Dimitris N. Metaxas
2009 A* conf
Video object segmentation by hypergraph cut.
CVPR
Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas
2008 — conf
A Multilevel Contextual Approach to Change Detection for very high Resolution Images.
IGARSS (4)
Chunlei Huo, Keming Chen, Zhixin Zhou, Hanqing Lu, Jian Cheng, Qingshan Liu
2008 J jnl
A Multimodal Scheme for Program Segmentation and Representation in Broadcast Video Streams.
IEEE Trans. Multim.
Jinqiao Wang, Ling-Yu Duan, Qingshan Liu, Hanqing Lu, Jesse S. Jin
2008 J jnl
A new extension of kernel feature and its application for visual recognition.
Neurocomputing
Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma
2008 — conf
A novel learning based segmentation method for rodent brain structures using MRI.
ISBI
Jinghao Zhou, Sukmoon Chang, Qingshan Liu, George J. Pappas, Vasilios Boronikolas, Michael Michaelides, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas
2008 B conf
A variational inference based approach for image segmentation.
ICPR
Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu
2008 A* conf
Facial expression recognition using encoded dynamic features.
CVPR
Peng Yang, Qingshan Liu, Xinyi Cui, Dimitris N. Metaxas
2008 A conf
Human-centered image navigation on mobile devices.
ICME
Cunxun Zang, Qingshan Liu, Jian Cheng, Hanqing Lu
2008 — conf
Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis.
MICCAI (1)
Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel
2008 B conf
Lennard-Jones force field for Geometric Active Contour.
ICPR
Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N. Metaxas
2008 — conf
Similarity Features for Facial Event Analysis.
ECCV (1)
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2008 — conf
Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification.
ETVC
Qingshan Liu, Dimitris N. Metaxas
2008 — conf
Urban Change Detection based on Local Features and Multiscale Fusion.
IGARSS (3)
Chunlei Huo, Zhixin Zhou, Qingshan Liu, Jian Cheng, Hanqing Lu, Keming Chen
2007 A* conf
A Component Based Deformable Model for Generalized Face Alignment.
ICCV
Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas
2007 A conf
A New Multimedia Message Customizing Framework for mobile Devices.
ICME
Cunxun Zang, Qingshan Liu, Hanqing Lu, Kongqiao Wang
2007 — conf
A Unified Framework of Subspace and Distance Metric Learning for Face Recognition.
AMFG
Qingshan Liu, Dimitris N. Metaxas
2007 J jnl
An improved variable-size block-matching algorithm.
Multim. Tools Appl.
Haifeng Wang, Qingshan Liu, Hanqing Lu
2007 — conf
Automatic TV Logo Detection, Tracking and Removal in Broadcast Video.
MMM (2)
Jinqiao Wang, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu
2007 A* conf
Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition.
CVPR
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2007 — conf
Face Mis-alignment Analysis by Multiple-Instance Subspace.
ACCV (2)
Zhiguo Li, Qingshan Liu, Dimitris N. Metaxas
2007 A conf
Facial Expression Recognition using Encoded Dynamic Features.
ICME
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
2007 A conf
Image Annotation Refinement using NSC-Based Word Correlation.
ICME
Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma
2007 — conf
Image Segmentation Using Co-EM Strategy.
ACCV (2)
Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu
2007 — conf
Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy.
MICCAI (1)
Sukmoon Chang, Jinghao Zhou, Qingshan Liu, Dimitris N. Metaxas, Bruce G. Haffty, Sung N. Kim, Salma J. Jabbour, Ning J. Yue
2007 A conf
Robust Commercial Retrieval in Video Streams.
ICME
Jinqiao Wang, Lingyu Duan, Qingshan Liu, Hanqing Lu, Jesse S. Jin
2007 A conf
Topology-Preserved Diffusion Distance for Histogram Comparison.
BMVC
Wang Yan, Qiqi Wang, Qingshan Liu, Hanqing Lu, Songde Ma
2006 — conf
A Geometric Active Contour Framework using Multi-Cue and Local Feature.
ICPR (2)
Zhenglong Li, Qingshan Liu, Hanqing Lu
2006 — conf
A Geometric Contour Framework with Vector Field Support.
ACCV (2)
Zhenglong Li, Qingshan Liu, Hanqing Lu
2006 — conf
A framework for providing adaptive sports video to mobile devices.
MobiMedia
Cunxun Zang, Qingshan Liu, Xiaofeng Tong, Hanqing Lu
2006 — conf
An adaptive graph model for automatic image annotation.
Multimedia Information Retrieval
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, Hanqing Lu
2006 — conf
Automatic Moving Object Segmentation with Accurate Boundaries.
ACCV (1)
Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu
2006 — conf
Boosting Multi-gabor Subspaces for Face Recognition.
ACCV (1)
Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma
2006 — conf
Dynamic Similarity Kernel for Visual Recognition.
KES (2)
Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma
2006 J jnl
Ensemble learning for independent component analysis.
Pattern Recognit.
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen
2006 J jnl
Face recognition using kernel scatter-difference-based discriminant analysis.
IEEE Trans. Neural Networks
Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma
2006 — conf
Fast Global Motion Estimation Via Iterative Least-Square Method.
ACCV (2)
Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu
2006 A conf
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction.
ICME
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu
2006 — conf
Multiple Similarities Based Kernel Subspace Learning for Image Classification.
ACCV (2)
Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma
2006 — conf
Occlusion Robust Face Recognition with Dynamic Similarity Features.
ICPR (3)
Qingshan Liu, Wang Yan, Hanqing Lu, Songde Ma
2006 A conf
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions.
ICME
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, Songde Ma
2005 — conf
A Nonlinear Approach for Face Sketch Synthesis and Recognition.
CVPR (1)
Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing Lu, Songde Ma
2005 — conf
A unified framework for semantic shot representation of sports video.
Multimedia Information Retrieval
Xiaofeng Tong, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu, Qi Tian
2005 — conf
AIRE: an ambient interactive and responsive environment for mobile image management.
Mobile HCI
Zhigang Hua, Xiang-Jun Wang, Xing Xie, Qingshan Liu, Hanqing Lu, Wei-Ying Ma
2005 Misc conf
Fast Global Motion Estimation via Modified ILSE Method.
MVA
Jia Wang, Hanqing Lu, Qingshan Liu
2005 A* conf
Highlight ranking for sports video browsing.
ACM Multimedia
Xiaofeng Tong, Qingshan Liu, Yifan Zhang, Hanqing Lu
2005 A conf
Learning Local Descriptors for Face Detection.
ICME
Hongliang Jin, Qingshan Liu, Xiaoou Tang, Hanqing Lu
2005 A* conf
Providing on-demand sports video to mobile devices.
ACM Multimedia
Qingshan Liu, Zhigang Hua, Cunxun Zang, Xiaofeng Tong, Hanqing Lu
2005 A* conf
Semantic knowledge extraction and annotation for web images.
ACM Multimedia
Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing Lu
2005 J jnl
Supervised kernel locality preserving projections for face recognition.
Neurocomputing
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen
2004 B conf
A supervised nonlinear local embedding for face recognition.
ICIP
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen
2004 A conf
A three-layer event detection framework and its application in soccer video.
ICME
Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu
2004 — conf
An Effective and Fast Soccer Ball Detection and Tracking Method.
ICPR (4)
Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu
2004 — conf
Distance Based Kernel PCA Image Reconstruction.
ICPR (3)
Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma
2004 — conf
Face Detection Using One-Class-Based Support Vectors.
FGR
Hongliang Jin, Qingshan Liu, Hanqing Lu
2004 Misc conf
Face detection using improved LBP under Bayesian framework.
ICIG
Hongliang Jin, Qingshan Liu, Hanqing Lu, Xiaofeng Tong
2004 B conf
Feature space analysis using low-order tensor voting.
ICIP
Jia Wang, Hanqing Lu, Qingshan Liu
2004 B conf
Improving ICA Performance for Modeling Image Appearance with the Kernel Trick.
KES
Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma
2004 J jnl
Improving kernel Fisher discriminant analysis for face recognition.
IEEE Trans. Circuits Syst. Video Technol.
Qingshan Liu, Hanqing Lu, Songde Ma
2004 — conf
Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition.
ICPR (2)
Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma
2004 — conf
Modeling Face Appearance With Nonlinear Independent Component Analysis.
FGR
Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma
2004 B conf
Random Independent Subspace for Face Recognition.
KES
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen
2004 Misc conf
Replay detection in broadcasting sports video.
ICIG
Xiaofeng Tong, Hanqing Lu, Qingshan Liu, Hongliang Jin
2004 Misc conf
Robust color-based tracking.
ICIG
Feng Liu, Qingshan Liu, Hanqing Lu
2004 B conf
Semantic units based events detection in soccer videos.
ICIP
Xiaofeng Tong, Qingshan Liu, Hanqing Lu
2004 — conf
Tensor Voting Toward Feature Space Analysis.
ICPR (3)
Jia Wang, Hanqing Lu, Qingshan Liu
2004 — conf
Texture Classification Using Kernel Independent Component Analysi.
ICPR (1)
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen
2003 J jnl
Kernel-Based Nonlinear Discriminant Analysis for Face Recognition.
J. Comput. Sci. Technol.
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
2002 — conf
Face Recognition Using Kernel Based Fisher Discriminant Analysis.
FGR
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
2002 J jnl
Head Tracking Using Shapes and Adaptive Color Histograms.
J. Comput. Sci. Technol.
Qingshan Liu, Songde Ma, Hanqing Lu
2002 — conf
Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition.
ICPR (2)
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
2002 — conf
Solving the Small Sample Size Problem of LDA.
ICPR (3)
Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma