Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiantong Zhen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j48]Xuhui Liu, Yutao Hu, Baochang Zhang, Xiantong Zhen, Xiaoyan Luo, Xianbin Cao:
Attentive encoder-decoder networks for crowd counting. Neurocomputing 490: 246-257 (2022)- [j47]Tim Ottens
, Sebastiano Barbieri, Matthew R. Orton, Remy Klaassen, Hanneke W. M. van Laarhoven, Hans Crezee, Aart J. Nederveen, Xiantong Zhen, Oliver J. Gurney-Champion:
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer. Medical Image Anal. 80: 102512 (2022) - [j46]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Anal. 82: 102603 (2022) - [j45]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Lei Zhang:
Spherical Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(2): 634-645 (2022) - [j44]Anran Zhang, Jun Xu, Xiaoyan Luo, Xianbin Cao, Xiantong Zhen:
Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6686-6699 (2022) - [j43]Lei Zhang, Liyun Zuo, Baoyan Wang, Xin Li, Xiantong Zhen:
Variational Hyperparameter Inference for Few-Shot Learning Across Domains. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7448-7459 (2022) - [j42]Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao:
Variational Abnormal Behavior Detection With Motion Consistency. IEEE Trans. Image Process. 31: 275-286 (2022) - [j41]Ce Li, Chunyu Xie, Baochang Zhang, Jungong Han, Xiantong Zhen, Jie Chen:
Memory Attention Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4800-4814 (2022) - [c58]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR 2022 - [c57]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. ICLR 2022 - [c56]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. MICCAI (2) 2022: 314-324 - [i31]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. CoRR abs/2202.08045 (2022) - [i30]Jin Liang, Anran Zhang, Jun Xu, Hui Li, Xiantong Zhen:
Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion. CoRR abs/2203.03624 (2022) - [i29]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. CoRR abs/2204.05737 (2022) - [i28]Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. CoRR abs/2207.03367 (2022) - [i27]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek, Marcel Worring:
Association Graph Learning for Multi-Task Classification with Category Shifts. CoRR abs/2210.04637 (2022) - [i26]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. CoRR abs/2210.06980 (2022) - [i25]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR abs/2210.10378 (2022) - 2021
- [j40]Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, Ling Shao:
Deep 3D human pose estimation: A review. Comput. Vis. Image Underst. 210: 103225 (2021) - [j39]Yutao Hu, Yandan Yang, Jun Zhang, Xianbin Cao, Xiantong Zhen:
Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization. IEEE Trans. Circuits Syst. Video Technol. 31(1): 301-314 (2021) - [j38]Lei Zhang, Liyun Zuo, Ying-Jun Du, Xiantong Zhen:
Learning to Adapt With Memory for Probabilistic Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4283-4292 (2021) - [j37]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [c55]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. ACL/IJCNLP (1) 2021: 5254-5268 - [c54]Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. ICCV 2021: 6900-6909 - [c53]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR 2021 - [c52]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek:
Kernel Continual Learning. ICML 2021: 2621-2631 - [c51]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. ICML 2021: 11351-11361 - [c50]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI 2021: 334-345 - [c49]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. MICCAI (3) 2021: 625-635 - [c48]Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin:
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia 2021: 1884-1892 - [c47]Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu:
Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS 2021: 13230-13241 - [c46]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. NeurIPS 2021: 21031-21042 - [c45]Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao:
Variational Prototype Inference for Few-Shot Semantic Segmentation. WACV 2021: 525-534 - [i24]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR abs/2103.10825 (2021) - [i23]Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR abs/2105.03781 (2021) - [i22]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR abs/2105.04030 (2021) - [i21]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR abs/2105.06668 (2021) - [i20]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR abs/2106.02960 (2021) - [i19]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Kernel Continual Learning. CoRR abs/2107.05757 (2021) - [i18]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. CoRR abs/2107.07314 (2021) - [i17]Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. CoRR abs/2108.13393 (2021) - [i16]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. CoRR abs/2111.05323 (2021) - [i15]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Multi-Task Neural Processes. CoRR abs/2111.05820 (2021) - [i14]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR abs/2112.08181 (2021) - [i13]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Generative Kernel Continual learning. CoRR abs/2112.13410 (2021) - 2020
- [j36]Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao:
Heterogenous output regression network for direct face alignment. Pattern Recognit. 105: 107311 (2020) - [j35]Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen:
Calibrated Multivariate Regression Networks. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4222-4231 (2020) - [j34]Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. IEEE Trans. Image Process. 29: 2889-2902 (2020) - [j33]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [c44]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c43]Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen:
Few-Shot Semantic Segmentation with Democratic Attention Networks. ECCV (13) 2020: 730-746 - [c42]Haochen Wang, Yandan Yang, Xiaolong Jiang, Xianbin Cao, Xiantong Zhen:
You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network. ICIP 2020: 1496-1500 - [c41]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. ICML 2020: 11409-11419 - [c40]Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu:
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI 2020: 804-810 - [c39]Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo:
Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. ACM Multimedia 2020: 3007-3015 - [c38]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [c37]Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
Model-Agnostic Metric for Zero-Shot Learning. WACV 2020: 775-784 - [c36]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i12]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i11]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i10]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i9]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020) - [i8]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. CoRR abs/2012.12626 (2020)
2010 – 2019
- 2019
- [j32]Lei Zhang, Xin Li, Zhiping Jian, Wei Zhang, Xiantong Zhen:
Cosine Activation in Compact Network (CACN): Application to Scene Classification. IEEE Access 7: 101855-101864 (2019) - [j31]Yan Li, Zehao Xiao, Xiantong Zhen, Xianbin Cao:
Attentional Information Fusion Networks for Cross-Scene Power Line Detection. IEEE Geosci. Remote. Sens. Lett. 16(10): 1635-1639 (2019) - [j30]Yuanjun Huang, Xianbin Cao, Qi Wang, Baochang Zhang, Xiantong Zhen, Xuelong Li:
Long-Short-Term Features for Dynamic Scene Classification. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1038-1047 (2019) - [j29]Shuman Tian, Xianbin Cao, Yan Li, Xiantong Zhen, Baochang Zhang:
Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2748-2759 (2019) - [j28]Hongren Wang, Ce Li, Xiantong Zhen, Wankou Yang, Baochang Zhang:
Gaussian Transfer Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 360-368 (2019) - [j27]Lei Zhang, Xiantong Zhen, Ling Shao, Jingkuan Song:
Learning Match Kernels on Grassmann Manifolds for Action Recognition. IEEE Trans. Image Process. 28(1): 205-215 (2019) - [j26]Jiewan Zheng, Xianbin Cao, Baochang Zhang, Xiantong Zhen, Xiangbo Su:
Deep Ensemble Machine for Video Classification. IEEE Trans. Neural Networks Learn. Syst. 30(2): 553-565 (2019) - [c35]Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han:
Attentive Temporal Pyramid Network for Dynamic Scene Classification. AAAI 2019: 8497-8504 - [c34]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. CVPR 2019: 6133-6142 - [c33]Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Attentional Neural Fields for Crowd Counting. ICCV 2019: 5713-5722 - [c32]Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Relational Attention Network for Crowd Counting. ICCV 2019: 6787-6796 - [c31]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. ICIP 2019: 3038-3042 - [c30]Haoliang Sun, Xiantong Zhen, Yilong Yin:
Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. ICIP 2019: 4554-4558 - [c29]Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-Free Tracking With Deep Appearance and Motion Features Integration. WACV 2019: 101-110 - [c28]Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye:
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. WACV 2019: 171-178 - [c27]Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao:
Multi-Scale Aggregation Network for Direct Face Alignment. WACV 2019: 2156-2165 - [i7]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. CoRR abs/1901.10172 (2019) - [i6]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. CoRR abs/1903.00853 (2019) - [i5]Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen:
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR abs/1907.05315 (2019) - 2018
- [j25]Xuanhan Wang, Lianli Gao, Jingkuan Song, Xiantong Zhen, Nicu Sebe, Heng Tao Shen:
Deep appearance and motion learning for egocentric activity recognition. Neurocomputing 275: 438-447 (2018) - [j24]Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang:
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics 16(3-4): 285-294 (2018) - [j23]Xiantong Zhen, Mengyang Yu, Xiaofei He, Shuo Li:
Multi-Target Regression via Robust Low-Rank Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 497-504 (2018) - [j22]Pengfei Zhao, Kai Liu, Hao Zou, Xiantong Zhen:
Multi-Stream Convolutional Neural Network for SAR Automatic Target Recognition. Remote. Sens. 10(9): 1473 (2018) - [j21]Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David T. Laidley, Shuo Li:
Multitarget Sparse Latent Regression. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1575-1586 (2018) - [c26]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. BMVC 2018: 78 - [c25]Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao:
Deep Collaborative Tracking Networks. BMVC 2018: 87 - [c24]Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao:
Attentional Alignment Networks. BMVC 2018: 208 - [c23]Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang:
Direct Shape Regression Networks for End-to-End Face Alignment. CVPR 2018: 5040-5049 - [c22]Lei Zhang, Xiantong Zhen, Qiujing Zhang:
Spatial Ensemble Kernel Learning for Scene Classification. ICASSP 2018: 1303-1307 - [i4]Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. CoRR abs/1804.00243 (2018) - [i3]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. CoRR abs/1808.06133 (2018) - [i2]Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-free Tracking with Deep Appearance and Motion Features Integration. CoRR abs/1812.06418 (2018) - 2017
- [j20]Xiantong Zhen, Heye Zhang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression. Medical Image Anal. 36: 184-196 (2017) - [j19]Mengjuan Fei, Zhaojie Ju, Xiantong Zhen, Jing Li:
Real-time visual tracking based on improved perceptual hashing. Multim. Tools Appl. 76(3): 4617-4634 (2017) - [j18]Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu:
Supervised Local Descriptor Learning for Human Action Recognition. IEEE Trans. Multim. 19(9): 2056-2065 (2017) - [j17]Xiantong Zhen, Mengyang Yu, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2035-2047 (2017) - [c21]Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li:
Learning Deep Match Kernels for Image-Set Classification. CVPR 2017: 6240-6249 - [c20]Lei Zhang, Yangyang Feng, Xuezhi Xiang, Xiantong Zhen:
Realistic human action recognition: When CNNS meet LDS. ICASSP 2017: 1622-1626 - [c19]Lei Zhang, Wenhui Liu, Xuezhi Xiang, Yan Sun, Xiantong Zhen:
Learning discriminant grassmann kernels for image-set classification. ICIP 2017: 4477-4481 - [c18]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. IPMI 2017: 529-540 - 2016
- [j16]Zhao Guo, Lianli Gao, Xiantong Zhen, Fuhao Zou, Fumin Shen, Kai Zheng:
Spatial and temporal scoring for egocentric video summarization. Neurocomputing 208: 299-308 (2016) - [j15]Xiantong Zhen, Ling Shao:
Action recognition via spatio-temporal local features: A comprehensive study. Image Vis. Comput. 50: 1-13 (2016) - [j14]Xiantong Zhen, Ling Shao, Stephen J. Maybank, Rama Chellappa:
Handcrafted vs. learned representations for human action recognition. Image Vis. Comput. 55: 39-41 (2016) - [j13]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation. Medical Image Anal. 30: 120-129 (2016) - [j12]Mengyang Yu, Ling Shao, Xiantong Zhen, Xiaofei He:
Local Feature Discriminant Projection. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1908-1914 (2016) - [c17]Lei Zhang, Yangyang Feng, Jiqing Han, Xiantong Zhen:
Realistic human action recognition: When deep learning meets VLAD. ICASSP 2016: 1352-1356 - [c16]Lei Zhang, Xiantong Zhen, Jiqing Han:
Towards optimal vlad for human action recognition from still images. ICASSP 2016: 1841-1845 - [c15]Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li:
Multi-task Shape Regression for Medical Image Segmentation. MICCAI (3) 2016: 210-218 - 2015
- [j11]Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li:
Regression Segmentation for M3 Spinal Images. IEEE Trans. Medical Imaging 34(8): 1640-1648 (2015) - [j10]Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li:
Correction to "Regression Segmentation for M3 Spinal Images". IEEE Trans. Medical Imaging 34(9): 1989 (2015) - [c14]Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li:
Supervised descriptor learning for multi-output regression. CVPR 2015: 1211-1218 - [c13]Lei Zhang, Peipei Peng, Xuezhi Xiang, Xiantong Zhen:
Dimensionality reduction by supervised locality analysis. ICIP 2015: 1488-1492 - [c12]Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. MICCAI (1) 2015: 669-676 - [c11]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct volume estimation without segmentation. Medical Imaging: Image Processing 2015: 94132G - [i1]Xiantong Zhen, Shuo Li:
Towards Direct Medical Image Analysis without Segmentation. CoRR abs/1510.06375 (2015) - 2014
- [j9]Xiantong Zhen, Ling Shao, Xuelong Li:
Action recognition by spatio-temporal oriented energies. Inf. Sci. 281: 295-309 (2014) - [j8]