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Xiantong Zhen
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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]