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2020 – today
- 2024
[j61]Weijia Wang, Xiao Liu, Hailing Zhou, Lei Wei, Zhigang Deng, M. Manzur Murshed, Xuequan Lu:
Noise4Denoise: Leveraging noise for unsupervised point cloud denoising. Comput. Vis. Media 10(4): 659-669 (2024)- [j60]Run Han
, Ran Qi, Xuequan Lu, Lei Huang, Lei Lyu:
Counting in congested crowd scenes with hierarchical scale-aware encoder-decoder network. Expert Syst. Appl. 238(Part E): 122087 (2024) - [j59]Bosheng Yan, Chang-Tsun Li, Xuequan Lu:
JRC: Deepfake detection via joint reconstruction and classification. Neurocomputing 598: 127862 (2024) - [j58]Abdul Qayyum, Imran Razzak, Moona Mazher, Xuequan Lu, Steven A. Niederer:
Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework. Inf. Fusion 106: 102226 (2024) - [j57]Tianchen Li, Pei Geng, Guohui Cai, Xinran Hou, Xuequan Lu, Lei Lyu:
Variation-aware directed graph convolutional networks for skeleton-based action recognition. Knowl. Based Syst. 302: 112319 (2024) - [j56]Swathi Prabhu, Keerthana Prasad, Xuequan Lu, Antonio Robles-Kelly, Thuong N. Hoang:
Single-stage object detector with attention mechanism for squamous cell carcinoma feature detection using histopathological images. Multim. Tools Appl. 83(9): 27193-27215 (2024) - [j55]Chen Pang, Xuequan Lu, Xiang Liu, Renfeng Zhang, Lei Lyu:
IIAM: Intra and Inter Attention With Mutual Consistency Learning Network for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(10): 5971-5983 (2024) - [j54]Md. Palash Uddin, Yong Xiang, Borui Cai, Xuequan Lu, John Yearwood, Longxiang Gao:
ARFL: Adaptive and Robust Federated Learning. IEEE Trans. Mob. Comput. 23(5): 5401-5417 (2024) - [j53]Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak:
GRA: Graph Representation Alignment for Semi-Supervised Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11896-11905 (2024) - [j52]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Antonio Robles-Kelly:
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. IEEE Trans. Vis. Comput. Graph. 30(8): 4527-4541 (2024) - [j51]Jincen Jiang, Xuequan Lu, Wanli Ouyang, Meili Wang:
Unsupervised contrastive learning with simple transformation for 3D point cloud data. Vis. Comput. 40(8): 5169-5186 (2024) - [j50]Weijia Wang, Wei Pan, Chaofan Dai, Richard Dazeley, Lei Wei, Bernard Rolfe, Xuequan Lu:
Segmentation-driven feature-preserving mesh denoising. Vis. Comput. 40(9): 6201-6217 (2024) - [j49]Shenglin Lu, Sheldon Fung, Wei Pan, Nilmini Wickramasinghe, Xuequan Lu:
Veintr: robust end-to-end full-hand vein identification with transformer. Vis. Comput. 40(10): 7015-7023 (2024) - [c40]Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. AAAI 2024: 12883-12891 - [c39]Sheldon Fung, Wei Pan, Xiao Liu, John Yearwood, Richard Dazeley, Xuequan Lu:
TopFormer: Topology-Aware Transformer for Point Cloud Registration. CVM (1) 2024: 112-128 - [c38]Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Shouhong Ding, Lizhuang Ma:
Test-Time Domain Generalization for Face Anti-Spoofing. CVPR 2024: 175-187 - [c37]Yiran Song, Qianyu Zhou, Xiangtai Li, Deng-Ping Fan, Xuequan Lu, Lizhuang Ma:
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model. CVPR 2024: 3162-3173 - [c36]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Lei Wei, Antonio Robles-Kelly, Hongdong Li:
StraightPCF: Straight Point Cloud Filtering. CVPR 2024: 20721-20730 - [c35]Jincen Jiang, Qianyu Zhou, Yuhang Li, Xuequan Lu, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang:
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding. ECCV (6) 2024: 455-474 - [c34]Yangdong Chen, Yanfei Wang, Yuejie Zhang, Rui Feng, Tao Zhang, Xuequan Lu, Shang Gao:
Fine-Granularity Face Sketch Synthesis. ICASSP 2024: 4035-4039 - [c33]Weizhou Liu, Xingce Wang, Haichuan Zhao, Xingfei Xue, Zhongke Wu, Xuequan Lu, Ying He:
Consistent Point Orientation for Manifold Surfaces via Boundary Integration. SIGGRAPH (Conference Paper Track) 2024: 54 - [i69]Yiran Song, Qianyu Zhou, Xiangtai Li, Deng-Ping Fan, Xuequan Lu, Lizhuang Ma:
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model. CoRR abs/2401.02317 (2024) - [i68]Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. CoRR abs/2401.02610 (2024) - [i67]Yiran Song, Qianyu Zhou, Xuequan Lu, Zhiwen Shao, Lizhuang Ma:
SimAda: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes. CoRR abs/2401.17803 (2024) - [i66]Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Shouhong Ding, Lizhuang Ma:
Test-Time Domain Generalization for Face Anti-Spoofing. CoRR abs/2403.19334 (2024) - [i65]Shaocong Long, Qianyu Zhou, Xiangtai Li, Xuequan Lu, Chenhao Ying, Yuan Luo, Lizhuang Ma, Shuicheng Yan:
DGMamba: Domain Generalization via Generalized State Space Model. CoRR abs/2404.07794 (2024) - [i64]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Lei Wei, Antonio Robles-Kelly, Hongdong Li:
StraightPCF: Straight Point Cloud Filtering. CoRR abs/2405.08322 (2024) - [i63]Fengfan Zhou, Qianyu Zhou, Xiangtai Li, Xuequan Lu, Lizhuang Ma, Hefei Ling:
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models. CoRR abs/2405.16940 (2024) - [i62]Weizhou Liu, Xingce Wang, Haichuan Zhao, Xingfei Xue, Zhongke Wu, Xuequan Lu, Ying He:
Consistent Point Orientation for Manifold Surfaces via Boundary Integration. CoRR abs/2407.03165 (2024) - [i61]Jincen Jiang, Qianyu Zhou, Yuhang Li, Xuequan Lu, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang:
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding. CoRR abs/2407.08801 (2024) - [i60]Hao Yang, Qianyu Zhou, Haijia Sun, Xiangtai Li, Fengqi Liu, Xuequan Lu, Lizhuang Ma, Shuicheng Yan:
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model. CoRR abs/2408.13574 (2024) - [i59]Sicheng Liu, Lintao Wang, Xiaogan Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu:
SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization. CoRR abs/2408.15829 (2024) - [i58]Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu:
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning. CoRR abs/2409.00353 (2024) - 2023
- [j48]Weijia Wang, Wei Pan, Xiao Liu, Kui Su, Bernard Rolfe, Xuequan Lu:
Random screening-based feature aggregation for point cloud denoising. Comput. Graph. 116: 64-72 (2023) - [j47]Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu:
Towards uniform point distribution in feature-preserving point cloud filtering. Comput. Vis. Media 9(2): 249-263 (2023) - [j46]Yaping Jing, Xuequan Lu, Shang Gao:
3D face recognition: A comprehensive survey in 2022. Comput. Vis. Media 9(4): 657-685 (2023) - [j45]Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Xuequan Lu, Lizhuang Ma:
Self-Adversarial Disentangling for Specific Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8954-8968 (2023) - [j44]Uno Fang, Jianxin Li, Xuequan Lu, Ajmal Mian, Zhaoquan Gu:
Robust image clustering via context-aware contrastive graph learning. Pattern Recognit. 138: 109340 (2023) - [j43]Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang:
Graph classification via discriminative edge feature learning. Pattern Recognit. 143: 109799 (2023) - [j42]Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
Context-Aware Mixup for Domain Adaptive Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(2): 804-817 (2023) - [j41]Pei Geng, Xuequan Lu, Chunyu Hu, Hong Liu, Lei Lyu:
Focusing Fine-Grained Action by Self-Attention-Enhanced Graph Neural Networks With Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4754-4768 (2023) - [j40]Di Shao, Xuequan Lu, Xiao Liu:
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-Branch Learning. IEEE J. Biomed. Health Informatics 27(4): 1770-1779 (2023) - [j39]Chen Pang, Xuequan Lu, Lei Lyu:
Skeleton-Based Action Recognition Through Contrasting Two-Stream Spatial-Temporal Networks. IEEE Trans. Multim. 25: 8699-8711 (2023) - [j38]Md. Palash Uddin, Yong Xiang, Xuequan Lu, John Yearwood, Longxiang Gao:
Federated Learning via Disentangled Information Bottleneck. IEEE Trans. Serv. Comput. 16(3): 1874-1889 (2023) - [c32]Yuhao Chen, Xin Tan, Borui Zhao, Zhaowei Chen, Renjie Song, Jiajun Liang, Xuequan Lu:
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data. CVPR 2023: 7548-7557 - [c31]Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He:
IterativePFN: True Iterative Point Cloud Filtering. CVPR 2023: 13530-13539 - [c30]Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Ran Yi, Shouhong Ding, Lizhuang Ma:
Instance-Aware Domain Generalization for Face Anti-Spoofing. CVPR 2023: 20453-20463 - [c29]Yimin Hu, Guorui Yu, Yuejie Zhang, Rui Feng, Tao Zhang, Xuequan Lu, Shang Gao:
Motion-Aware Video Paragraph Captioning via Exploring Object-Centered Internal Knowledge. ICASSP 2023: 1-5 - [c28]Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu:
Snow Removal in Video: A New Dataset and A Novel Method. ICCV 2023: 13165-13176 - [c27]Weijia Wang, Xuequan Lu, Di Shao, Xiao Liu, Richard Dazeley, Antonio Robles-Kelly, Wei Pan:
Weighted Point Cloud Normal Estimation. ICME 2023: 2015-2020 - [c26]Yuelin Hu, Yuanwu Xu, Yuejie Zhang, Rui Feng, Tao Zhang, Xuequan Lu, Shang Gao:
CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via Language. NLPCC (1) 2023: 429-441 - [i57]Chen Pang, Xuequan Lu, Lei Lyu:
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks. CoRR abs/2301.11495 (2023) - [i56]Yuhao Chen, Xin Tan, Borui Zhao, Zhaowei Chen, Renjie Song, Jiajun Liang, Xuequan Lu:
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data. CoRR abs/2303.11066 (2023) - [i55]Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He:
IterativePFN: True Iterative Point Cloud Filtering. CoRR abs/2304.01529 (2023) - [i54]Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Ran Yi, Shouhong Ding, Lizhuang Ma:
Instance-Aware Domain Generalization for Face Anti-Spoofing. CoRR abs/2304.05640 (2023) - [i53]Chengyu Zheng, Peng Li, Xiao-Ping Zhang, Xuequan Lu, Mingqiang Wei:
Don't worry about mistakes! Glass Segmentation Network via Mistake Correction. CoRR abs/2304.10825 (2023) - [i52]Weijia Wang, Xuequan Lu, Di Shao, Xiao Liu, Richard Dazeley, Antonio Robles-Kelly, Wei Pan:
Weighted Point Cloud Normal Estimation. CoRR abs/2305.04007 (2023) - [i51]Zhengyuan Peng, Qijian Tian, Jianqing Xu, Yizhang Jin, Xuequan Lu, Xin Tan, Yuan Xie, Lizhuang Ma:
Generalized Category Discovery in Semantic Segmentation. CoRR abs/2311.11525 (2023) - 2022
- [j37]Jinxi Wang, Jincen Jiang, Xuequan Lu, Meili Wang:
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach. Comput. Aided Des. 144: 103162 (2022) - [j36]Swathi Prabhu, Keerthana Prasad, Antonio Robles-Kelly, Xuequan Lu:
AI-based carcinoma detection and classification using histopathological images: A systematic review. Comput. Biol. Medicine 142: 105209 (2022) - [j35]Fei Hu, Honghua Chen, Xuequan Lu, Zhe Zhu, Jun Wang, Weiming Wang, Fu Lee Wang, Mingqiang Wei:
SPCNet: Stepwise Point Cloud Completion Network. Comput. Graph. Forum 41(7): 153-164 (2022) - [j34]Haoran Pan, Jun Zhou, Yuanpeng Liu, Xuequan Lu, Weiming Wang, Xuefeng Yan, Mingqiang Wei:
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation. Comput. Graph. Forum 41(7): 371-381 (2022) - [j33]Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
Uncertainty-aware consistency regularization for cross-domain semantic segmentation. Comput. Vis. Image Underst. 221: 103448 (2022) - [j32]Jiaqi Yang, Xuequan Lu, Wenzhi Chen:
A robust scheme for copy detection of 3D object point clouds. Neurocomputing 510: 181-192 (2022) - [j31]Fuyun Wang, Xuequan Lu, Lei Lyu:
CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation. Knowl. Based Syst. 251: 109282 (2022) - [j30]Chunzhi Gu, Xuequan Lu, Chao Zhang:
Example-based color transfer with Gaussian mixture modeling. Pattern Recognit. 129: 108716 (2022) - [j29]Zhengyang Feng, Qianyu Zhou, Qiqi Gu, Xin Tan, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
DMT: Dynamic mutual training for semi-supervised learning. Pattern Recognit. 130: 108777 (2022) - [j28]Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Xuequan Lu, Lizhuang Ma:
Unconstrained Facial Action Unit Detection via Latent Feature Domain. IEEE Trans. Affect. Comput. 13(2): 1111-1126 (2022) - [j27]Xuequan Lu, Scott Schaefer, Jun Luo, Lizhuang Ma, Ying He:
Low Rank Matrix Approximation for 3D Geometry Filtering. IEEE Trans. Vis. Comput. Graph. 28(4): 1835-1847 (2022) - [c25]Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao:
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping. CVPR 2022: 9427-9436 - [c24]Qianyu Zhou, Chuyun Zhuang, Ran Yi, Xuequan Lu, Lizhuang Ma:
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization. ICME 2022: 1-6 - [c23]Heming Jing, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao:
Semantic-Driven Saliency-Context Separation for Video Captioning. ICME 2022: 1-6 - [c22]Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly:
Deep Point Cloud Normal Estimation via Triplet Learning (Demonstration). ICME Workshops 2022: 1 - [c21]Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly:
Deep Point Cloud Normal Estimation Via Triplet Learning. ICME 2022: 1-6 - [c20]Yuanwu Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao:
STDNet: Spatio-Temporal Decomposed Network for Video Grounding. ICME 2022: 1-6 - [c19]Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Imran Razzak, Gediminas Kostkevicius, Domantas Ozerenskis:
Anatomical Landmarks Localization for 3D Foot Point Clouds. ICONIP (3) 2022: 627-638 - [c18]Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao:
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation. IJCAI 2022: 1109-1115 - [c17]Chengwei Chen, Yaping Jing, Xuequan Lu, Wang Yuan, Lizhuang Ma:
Spoof Face Detection Via Semi-Supervised Adversarial Training. IJCNN 2022: 1-6 - [c16]Lizhi Zhao, Xuequan Lu, Qianyue Bao, Meili Wang:
In-Place Gestures Classification via Long-term Memory Augmented Network. ISMAR 2022: 224-233 - [c15]Guizhen Yang, Mengmeng Ge, Shang Gao, Xuequan Lu, Leo Yu Zhang, Robin Doss:
A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks. NSS 2022: 406-425 - [c14]Yinghan Shi, Lizhi Zhao, Xuequan Lu, Thuong N. Hoang, Meili Wang:
Grasping 3D Objects With Virtual Hand in VR Environment. VRCAI 2022: 8:1-8:8 - [i50]Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu:
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering. CoRR abs/2201.01503 (2022) - [i49]Di Shao, Xuequan Lu, Xiao Liu:
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning. CoRR abs/2201.02198 (2022) - [i48]Swathi Prabhu, Keerthana Prasad, Antonio Robles-Kelly, Xuequan Lu:
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review. CoRR abs/2201.07231 (2022) - [i47]Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao:
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping. CoRR abs/2205.13922 (2022) - [i46]Jincen Jiang, Xuequan Lu, Lizhi Zhao, Richard Dazeley, Meili Wang:
Masked Autoencoders in 3D Point Cloud Representation Learning. CoRR abs/2207.01545 (2022) - [i45]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Antonio Robles-Kelly:
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. CoRR abs/2208.06811 (2022) - [i44]Haoran Pan, Jun Zhou, Yuanpeng Liu, Xuequan Lu, Weiming Wang, Xuefeng Yan, Mingqiang Wei:
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation. CoRR abs/2208.08338 (2022) - [i43]Lizhi Zhao, Xuequan Lu, Qianyue Bao, Meili Wang:
In-Place Gestures Classification via Long-term Memory Augmented Network. CoRR abs/2209.01059 (2022) - [i42]Fei Hu, Honghua Chen, Xuequan Lu, Zhe Zhu, Jun Wang, Weiming Wang, Fu Lee Wang, Mingqiang Wei:
SPCNet: Stepwise Point Cloud Completion Network. CoRR abs/2209.01746 (2022) - [i41]Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang:
Graph Classification via Discriminative Edge Feature Learning. CoRR abs/2210.02060 (2022) - [i40]Bosheng Yan, Xuequan Lu, Chang-Tsun Li:
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification. CoRR abs/2211.13424 (2022) - 2021
- [j26]Chunzhi Gu, Haoran Xie, Xuequan Lu, Chao Zhang:
CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement. IEEE Access 9: 65140-65149 (2021) - [j25]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Scene image representation by foreground, background and hybrid features. Expert Syst. Appl. 182: 115285 (2021) - [j24]Uno Fang, Jianxin Li, Xuequan Lu, Longxiang Gao, Mumtaz Ali, Yong Xiang:
Self-supervised cross-iterative clustering for unlabeled plant disease images. Neurocomputing 456: 36-48 (2021) - [j23]Chenxu Xu, Wenjie Yu, Yanran Li, Xuequan Lu, Meili Wang, Xiaosong Yang:
KeyFrame extraction for human motion capture data via multiple binomial fitting. Comput. Animat. Virtual Worlds 32(1) (2021) - [j22]Jiahui Mao, Tingting Li, Feiyu Zhang, Meili Wang, Jian Chang, Xuequan Lu:
Bas-relief layout arrangement via automatic method optimization. Comput. Animat. Virtual Worlds 32(3-4) (2021) - [j21]Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu:
Content and context features for scene image representation. Knowl. Based Syst. 232: 107470 (2021) - [j20]Chunzhi Gu, Xuequan Lu, Ying He, Chao Zhang:
Blur Removal Via Blurred-Noisy Image Pair. IEEE Trans. Image Process. 30: 345-359 (2021) - [j19]Zhiwen Shao, Hengliang Zhu, Junshu Tang, Xuequan Lu, Lizhuang Ma:
Explicit Facial Expression Transfer via Fine-Grained Representations. IEEE Trans. Image Process. 30: 4610-4621 (2021) - [j18]Md. Palash Uddin, Yong Xiang, Xuequan Lu, John Yearwood, Longxiang Gao:
Mutual Information Driven Federated Learning. IEEE Trans. Parallel Distributed Syst. 32(7): 1526-1538 (2021) - [j17]Dongbo Zhang, Xuequan Lu, Hong Qin, Ying He:
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling. IEEE Trans. Vis. Comput. Graph. 27(3): 2015-2027 (2021) - [c13]Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. ICCV 2021: 8741-8750 - [c12]Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li:
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning. IJCNN 2021: 1-8 - [c11]Lizhi Zhao, Xuequan Lu, Min Zhao, Meili Wang:
Classifying In-Place Gestures with End-to-End Point Cloud Learning. ISMAR 2021: 229-238 - [c10]Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar:
Automated Security Assessment for the Internet of Things. PRDC 2021: 47-56 - [i39]Uno Fang, Jianxin Li, Xuequan Lu, Mumtaz Ali, Longxiang Gao, Yong Xiang:
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images. CoRR abs/2101.06820 (2021) - [i38]Xuequan Lu, Yihao Wang, Sheldon Fung, Xue Qing:
I-Nema: A Biological Image Dataset for Nematode Recognition. CoRR abs/2103.08335 (2021) - [i37]Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li:
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning. CoRR abs/2104.11507 (2021) - [i36]Takumi Nakane, Xuequan Lu, Haoran Xie, Chao Zhang:
Image Deformation Estimation via Multi-Objective Optimization. CoRR abs/2106.04139 (2021) - [i35]Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
Self-Adversarial Disentangling for Specific Domain Adaptation. CoRR abs/2108.03553 (2021) - [i34]Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
Context-Aware Mixup for Domain Adaptive Semantic Segmentation. CoRR abs/2108.03557 (2021) - [i33]Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. CoRR abs/2108.07142 (2021) - [i32]Lizhi Zhao, Xuequan Lu, Min Zhao, Meili Wang:
Classifying In-Place Gestures with End-to-End Point Cloud Learning. CoRR abs/2108.09639 (2021) - [i31]Yaping Jing, Xuequan Lu, Shang Gao:
3D Face Recognition: A Survey. CoRR abs/2108.11082 (2021) - [i30]Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar:
Automated Security Assessment for the Internet of Things. CoRR abs/2109.04029 (2021) - [i29]Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Gediminas Kostkevicius, Domantas Ozerenskis:
Anatomical Landmarks Localization for 3D Foot Point Clouds. CoRR abs/2110.00937 (2021) - [i28]Jiaqi Yang, Xuequan Lu, Wenzhi Chen:
A Robust Scheme for 3D Point Cloud Copy Detection. CoRR abs/2110.00972 (2021) - [i27]Qianyu Zhou, Chuyun Zhuang, Xuequan Lu, Lizhuang Ma:
Domain Adaptive Semantic Segmentation with Regional Contrastive Consistency Regularization. CoRR abs/2110.05170 (2021) - [i26]Jincen Jiang, Xuequan Lu, Wanli Ouyang, Meili Wang:
Unsupervised Representation Learning for 3D Point Cloud Data. CoRR abs/2110.06632 (2021) - [i25]Jinxi Wang, Jincen Jiang, Xuequan Lu, Meili Wang:
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach. CoRR abs/2110.07253 (2021) - [i24]Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly:
Deep Point Cloud Normal Estimation via Triplet Learning. CoRR abs/2110.10494 (2021) - 2020
- [j16]Chao Zhang, Xuequan Lu, Takuya Akashi:
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. IEEE Access 8: 159077-159088 (2020) - [j15]Wei Pan, Xuequan Lu, Yuanhao Gong, Wenming Tang, Jun Liu, Ying He, Guoping Qiu:
HLO: Half-kernel Laplacian operator for surface smoothing. Comput. Aided Des. 121: 102807 (2020) - [j14]Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang:
Deep feature-preserving normal estimation for point cloud filtering. Comput. Aided Des. 125: 102860 (2020) - [j13]Takumi Nakane, Xuequan Lu, Chao Zhang:
A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm. Comput. Intell. Neurosci. 2020: 8835852:1-8835852:20 (2020) - [j12]Chao Zhang, Xuequan Lu, Katsuya Hotta, Xi Yang:
G2MF-WA: Geometric multi-model fitting with weakly annotated data. Comput. Vis. Media 6(2): 135-145 (2020) - [j11]Takumi Nakane, Bold Naranchimeg, Haitian Sun, Xuequan Lu, Takuya Akashi, Chao Zhang:
Application of evolutionary and swarm optimization in computer vision: a literature survey. IPSJ Trans. Comput. Vis. Appl. 12(1): 3 (2020) - [j10]Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang:
Multi-label zero-shot learning with graph convolutional networks. Neural Networks 132: 333-341 (2020) - [c9]Takumi Nakane, Xuequan Lu, Chao Zhang:
SHX: search history driven crossover for real-coded genetic algorithm. GECCO Companion 2020: 217-218 - [c8]Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He:
Deep Patch-Based Human Segmentation. ICONIP (1) 2020: 229-240 - [c7]Disheng Feng, Xuequan Lu, Xufeng Lin:
Deep Detection for Face Manipulation. ICONIP (5) 2020: 316-323 - [c6]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
HDF: Hybrid Deep Features for Scene Image Representation. IJCNN 2020: 1-8 - [i23]Chao Zhang, Xuequan Lu, Katsuya Hotta, Xi Yang:
G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data. CoRR abs/2001.06965 (2020) - [i22]Dongbo Zhang, Xuequan Lu, Hong Qin, Ying He:
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling. CoRR abs/2002.05968 (2020) - [i21]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
HDF: Hybrid Deep Features for Scene Image Representation. CoRR abs/2003.09773 (2020) - [i20]Takumi Nakane, Xuequan Lu, Chao Zhang:
SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm. CoRR abs/2003.13508 (2020) - [i19]Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang:
Deep Feature-preserving Normal Estimation for Point Cloud Filtering. CoRR abs/2004.11563 (2020) - [i18]Chengwei Chen, Wang Yuan, Xuequan Lu, Lizhuang Ma:
Spoof Face Detection Via Semi-Supervised Adversarial Training. CoRR abs/2005.10999 (2020) - [i17]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Scene Image Representation by Foreground, Background and Hybrid Features. CoRR abs/2006.03199 (2020) - [i16]Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu:
Content and Context Features for Scene Image Representation. CoRR abs/2006.03217 (2020) - [i15]Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He:
Deep Patch-based Human Segmentation. CoRR abs/2007.05661 (2020) - [i14]Chaofan Dai, Wei Pan, Xuequan Lu:
Segmentation Based Mesh Denoising. CoRR abs/2008.01358 (2020) - [i13]Chunzhi Gu, Xuequan Lu, Chao Zhang:
Continuous Color Transfer. CoRR abs/2008.13626 (2020) - [i12]Disheng Feng, Xuequan Lu, Xufeng Lin:
Deep Detection for Face Manipulation. CoRR abs/2009.05934 (2020)
2010 – 2019
- 2019
- [j9]Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal:
Indoor Image Representation by High-Level Semantic Features. IEEE Access 7: 84967-84979 (2019) - [j8]Xuequan Lu, Zhigang Deng, Jun Luo, Wenzhi Chen, Sai-Kit Yeung, Ying He:
3D articulated skeleton extraction using a single consumer-grade depth camera. Comput. Vis. Image Underst. 188 (2019) - [c5]Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang:
A probabilistic bitwise genetic algorithm for B-spline based image deformation estimation. GECCO (Companion) 2019: 300-301 - [c4]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
Tag-Based Semantic Features for Scene Image Classification. ICONIP (3) 2019: 90-102 - [c3]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Unsupervised Deep Features for Privacy Image Classification. PSIVT 2019: 404-415 - [i11]Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Xuequan Lu, Lizhuang Ma:
Weakly-Supervised Unconstrained Action Unit Detection via Feature Disentanglement. CoRR abs/1903.10143 (2019) - [i10]Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang:
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation. CoRR abs/1903.10657 (2019) - [i9]Chunzhi Gu, Xuequan Lu, Ying He, Chao Zhang:
Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images. CoRR abs/1903.10667 (2019) - [i8]Jie Zhou, Xuequan Lu, Xin Tan, Zhiwei Shao, Shouhong Ding, Lizhuang Ma:
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds. CoRR abs/1903.10750 (2019) - [i7]Wei Pan, Xuequan Lu, Yuanhao Gong, Wenming Tang, Jun Liu, Ying He, Guoping Qiu:
HLO: Half-kernel Laplacian Operator for Surface Smoothing. CoRR abs/1905.04678 (2019) - [i6]Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal:
Indoor image representation by high-level semantic features. CoRR abs/1906.04987 (2019) - [i5]Zhiwen Shao, Hengliang Zhu, Junshu Tang, Xuequan Lu, Lizhuang Ma:
Explicit Facial Expression Transfer via Fine-Grained Semantic Representations. CoRR abs/1909.02967 (2019) - [i4]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
Tag-based Semantic Features for Scene Image Classification. CoRR abs/1909.09999 (2019) - [i3]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Unsupervised Deep Features for Privacy Image Classification. CoRR abs/1909.10708 (2019) - 2018
- [j7]Xuequan Lu, Shihao Wu, Honghua Chen, Sai-Kit Yeung, Wenzhi Chen, Matthias Zwicker:
GPF: GMM-Inspired Feature-Preserving Point Set Filtering. IEEE Trans. Vis. Comput. Graph. 24(8): 2315-2326 (2018) - [c2]Xuequan Lu, Honghua Chen, Sai-Kit Yeung, Zhigang Deng, Wenzhi Chen:
Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera. AAAI 2018: 7226-7234 - [i2]Xuequan Lu, Scott Schaefer, Jun Luo, Lizhuang Ma, Ying He:
Low Rank Matrix Approximation for Geometry Filtering. CoRR abs/1803.06783 (2018) - [i1]Chao Zhang, Xuequan Lu, Takuya Akashi:
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. CoRR abs/1809.01456 (2018) - 2017
- [j6]Xuequan Lu, Wenzhi Chen, Scott Schaefer:
Robust mesh denoising via vertex pre-filtering and L1-median normal filtering. Comput. Aided Geom. Des. 54: 49-60 (2017) - 2016
- [j5]Xuequan Lu, Zhigang Deng, Wenzhi Chen:
A Robust Scheme for Feature-Preserving Mesh Denoising. IEEE Trans. Vis. Comput. Graph. 22(3): 1181-1194 (2016) - 2014
- [j4]Xuequan Lu, Wenzhi Chen, Mingliang Xu, Zonghui Wang, Zhigang Deng, Yangdong Ye:
AA-FVDM: An accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes. Comput. Animat. Virtual Worlds 25(1): 83-97 (2014) - [j3]Xuequan Lu, Zonghui Wang, Mingliang Xu, Wenzhi Chen, Zhigang Deng:
A personality model for animating heterogeneous traffic behaviors. Comput. Animat. Virtual Worlds 25(3-4): 363-373 (2014) - [j2]Kui Su, Zonghui Wang, Xuequan Lu, Wenzhi Chen:
An original-stream based solution for smoothly replaying high-definition videos in desktop virtualization systems. J. Vis. Lang. Comput. 25(6): 676-683 (2014) - [c1]Kui Su, Zonghui Wang, Xuequan Lu, Wenzhi Chen:
An Original-Stream Based Solution for Smoothly Replaying High-definition Videos in Desktop Virtualization Systems. DMS 2014: 39-46 - 2013
- [j1]Xuequan Lu, Mingliang Xu, Wenzhi Chen, Zonghui Wang, Abdennour El Rhalibi:
Adaptive-AR Model with Drivers' Prediction for Traffic Simulation. Int. J. Comput. Games Technol. 2013: 904154:1-904154:8 (2013)
Coauthor Index
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