default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j87]Xiang Wang, Haonan Luo, Zihang Wang, Jin Zheng, Xiao Bai:
Robust training for multi-view stereo networks with noisy labels. Displays 81: 102604 (2024)- [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [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) - [c89]Ruohuan Fang, Guansong Pang, Xiao Bai:
Simple Image-Level Classification Improves Open-Vocabulary Object Detection. AAAI 2024: 1716-1725 - [c88]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 - [c87]Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng:
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CVPR 2024: 17584-17594 - [c86]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 - [c85]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 - [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 - [i25]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) - [i24]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) - [i23]Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng:
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CoRR abs/2404.03248 (2024) - [i22]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) - [i21]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) - [i20]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) - 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
[j83] [c85] [i25] [i22] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 22:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
