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ORCIDXiao Bai 0001
Person information
- affiliation: Beihang University, School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China
- affiliation (former): University of Bath, UK
- affiliation (PhD 2007): University of York, UK
Other persons with the same name
- Xiao Bai — disambiguation page
- Xiao Bai 0002
![[0000-0002-7491-2454]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7491-2454")
— Yahoo Labs (and 1 more) - Xiao Bai 0003 — University of Alberta, Edmonton, AB, Canada
- Xiao Bai 0004 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen Key Lab for Computer Vision and Pattern Recognition, China
- Xiao Bai 0005 — Xinjiang Communications Vocational and Technical College of Communications, Urumqi, China
- Xiao Bai 0006 — East China Normal University, Faculty of Economics and Management, Shanghai, China (and 1 more)
- Xiao Bai 0007 — Lanzhou University, College of Earth and Environmental Sciences, China
- Xiao Bai 0008 — Efrei Paris, Department of Big Data, France
- Xiao Bai 0009 — Anhui Polytechnic University, School of Mathematics-Physics and Finance, Wuhu, China
- Xiao Bai 0010 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xiao Bai 0011 — ShanghaiTech University, School of Biomedical Engineering, China
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2020 – today
- 2024
[j89]Xiang Wang, Haonan Luo, Zihang Wang, Jin Zheng, Xiao Bai:
Robust training for multi-view stereo networks with noisy labels. Displays 81: 102604 (2024)- [j88]Zihang Wang, Haonan Luo, Xiang Wang, Jin Zheng, Xin Ning, Xiao Bai:
A contrastive learning based unsupervised multi-view stereo with multi-stage self-training strategy. Displays 83: 102672 (2024) - [j87]Jiawei Zhang, Lei Huang, Xiao Bai, Jin Zheng, Lin Gu, Edwin R. Hancock:
Exploring the Usage of Pre-trained Features for Stereo Matching. Int. J. Comput. Vis. 132(10): 4305-4326 (2024) - [j86]Xiang Wang, Haonan Luo, Zihang Wang, Jin Zheng, Xiao Bai:
Self-supervised multi-frame depth estimation with visual-inertial pose transformer and monocular guidance. Inf. Fusion 108: 102363 (2024) - [j85]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu:
ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis. Inf. Fusion 110: 102456 (2024) - [j84]Yuchen Wu, Pengcheng Zhang, Meiying Gu, Jin Zheng, Xiao Bai:
Embodied navigation with multi-modal information: A survey from tasks to methodology. Inf. Fusion 112: 102532 (2024) - [j83]Huadong Lin, Xiaohan Yu, Pengcheng Zhang, Xiao Bai, Jin Zheng:
Consistent prototype contrastive learning for weakly supervised person search. J. Vis. Commun. Image Represent. 105: 104321 (2024) - [j82]Xiao Bai, Pengcheng Zhang, Xiaohan Yu, Jin Zheng, Edwin R. Hancock, Jun Zhou, Lin Gu:
Learning From Human Attention for Attribute-Assisted Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11152-11167 (2024) - [j81]Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Chen Wang, Jin Zheng, Xin Ning:
Joint discriminative representation learning for end-to-end person search. Pattern Recognit. 147: 110053 (2024) - [j80]Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning:
Learning adversarial semantic embeddings for zero-shot recognition in open worlds. Pattern Recognit. 149: 110258 (2024) - [j79]Pengcheng Zhang, Xiaohan Yu, Chen Wang, Jin Zheng, Xin Ning, Xiao Bai:
Towards effective person search with deep learning: A survey from systematic perspective. Pattern Recognit. 152: 110434 (2024) - [j78]Changshuo Wang, Xin Ning, Weijun Li, Xiao Bai, Xingyu Gao:
3D Person Re-Identification Based on Global Semantic Guidance and Local Feature Aggregation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4698-4712 (2024) - [j77]Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock:
Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4423-4437 (2024) - [c90]Ruohuan Fang, Guansong Pang, Xiao Bai:
Simple Image-Level Classification Improves Open-Vocabulary Object Detection. AAAI 2024: 1716-1725 - [c89]Wenjun Miao, Guansong Pang, Xiao Bai, Tianqi Li, Jin Zheng:
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. AAAI 2024: 4216-4224 - [c88]Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng:
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CVPR 2024: 17584-17594 - [c87]Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai:
Robust Synthetic-to-Real Transfer for Stereo Matching. CVPR 2024: 20247-20257 - [c86]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. CVPR 2024: 20775-20785 - [c85]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. ECCV (10) 2024: 127-145 - [c84]Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai:
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. ECCV (1) 2024: 335-352 - [c83]Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang:
Occluded Person Retrieval with Hierarchical Feature Optimization. FG 2024: 1-8 - [c82]Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng, Xin Ning:
Prompting Continual Person Search. ACM Multimedia 2024: 2642-2651 - [c81]Tiantian Liu, Jiahe Li, Xiao Bai, Jin Zheng:
Efficient Emotional Talking Head Generation via Dynamic 3D Gaussian Rendering. PRCV (6) 2024: 80-94 - [i27]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. CoRR abs/2403.06912 (2024) - [i26]Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai:
Robust Synthetic-to-Real Transfer for Stereo Matching. CoRR abs/2403.07705 (2024) - [i25]Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng:
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CoRR abs/2404.03248 (2024) - [i24]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. CoRR abs/2404.15264 (2024) - [i23]Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai:
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization. CoRR abs/2405.12110 (2024) - [i22]Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohang Fang, Jin Zheng, Xiao Bai:
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning. CoRR abs/2407.06045 (2024) - [i21]Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng, Xin Ning:
Prompting Continual Person Search. CoRR abs/2410.19239 (2024) - [i20]Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai:
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation. CoRR abs/2410.20807 (2024) - 2023
- [j76]Yuxin Gong, Haogang Zhu, Jixing Li, Jingchun Yang, Jian Cheng, Ying Chang, Xiao Bai, Xunming Ji:
SCCNet: Self-correction boundary preservation with a dynamic class prior filter for high-variability ultrasound image segmentation. Comput. Medical Imaging Graph. 104: 102183 (2023) - [j75]Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai:
Deep learning-based 3D point cloud classification: A systematic survey and outlook. Displays 79: 102456 (2023) - [j74]Enhao Ning, Canlong Zhang, Changshuo Wang, Xin Ning, Hao Chen, Xiao Bai:
Pedestrian Re-ID based on feature consistency and contrast enhancement. Displays 79: 102467 (2023) - [j73]Xiao Bai, Xin Ning, Praveen Kumar Donta, Wei-Jun Li:
Editorial: Efficient deep neural network for intelligent robot system: Focusing on visual signal processing. Frontiers Neurorobotics 17 (2023) - [j72]Tao Gao, Chen Wang, Jin Zheng, Guoqiang Wu, Xin Ning, Xiao Bai, Jun Yang, Jian Wang:
A smoothing Group Lasso based interval type-2 fuzzy neural network for simultaneous feature selection and system identification. Knowl. Based Syst. 280: 111028 (2023) - [j71]Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock:
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112(7): 2239-2261 (2023) - [j70]Xun Lin, Shuai Wang, Jiahao Deng, Ying Fu, Xiao Bai, Xinlei Chen, Xiaolei Qu, Wenzhong Tang:
Image manipulation detection by multiple tampering traces and edge artifact enhancement. Pattern Recognit. 133: 109026 (2023) - [j69]Xin Ning, Weijuan Tian, Feng He, Xiao Bai, Le Sun, Weijun Li:
Hyper-sausage coverage function neuron model and learning algorithm for image classification. Pattern Recognit. 136: 109216 (2023) - [j68]Xin Ning, Weijuan Tian, Zaiyang Yu, Weijun Li, Xiao Bai, Yuebao Wang:
Corrigendum to' HCFNN: High-order coverage function neural network for image classification' Pattern Recognition. Volume 131(2022) 108873. Pattern Recognit. 139: 109433 (2023) - [j67]Jinze Huang, Xiaohan Yu, Dong An, Yaoguang Wei, Xiao Bai, Jin Zheng, Chen Wang, Jun Zhou:
Learning consistent region features for lifelong person re-identification. Pattern Recognit. 144: 109837 (2023) - [j66]Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Attribute subspaces for zero-shot learning. Pattern Recognit. 144: 109869 (2023) - [j65]Weiwei Cai, Ming Gao, Yao Ding, Xin Ning, Xiao Bai, Pengjiang Qian:
Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j64]Weiwei Cai, Xin Ning, Guoxiong Zhou, Xiao Bai, Yizhang Jiang, Wei Li, Pengjiang Qian:
A Novel Hyperspectral Image Classification Model Using Bole Convolution With Three-Direction Attention Mechanism: Small Sample and Unbalanced Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j63]Weiwei Cai, Pengjiang Qian, Yao Ding, Meiqiao Bi, Xin Ning, Danfeng Hong, Xiao Bai:
Graph-Structured Convolution-Guided Continuous Context Threshold-Aware Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [c80]Pengcheng Zhang, Xiao Bai, Jin Zheng, Xin Ning:
Towards Fully Decoupled End-to-End Person Search. DICTA 2023: 16-23 - [c79]Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng, Xiaoyu Wu, Yongsheng Gao:
Diving into Continual Ultra-fine-grained Visual Categorization. DICTA 2023: 113-120 - [c78]Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu:
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. ICCV 2023: 7534-7544 - [c77]Xiang Wang, Xiao Bai, Chen Wang:
Adaptive Cost Aggregation in Iterative Depth Estimation for Efficient Multi-view Stereo. ICIG (2) 2023: 29-41 - [i19]Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning:
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds. CoRR abs/2307.03416 (2023) - [i18]Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu:
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. CoRR abs/2307.09323 (2023) - [i17]Ruohuan Fang, Guansong Pang, Lei Zhou, Xiao Bai, Jin Zheng:
Unsupervised Recognition of Unknown Objects for Open-World Object Detection. CoRR abs/2308.16527 (2023) - [i16]Pengcheng Zhang, Xiao Bai, Jin Zheng, Xin Ning:
Towards Fully Decoupled End-to-End Person Search. CoRR abs/2309.04967 (2023) - [i15]Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai:
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook. CoRR abs/2311.02608 (2023) - [i14]Ruohuan Fang, Guansong Pang, Xiao Bai:
Simple Image-level Classification Improves Open-vocabulary Object Detection. CoRR abs/2312.10439 (2023) - [i13]Wenjun Miao, Guansong Pang, Tianqi Li, Xiao Bai, Jin Zheng:
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. CoRR abs/2312.10686 (2023) - 2022
- [j62]Pengcheng Zhang, Lei Zhou, Xiao Bai, Chen Wang, Jun Zhou, Liang Zhang, Jin Zheng:
Learning multi-view visual correspondences with self-supervision. Displays 72: 102160 (2022) - [j61]Xiao Bai, Jun Zhou, Xin Ning, Chen Wang:
3D data computation and visualization. Displays 73: 102169 (2022) - [j60]Xiaoling Gong, Ling Yu, Jian Wang, Kai Zhang, Xiao Bai, Nikhil R. Pal:
Unsupervised feature selection via adaptive autoencoder with redundancy control. Neural Networks 150: 87-101 (2022) - [j59]Chen Wang, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai, Xin Ning, Jun Zhou, Edwin R. Hancock:
Uncertainty estimation for stereo matching based on evidential deep learning. Pattern Recognit. 124: 108498 (2022) - [j58]Tao Gao, Xiao Bai, Chen Wang, Liang Zhang, Jin Zheng, Jian Wang:
A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis. Pattern Recognit. 131: 108861 (2022) - [j57]Xin Ning, Weijuan Tian, Zaiyang Yu, Weijun Li, Xiao Bai, Yuebao Wang:
HCFNN: High-order coverage function neural network for image classification. Pattern Recognit. 131: 108873 (2022) - [j56]Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang, Weijun Li, Xiao Bai:
Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j55]Suhad Lateef Al-Khafaji, Jun Zhou, Xiao Bai, Yuntao Qian, Alan Wee-Chung Liew:
Spectral-Spatial Boundary Detection in Hyperspectral Images. IEEE Trans. Image Process. 31: 499-512 (2022) - [j54]Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu:
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. IEEE Trans. Image Process. 31: 598-611 (2022) - [j53]Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou:
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. IEEE Trans. Multim. 24: 1665-1677 (2022) - [j52]Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang:
Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6652-6664 (2022) - [c76]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022: 12991-13001 - [c75]Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) 2022: 57-73 - [i12]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR abs/2203.10887 (2022) - 2021
- [j51]Cai Luo, Leijian Yu, Jiaxing Yan, Zhongwei Li, Peng Ren, Xiao Bai, Erfu Yang, Yonghong Liu:
Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks. Comput. Aided Civ. Infrastructure Eng. 36(12): 1585-1599 (2021) - [j50]Xiang Wang, Chen Wang, Bing Liu, Xiaoqing Zhou, Liang Zhang, Jin Zheng, Xiao Bai:
Multi-view stereo in the Deep Learning Era: A comprehensive revfiew. Displays 70: 102102 (2021) - [j49]Peng Lei, Tong Zheng, Jun Wang, Xiao Bai:
A Joint Convolutional Neural Network for Simultaneous Despeckling and Classification of SAR Targets. IEEE Geosci. Remote. Sens. Lett. 18(9): 1610-1614 (2021) - [j48]Xiao Bai, Xiang Wang, Xianglong Liu, Qiang Liu, Jingkuan Song, Nicu Sebe, Been Kim:
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments. Pattern Recognit. 120: 108102 (2021) - [j47]Xin Ning, Ke Gong, Weijun Li, Liping Zhang, Xiao Bai, Shengwei Tian:
Feature Refinement and Filter Network for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3391-3402 (2021) - [j46]Chen Wang, Xiao Bai, Xiang Wang, Xianglong Liu, Jun Zhou, Xinyu Wu, Hongdong Li, Dacheng Tao:
Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation. IEEE Trans. Cybern. 51(10): 4770-4783 (2021) - [c74]Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada:
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CVPR 2021: 3794-3803 - [c73]Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen:
Occluded Person Re-Identification with Single-scale Global Representations. ICCV 2021: 11855-11864 - [c72]Lei Zhou, Yang Liu, Xiao Bai, Xiang Wang, Chen Wang, Liang Zhang, Lin Gu:
Relation-Aware Reasoning with Graph Convolutional Network. ICIG (1) 2021: 52-64 - [c71]Tao Gao, Xiao Bai, Liang Zhang, Jian Wang:
Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization. SSCI 2021: 1-8 - [i11]Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada:
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CoRR abs/2103.03433 (2021) - 2020
- [j45]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020) - [j44]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary neural networks: A survey. Pattern Recognit. 105: 107281 (2020) - [j43]Yingying Zhang, Yuxin Gong, Haogang Zhu, Xiao Bai, Wenzhong Tang:
Multi-head enhanced self-attention network for novelty detection. Pattern Recognit. 107: 107486 (2020) - [j42]Xiao Bai, Edwin R. Hancock, Richard C. Wilson, Tin Kam Ho:
Special issue on recent advances in statistical, structural and syntactic pattern recognition. Pattern Recognit. Lett. 131: 46-48 (2020) - [j41]Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock:
Local-global nested graph kernels using nested complexity traces. Pattern Recognit. Lett. 134: 87-95 (2020) - [j40]Lirong Han, Peng Li, Xiao Bai, Christos Grecos, Xiaoyu Zhang, Peng Ren:
Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval. Remote. Sens. 12(1): 101 (2020) - [j39]Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4257-4270 (2020) - [j38]Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao:
Distributed Complementary Binary Quantization for Joint Hash Table Learning. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5312-5323 (2020) - [c70]Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang:
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. AAAI 2020: 12926-12934 - [c69]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CVPR 2020: 12170-12179 - [c68]Lei Zhou, Liang Zhang, Xiao Bai, Jun Zhou:
Matrix Classifier On Dynamic Functional Connectivity For Mci Identification. ICIP 2020: 325-329 - [c67]Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. ICPR 2020: 1197-1204 - [c66]Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. ICPR 2020: 1558-1565 - [c65]Chen Wang, Jun Zhou, Chengyuan Xu, Xiao Bai:
A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background. ICPRAI 2020: 218-227 - [i10]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CoRR abs/2003.06780 (2020) - [i9]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary Neural Networks: A Survey. CoRR abs/2004.03333 (2020) - [i8]Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu:
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. CoRR abs/2009.10295 (2020) - [i7]Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. CoRR abs/2011.09654 (2020)
2010 – 2019
- 2019
- [j37]Xu Zheng, Zhipeng Cai, Guangchun Luo, Ling Tian, Xiao Bai:
Privacy-preserved community discovery in online social networks. Future Gener. Comput. Syst. 93: 1002-1009 (2019) - [j36]Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock:
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336: 3-12 (2019) - [j35]Cheng Yan, Xiao Bai, Shuai Wang, Jun Zhou, Edwin R. Hancock:
Cross-modal hashing with semantic deep embedding. Neurocomputing 337: 58-66 (2019) - [j34]Chen Wang, Xiao Bai, Shuai Wang, Jun Zhou, Peng Ren:
Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 16(2): 310-314 (2019) - [j33]Xueni Zhang, Lei Zhou, Xiao Bai, Xiushu Luan, Jie Luo, Edwin R. Hancock:
Deep supervised hashing using symmetric relative entropy. Pattern Recognit. Lett. 125: 677-683 (2019) - [j32]Chen Wang, Xiang Wang, Xiao Bai, Yun Liu, Jun Zhou:
Self-Supervised deep homography estimation with invertibility constraints. Pattern Recognit. Lett. 128: 355-360 (2019) - [j31]Jun Wang, Tong Zheng, Peng Lei, Xiao Bai:
A Hierarchical Convolution Neural Network (CNN)-Based Ship Target Detection Method in Spaceborne SAR Imagery. Remote. Sens. 11(6): 620 (2019) - [c64]Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock:
Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization. BMVC 2019: 87 - [c63]Dong Wang, Shengge Shi, Xiao Bai, Xueni Zhang:
Accelerating Deep Convnets via Sparse Subspace Clustering. ICIG (2) 2019: 595-606 - [c62]Dong Wang, Xiao Bai, Lei Zhou, Jun Zhou:
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. ICTAI 2019: 768-775 - [c61]Chen Wang, Xiao Bai, Lei Zhou, Jun Zhou:
Hyperspectral Image Classification Based on Non-Local Neural Networks. IGARSS 2019: 584-587 - [c60]Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. IJCAI 2019: 4440-4446 - [c59]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock:
Deep Hashing by Discriminating Hard Examples. ACM Multimedia 2019: 1535-1542 - [i6]Dong Wang, Lei Zhou, Xiao Bai, Jun Zhou:
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. CoRR abs/1906.07488 (2019) - [i5]Youmin Zhang, Yimin Chen, Xiao Bai, Jun Zhou, Kun Yu, Zhiwei Li, Kuiyuan Yang:
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. CoRR abs/1909.03751 (2019) - [i4]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen:
Unified Multifaceted Feature Learning for Person Re-Identification. CoRR abs/1911.08651 (2019) - 2018
- [j30]Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock:
Adaptive hash retrieval with kernel based similarity. Pattern Recognit. 75: 136-148 (2018) - [j29]Jie Liang, Jun Zhou, Lei Tong, Xiao Bai, Bin Wang:
Material based salient object detection from hyperspectral images. Pattern Recognit. 76: 476-490 (2018) - [j28]Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai, Jun Zhou:
Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 701-712 (2018) - [j27]Jun Wang, Tong Zheng, Peng Lei, Xiao Bai:
Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4180-4192 (2018) - [c58]Peng Sun, Cheng Yan, Shuai Wang, Xiao Bai:
Discriminate Cross-modal Quantization for Efficient Retrieval. ICPR 2018: 3328-3334 - [c57]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou:
Binary Coding by Matrix Classifier for Efficient Subspace Retrieval. ICMR 2018: 82-90 - [c56]Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin R. Hancock:
Iterative Deep Subspace Clustering. S+SSPR 2018: 42-51 - [c55]Peng Sun, Wenzhong Tang, Xiao Bai:
Learning Deep Embeddings via Margin-Based Discriminate Loss. S+SSPR 2018: 107-115 - [c54]Xiang Wang, Chen Wang, Xiao Bai, Yun Liu, Jun Zhou:
Deep Homography Estimation with Pairwise Invertibility Constraint. S+SSPR 2018: 204-214 - [c53]Yun Liu, Cheng Yan, Xiao Bai, Jun Zhou:
Cross-Model Retrieval with Reconstruct Hashing. S+SSPR 2018: 386-394 - [c52]Xueni Zhang, Lei Zhou, Xiao Bai, Edwin R. Hancock:
Deep Supervised Hashing with Information Loss. S+SSPR 2018: 395-405 - [e1]Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings. Lecture Notes in Computer Science 11004, Springer 2018, ISBN 978-3-319-97784-3 [contents] - [i3]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. CoRR abs/1803.05657 (2018) - [i2]Dong Wang, Lei Zhou, Xueni Zhang, Xiao Bai, Jun Zhou:
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression. CoRR abs/1803.05729 (2018) - 2017
- [j26]Yun Liu, Chen Wang, Yang Wang, Xiao Bai, Jun Zhou, Lu Bai:
Differential weights-based band selection for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750065:1-1750065:16 (2017) - [j25]Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock:
Quantum kernels for unattributed graphs using discrete-time quantum walks. Pattern Recognit. Lett. 87: 96-103 (2017) - [j24]Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao:
On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(2): 862-880 (2017) - [c51]Cheng Yan, Xiao Bai, Jun Zhou, Yun Liu:
Hierarchical Hashing for Image Retrieval. CCCV (2) 2017: 111-125 - [c50]Chen Wang, Yun Liu, Xiao Bai, Wenzhong Tang, Peng Lei, Jun Zhou:
Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution. ICIG (3) 2017: 370-380 - [c49]Yuan Tian, Cheng Yan, Xiao Bai, Jun Zhou:
Heterogeneous face recognition via grassmannian based nearest subspace search. ICIP 2017: 1077-1081 - [c48]Fan Xu, Xiao Bai, Jun Zhou:
Non-local similarity based tensor decomposition for hyperspectral image denoising. ICIP 2017: 1890-1894 - 2016
- [j23]Lei Liu, Xiao Bai, Huigang Zhang, Jun Zhou, Wenzhong Tang:
Describing and learning of related parts based on latent structural model in big data. Neurocomputing 173: 355-363 (2016) - [j22]Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, Wenzhong Tang, Jun Zhou:
Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(7): 922-925 (2016) - [j21]Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, Wenzhong Tang:
Maximum margin hashing with supervised information. Multim. Tools Appl. 75(7): 3955-3971 (2016) - [j20]Xiao Bai, Cheng Yan, Peng Ren, Lu Bai, Jun Zhou:
Discriminative sparse neighbor coding. Multim. Tools Appl. 75(7): 4013-4037 (2016) - [j19]Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, Yongsheng Gao:
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers. IEEE Trans. Geosci. Remote. Sens. 54(11): 6531-6544 (2016) - [c47]Yanzhen Liu, Xiao Bai, Cheng Yan, Jun Zhou:
Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data. ACCV (5) 2016: 297-310 - [c46]Yanzhen Liu, Xiao Bai, Cheng Yan, Jing Wang, Jun Zhou:
Hashing with Non-Linear Manifold Learning. DICTA 2016: 1-8 - [c45]Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock:
Shape classification with a vertex clustering graph kernel. ICPR 2016: 2634-2639 - [c44]Yu Tang, Enlong Fan, Cheng Yan, Xiao Bai, Jun Zhou:
Discriminative weighted band selection via one-class SVM for hyperspectral imagery. IGARSS 2016: 2765-2768 - [c43]Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock:
P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR 2016: 3-14 - [i1]Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao:
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification. CoRR abs/1605.05829 (2016) - 2015
- [j18]Na Li, Huijie Zhao, Ping Huang, Guorui Jia, Xiao Bai:
A novel logistic multi-class supervised classification model based on multi-fractal spectrum parameters for hyperspectral data. Int. J. Comput. Math. 92(4): 836-849 (2015) - [j17]Xiao Bai, Peng Ren, Huigang Zhang, Jun Zhou:
An incremental structured part model for object recognition. Neurocomputing 154: 189-199 (2015) - [j16]Xiao Bai, Chuntian Liu, Peng Ren, Jun Zhou, Huijie Zhao, Yun Su:
Object Classification via Feature Fusion Based Marginalized Kernels. IEEE Geosci. Remote. Sens. Lett. 12(1): 8-12 (2015) - [j15]Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou:
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2774-2783 (2015) - [c42]Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu:
Online sketching hashing. CVPR 2015: 2503-2511 - [c41]Haoyi Zhou, Xiao Bai, Jun Zhou, Haichuan Yang, Yun Liu:
Learning Graph Model for Different Dimensions Image Matching. GbRPR 2015: 158-167 - [c40]Yanzhen Liu, Xiao Bai, Haichuan Yang, Zhou Jun, Zhihong Zhang:
Isometric Mapping Hashing. GbRPR 2015: 325-334 - [c39]Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, Chunxia Zhao:
Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing. ICIP 2015: 2174-2178 - [c38]Cheng Yan, Xiao Bai, Jun Zhou:
Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification. IGARSS 2015: 1702-1705 - [c37]Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock:
A Graph Kernel Based on the Jensen-Shannon Representation Alignment. IJCAI 2015: 3322-3328 - 2014
- [j14]Qinghua Huang, Xiao Bai, Yingguang Li, Lianwen Jin, Xuelong Li:
Optimized graph-based segmentation for ultrasound images. Neurocomputing 129: 216-224 (2014) - [j13]Xiao Bai, Huigang Zhang, Jun Zhou:
VHR Object Detection Based on Structural Feature Extraction and Query Expansion. IEEE Trans. Geosci. Remote. Sens. 52(10): 6508-6520 (2014) - [j12]Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng:
Data-Dependent Hashing Based on p-Stable Distribution. IEEE Trans. Image Process. 23(12): 5033-5046 (2014) - [c36]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng:
Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR 2014: 1955-1962 - [c35]Lei Tong, Jun Zhou, Xiao Bai, Yongsheng Gao:
Dual Graph Regularized NMF for Hyperspectral Unmixing. DICTA 2014: 1-8 - [c34]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai:
Semi-randomized hashing for large scale data retrieval. DSAA 2014: 53-58 - [c33]Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai, Qingshan Liu, Hanqing Lu:
Discriminative Context Models for Collective Activity Recognition. ICPR 2014: 648-653 - [c32]Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu:
Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. ICPR 2014: 4293-4298 - [c31]Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu:
Learning Binary Codes with Bagging PCA. ECML/PKDD (2) 2014: 177-192 - [c30]Lu Bai, Peng Ren, Xiao Bai, Edwin R. Hancock:
A Graph Kernel from the Depth-Based Representation. S+SSPR 2014: 1-11 - 2013
- [j11]Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng, Hanqing Lu:
Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy. IEEE Geosci. Remote. Sens. Lett. 10(2): 396-400 (2013) - [j10]Biao Niu, Jian Cheng, Xiao Bai, Hanqing Lu:
Asymmetric propagation based batch mode active learning for image retrieval. Signal Process. 93(6): 1639-1650 (2013) - [j9]Huigang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao:
Object Detection Via Structural Feature Selection and Shape Model. IEEE Trans. Image Process. 22(12): 4984-4995 (2013) - [c29]Jie Liang, Jun Zhou, Xiao Bai, Yuntao Qian:
Salient object detection in hyperspectral imagery. ICIP 2013: 2393-2397 - [c28]Haichuan Yang, Xiao Bai, Chuntian Liu, Jun Zhou:
Label propagation hashing based on p-stable distribution and coordinate descent. ICIP 2013: 2674-2678 - [c27]Zhouxiao Guo, Xiao Bai, Zhihong Zhang, Jun Zhou:
A hypergraph based semi-supervised band selection method for hyperspectral image classification. ICIP 2013: 3137-3141 - [c26]Chuntian Liu, Wei Wei, Xiao Bai, Jun Zhou:
Marginalized kernel-based feature fusion method for VHR object classification. IGARSS 2013: 216-219 - [c25]Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou:
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. IGARSS 2013: 1474-1477 - 2012
- [j8]Shang Liu, Xiao Bai:
Discriminative features for image classification and retrieval. Pattern Recognit. Lett. 33(6): 744-751 (2012) - [c24]Huigang Zhang, Junxiu Wang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao:
Object detection via foreground contour feature selection and part-based shape model. ICPR 2012: 2524-2527 - [c23]Zhihong Zhang, Edwin R. Hancock, Xiao Bai:
Hypergraph Spectra for Semi-supervised Feature Selection. ECML/PKDD (1) 2012: 207-222 - [c22]Huigang Zhang, Xiao Bai, Jian Cheng, Jun Zhou, Huijie Zhao:
An Incremental Structured Part Model for Image Classification. SSPR/SPR 2012: 483-491 - 2011
- [j7]Xiao Bai, Yi-Zhe Song, Peter M. Hall:
Learning invariant structure for object identification by using graph methods. Comput. Vis. Image Underst. 115(7): 1023-1031 (2011) - [j6]Yi-Zhe Song, Xiao Bai, Peter M. Hall, Liang Wang:
In Search of Perceptually Salient Groupings. IEEE Trans. Image Process. 20(4): 935-947 (2011) - [c21]Shang Liu, Xiao Bai:
Discriminative Features for Image Classification and Retrieval. ICIG 2011: 325-330 - [c20]Huaxin Zheng, Huigang Zhang, Xiao Bai, Huijie Zhao:
Query expansion for VHR image detection. IGARSS 2011: 205-208 - [c19]Zhao Meng, Xiao Bai:
High-resolution satellite image classification and segmentation using Laplacian graph energy. IGARSS 2011: 605-608 - [c18]Huaxin Zheng, Xiao Bai, Huijie Zhao:
A novel approach for satellite image classification using local self-similarity. IGARSS 2011: 2888-2891 - 2010
- [j5]Xiao Bai, Edwin R. Hancock, Hang Yu:
Manifold embedding for shape analysis. Neurocomputing 73(10-12): 1606-1613 (2010) - [j4]Xiao Bai, Edwin R. Hancock, Richard C. Wilson:
Geometric characterization and clustering of graphs using heat kernel embeddings. Image Vis. Comput. 28(6): 1003-1021 (2010)
2000 – 2009
- 2009
- [j3]Xiao Bai, Edwin R. Hancock, Richard C. Wilson:
A generative model for graph matching and embedding. Comput. Vis. Image Underst. 113(7): 777-789 (2009) - [j2]Xiao Bai, Edwin R. Hancock, Richard C. Wilson:
Graph characteristics from the heat kernel trace. Pattern Recognit. 42(11): 2589-2606 (2009) - 2008
- [j1]Xiao Bai, Andrea Torsello, Edwin R. Hancock:
Isotree: Tree clustering via metric embedding. Neurocomputing 71(10-12): 2029-2036 (2008) - [c17]Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Object recognition using graph spectral invariants. ICPR 2008: 1-4 - [c16]Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Quantitative Evaluation on Heat Kernel Permutation Invariants. SSPR/SPR 2008: 217-226 - [c15]Xiao Bai, Yi-Zhe Song, Anupriya Balikai, Peter M. Hall:
Structure Is a Visual Class Invariant. SSPR/SPR 2008: 329-338 - 2007
- [b1]Xiao Bai:
Heat kernel analysis on graphs. University of York, UK, 2007 - [c14]Xiao Bai, Yi-Zhe Song, Peter M. Hall:
Learning Object Classes from Structure. BMVC 2007: 1-10 - 2006
- [c13]Xiao Bai, Edwin R. Hancock:
A Spectral Generative Model for Graph Structure. SSPR/SPR 2006: 173-181 - [c12]Xiao Bai, Edwin R. Hancock:
Trace Formula Analysis of Graphs. SSPR/SPR 2006: 306-313 - 2005
- [c11]Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Characterising Graphs using the Heat Kernel. BMVC 2005 - [c10]Xiao Bai, Edwin R. Hancock:
Recent Results on Heat Kernel Embedding of Graphs. GbRPR 2005: 373-382 - [c9]Xiao Bai, Edwin R. Hancock:
Graph Clustering Using Heat Content Invariants. IbPRIA (2) 2005: 123-130 - [c8]Xiao Bai, Edwin R. Hancock:
Geometric Characterisation of Graphs. ICIAP 2005: 471-478 - [c7]Xiao Bai, Edwin R. Hancock:
Clustering shapes using heat content invariants. ICIP (1) 2005: 1169-1172 - [c6]Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Manifold Embedding of Graphs Using the Heat Kernel. IMA Conference on the Mathematics of Surfaces 2005: 34-49 - 2004
- [c5]Xiao Bai, Hang Yu, Edwin R. Hancock:
Graph Matching using Spectral Embedding and Semidefinite Programming. BMVC 2004: 1-10 - [c4]Xiao Bai, Hang Yu, Edwin R. Hancock:
Graph Matching Using Manifold Embedding. ICIAR (1) 2004: 352-359 - [c3]Xiao Bai, Hang Yu, Edwin R. Hancock:
Graph Matching using Spectral Embedding and Alignment. ICPR (3) 2004: 398-401 - [c2]Xiao Bai, Edwin R. Hancock:
Heat Kernels, Manifolds and Graph Embedding. SSPR/SPR 2004: 198-206 - 2003
- [c1]Edwin R. Hancock, Richard C. Wilson, Xiao Bai:
Graph Clustering using Symmetric Polynomials and Local Linear Embedding. BMVC 2003: 1-10
Coauthor Index
Edwin R. Hancock
aka: Edwin Robert Hancock
aka: Edwin Robert Hancock
[j87] [j82] [j77] [j71] [j66] [j59] [c76] [c75] [i12] [j45] [j42] [j41] [j39] [c67] [c66] [i7] [j36] [j35] [j33] [c64] [c60] [c59] [j30] [c56] [c52] [e1] [i3] [j25] [c45] [c43] [c37] [c30] [c23] [j5] [j4] [j3] [j2] [j1] [c17] [c16] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j85] [j82] [c86] [c85] [i27] [i24] [j71] [j67] [j66] [c78] [i18] [j62] [j61] [j59] [j55] [j53] [c76] [c75] [i12] [j46] [c74] [i11] [j45] [j39] [c68] [c66] [c65] [i8] [j35] [j34] [j32] [c62] [c61] [c60] [c59] [i6] [i5] [j30] [j29] [j28] [c57] [c56] [c54] [c53] [i3] [i2] [j26] [j24] [c51] [c50] [c49] [c48] [j23] [j22] [j21] [j20] [j19] [c47] [c46] [c44] [i1] [j17] [j16] [j15] [c41] [c39] [c38] [j13] [j12] [c36] [c35] [c34] [j11] [j9] [c29] [c28] [c27] [c26] [c25] [c24] [c22]
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