Xiantong Zhen

According to our database, Xiantong Zhen authored at least 145 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder.

Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li, Shengyong Chen, Yingjun Du, Xiantong Zhen, Honghai Liu

IEEE Trans. Cybern., April, 2024

MetaKernel: Learning Variational Random Features With Limited Labels.

Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Variational Neuron Shifting for Few-Shot Image Classification Across Domains.

Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Xiantong Zhen

IEEE Trans. Multim., 2024

Weakly-Supervised RGBD Video Object Segmentation.

Jinyu Yang, Mingqi Gao, Feng Zheng, Xiantong Zhen, Rongrong Ji, Ling Shao, Ales Leonardis

IEEE Trans. Image Process., 2024

2023

Continuous cross-modal hashing.

Hao Zheng, Jinbao Wang, Xiantong Zhen, Jingkuan Song, Feng Zheng, Ke Lu, Guo-Jun Qi

Pattern Recognit., October, 2023

Attentional prototype inference for few-shot segmentation.

Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

Pattern Recognit., October, 2023

Latent Domain Generation for Unsupervised Domain Adaptation Object Counting.

Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao

IEEE Trans. Multim., 2023

Learning to Learn With Variational Inference for Cross-Domain Image Classification.

Lei Zhang, Yingjun Du, Jiayi Shen, Xiantong Zhen

IEEE Trans. Multim., 2023

Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples.

Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng

CoRR, 2023

Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports.

Tom van Sonsbeek, Xiantong Zhen, Marcel Worring

CoRR, 2023

Learning Variational Neighbor Labels for Test-Time Domain Generalization.

Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

CoRR, 2023

Lightweight Improved Residual Network for Efficient Inverse Tone Mapping.

Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu

CoRR, 2023

CageViT: Convolutional Activation Guided Efficient Vision Transformer.

Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng Zheng

CoRR, 2023

Parameter-Free Channel Attention for Image Classification and Super-Resolution.

Yuxuan Shi, Lingxiao Yang, Wangpeng An, Xiantong Zhen, Liuqing Wang

CoRR, 2023

Probabilistic Integration of Object Level Annotations in Chest X-ray Classification.

Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Episodic Multi-Task Learning with Heterogeneous Neural Processes.

Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks.

Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek

Proceedings of the International Conference on Machine Learning, 2023

Energy-Based Test Sample Adaptation for Domain Generalization.

Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning.

Ivona Najdenkoska, Xiantong Zhen, Marcel Worring

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples.

Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models.

Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Order-preserving Consistency Regularization for Domain Adaptation and Generalization.

Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension.

Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Implicit Diffusion Models for Continuous Super-Resolution.

Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail.

Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EMO: Episodic Memory Optimization for Few-Shot Meta-Learning.

Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

Proceedings of the Conference on Lifelong Learning Agents, 2023

Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays.

Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Memory Attention Networks for Skeleton-Based Action Recognition.

Ce Li, Chunyu Xie, Baochang Zhang, Jungong Han, Xiantong Zhen, Jie Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Variational Abnormal Behavior Detection With Motion Consistency.

Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao

IEEE Trans. Image Process., 2022

Variational Hyperparameter Inference for Few-Shot Learning Across Domains.

Lei Zhang, Liyun Zuo, Baoyan Wang, Xin Li, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2022

Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting.

Anran Zhang, Jun Xu, Xiaoyan Luo, Xianbin Cao, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2022

Spherical Zero-Shot Learning.

Jiayi Shen, Zehao Xiao, Xiantong Zhen, Lei Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer.

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

Medical Image Anal., 2022

Uncertainty-aware report generation for chest X-rays by variational topic inference.

Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao

Medical Image Anal., 2022

Attentive encoder-decoder networks for crowd counting.

Xuhui Liu, Yutao Hu, Baochang Zhang, Xiantong Zhen, Xiaoyan Luo, Xianbin Cao

Neurocomputing, 2022

Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark.

Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng

CoRR, 2022

Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion.

Jin Liang, Anran Zhang, Jun Xu, Hui Li, Xiantong Zhen

CoRR, 2022

Association Graph Learning for Multi-Task Classification with Category Shifts.

Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Variational Model Perturbation for Source-Free Domain Adaptation.

Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LifeLonger: A Benchmark for Continual Disease Classification.

Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning to Generalize across Domains on Single Test Samples.

Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

Proceedings of the Tenth International Conference on Learning Representations, 2022

Hierarchical Variational Memory for Few-shot Learning Across Domains.

Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Pixel-Level Non-local Image Smoothing With Objective Evaluation.

Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng

IEEE Trans. Multim., 2021

Learning to Adapt With Memory for Probabilistic Few-Shot Learning.

Lei Zhang, Liyun Zuo, Ying-Jun Du, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2021

Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization.

Yutao Hu, Yandan Yang, Jun Zhang, Xianbin Cao, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2021

Deep 3D human pose estimation: A review.

Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, Ling Shao

Comput. Vis. Image Underst., 2021

Generative Kernel Continual learning.

Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

CoRR, 2021

Multi-Task Neural Processes.

Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao

CoRR, 2021

Attentional Prototype Inference for Few-Shot Semantic Segmentation.

Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

CoRR, 2021

Variational Prototype Inference for Few-Shot Semantic Segmentation.

Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning to Learn Dense Gaussian Processes for Few-Shot Learning.

Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Multi-Task Learning with Gumbel-Softmax Priors.

Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Hierarchical Embedding for Video Instance Segmentation.

Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Variational Topic Inference for Chest X-Ray Report Generation.

Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Variational Knowledge Distillation for Disease Classification in Chest X-Rays.

Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao

Proceedings of the Information Processing in Medical Imaging, 2021

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty.

Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek

Proceedings of the 38th International Conference on Machine Learning, 2021

Kernel Continual Learning.

Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek

Proceedings of the 38th International Conference on Machine Learning, 2021

MetaNorm: Learning to Normalize Few-Shot Batches Across Domains.

Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

Proceedings of the 9th International Conference on Learning Representations, 2021

Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation.

Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation.

Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

The Structure Transfer Machine Theory and Applications.

Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen

IEEE Trans. Image Process., 2020

Conditional Variational Image Deraining.

Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao

IEEE Trans. Image Process., 2020

Calibrated Multivariate Regression Networks.

Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2020

Heterogenous output regression network for direct face alignment.

Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao

Pattern Recognit., 2020

Model-Agnostic Metric for Zero-Shot Learning.

Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Variational Image Deraining.

Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning to Learn Variational Semantic Memory.

Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks.

Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Transductive Relation-Propagation Network for Few-shot Learning.

Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning to Learn Kernels with Variational Random Features.

Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

Proceedings of the 37th International Conference on Machine Learning, 2020

You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network.

Haochen Wang, Yandan Yang, Xiaolong Jiang, Xianbin Cao, Xiantong Zhen

Proceedings of the IEEE International Conference on Image Processing, 2020

Few-Shot Semantic Segmentation with Democratic Attention Networks.

Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Learn with Variational Information Bottleneck for Domain Generalization.

Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Ensemble Machine for Video Classification.

Jiewan Zheng, Xianbin Cao, Baochang Zhang, Xiantong Zhen, Xiangbo Su

IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Match Kernels on Grassmann Manifolds for Action Recognition.

Lei Zhang, Xiantong Zhen, Ling Shao, Jingkuan Song

IEEE Trans. Image Process., 2019

Gaussian Transfer Convolutional Neural Networks.

Hongren Wang, Ce Li, Xiantong Zhen, Wankou Yang, Baochang Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features.

Shuman Tian, Xianbin Cao, Yan Li, Xiantong Zhen, Baochang Zhang

IEEE Trans. Circuits Syst. Video Technol., 2019

Long-Short-Term Features for Dynamic Scene Classification.

Yuanjun Huang, Xianbin Cao, Qi Wang, Baochang Zhang, Xiantong Zhen, Xuelong Li

IEEE Trans. Circuits Syst. Video Technol., 2019

Attentional Information Fusion Networks for Cross-Scene Power Line Detection.

Yan Li, Zehao Xiao, Xiantong Zhen, Xianbin Cao

IEEE Geosci. Remote. Sens. Lett., 2019

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking.

Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen

CoRR, 2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao

CoRR, 2019

Cosine Activation in Compact Network (CACN): Application to Scene Classification.

Lei Zhang, Xin Li, Zhiping Jian, Wei Zhang, Xiantong Zhen

IEEE Access, 2019

Starts Better and Ends Better: A Target Adaptive Image Signature Tracker.

Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Multi-Scale Aggregation Network for Direct Face Alignment.

Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Model-Free Tracking With Deep Appearance and Motion Features Integration.

Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks.

Haoliang Sun, Xiantong Zhen, Yilong Yin

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Two-Stream Multi-Task Network for Fashion Recognition.

Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Attentional Neural Fields for Crowd Counting.

Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Relational Attention Network for Crowd Counting.

Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attentive Temporal Pyramid Network for Dynamic Scene Classification.

Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multitarget Sparse Latent Regression.

Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David T. Laidley, Shuo Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Stream Convolutional Neural Network for SAR Automatic Target Recognition.

Pengfei Zhao, Kai Liu, Hao Zou, Xiantong Zhen

Remote. Sens., 2018

Multi-Target Regression via Robust Low-Rank Learning.

Xiantong Zhen, Mengyang Yu, Xiaofei He, Shuo Li

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.

Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang

Neuroinformatics, 2018

Deep appearance and motion learning for egocentric activity recognition.

Xuanhan Wang, Lianli Gao, Jingkuan Song, Xiantong Zhen, Nicu Sebe, Heng Tao Shen

Neurocomputing, 2018

The Structure Transfer Machine Theory and Applications.

Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen

CoRR, 2018

Spatial Ensemble Kernel Learning for Scene Classification.

Lei Zhang, Xiantong Zhen, Qiujing Zhang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Direct Shape Regression Networks for End-to-End Face Alignment.

Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Attentional Alignment Networks.

Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018

In Defense of Single-column Networks for Crowd Counting.

Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018

Deep Collaborative Tracking Networks.

Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression.

Xiantong Zhen, Mengyang Yu, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li

IEEE Trans. Neural Networks Learn. Syst., 2017

Supervised Local Descriptor Learning for Human Action Recognition.

Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu

IEEE Trans. Multim., 2017

Real-time visual tracking based on improved perceptual hashing.

Mengjuan Fei, Zhaojie Ju, Xiantong Zhen, Jing Li

Multim. Tools Appl., 2017

Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression.

Xiantong Zhen, Heye Zhang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li

Medical Image Anal., 2017

Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression.

Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li

Proceedings of the Information Processing in Medical Imaging, 2017

Learning discriminant grassmann kernels for image-set classification.

Lei Zhang, Wenhui Liu, Xuezhi Xiang, Yan Sun, Xiantong Zhen

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Realistic human action recognition: When CNNS meet LDS.

Lei Zhang, Yangyang Feng, Xuezhi Xiang, Xiantong Zhen

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning Deep Match Kernels for Image-Set Classification.

Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Local Feature Discriminant Projection.

Mengyang Yu, Ling Shao, Xiantong Zhen, Xiaofei He

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.

Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li

Medical Image Anal., 2016

Handcrafted vs. learned representations for human action recognition.

Xiantong Zhen, Ling Shao, Stephen J. Maybank, Rama Chellappa

Image Vis. Comput., 2016

Action recognition via spatio-temporal local features: A comprehensive study.

Xiantong Zhen, Ling Shao

Image Vis. Comput., 2016

Spatial and temporal scoring for egocentric video summarization.

Zhao Guo, Lianli Gao, Xiantong Zhen, Fuhao Zou, Fumin Shen, Kai Zheng

Neurocomputing, 2016

Multi-task Shape Regression for Medical Image Segmentation.

Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Towards optimal vlad for human action recognition from still images.

Lei Zhang, Xiantong Zhen, Jiqing Han

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Realistic human action recognition: When deep learning meets VLAD.

Lei Zhang, Yangyang Feng, Jiqing Han, Xiantong Zhen

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Correction to "Regression Segmentation for M³ Spinal Images".

Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li

IEEE Trans. Medical Imaging, 2015

Regression Segmentation for M³ Spinal Images.

Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li

IEEE Trans. Medical Imaging, 2015

Towards Direct Medical Image Analysis without Segmentation.

Xiantong Zhen, Shuo Li

CoRR, 2015

Direct volume estimation without segmentation.

Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression.

Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Dimensionality reduction by supervised locality analysis.

Lei Zhang, Peipei Peng, Xuezhi Xiang, Xiantong Zhen

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Supervised descriptor learning for multi-output regression.

Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Object-to-Class Kernels for Scene Classification.

Lei Zhang, Xiantong Zhen, Ling Shao

IEEE Trans. Image Process., 2014

Spatio-Temporal Laplacian Pyramid Coding for Action Recognition.

Ling Shao, Xiantong Zhen, Dacheng Tao, Xuelong Li

IEEE Trans. Cybern., 2014

Robust point pattern matching based on spectral context.

Jun Tang, Ling Shao, Xiantong Zhen

Pattern Recognit., 2014

Action recognition by spatio-temporal oriented energies.

Xiantong Zhen, Ling Shao, Xuelong Li

Inf. Sci., 2014

Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests.

Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Performance Evaluation on Action Recognition with Local Features.

Xiantong Zhen, Ling Shao

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning semantic kernels for scene classification.

Lei Zhang, Xiantong Zhen, Jiqing Han, Xuezhi Xiang

Proceedings of the IEEE International Conference on Acoustics, 2014

Discriminative Embedding via Image-to-Class Distances.

Xiantong Zhen, Ling Shao, Feng Zheng

Proceedings of the British Machine Vision Conference, 2014

2013

Feature extraction and representation for human action recognition.

Xiantong Zhen

PhD thesis, 2013

Learning Discriminative Key Poses for Action Recognition.

Li Liu, Ling Shao, Xiantong Zhen, Xuelong Li

IEEE Trans. Cybern., 2013

Embedding Motion and Structure Features for Action Recognition.

Xiantong Zhen, Ling Shao, Dacheng Tao, Xuelong Li

IEEE Trans. Circuits Syst. Video Technol., 2013

A local descriptor based on Laplacian pyramid coding for action recognition.

Xiantong Zhen, Ling Shao

Pattern Recognit. Lett., 2013

Combining appearance and structural features for human action recognition.

Dongjie Zhao, Ling Shao, Xiantong Zhen, Yan Liu

Neurocomputing, 2013

Discriminative high-level representations for scene classification.

Lei Zhang, Shouzhi Xie, Xiantong Zhen

Proceedings of the IEEE International Conference on Image Processing, 2013

Recognizing actions via sparse coding on structure projection.

Lei Zhang, Tao Wang, Xiantong Zhen

Proceedings of the IEEE International Conference on Image Processing, 2013

Towards optimal object bank for scene classification.

Lei Zhang, Shouzhi Xie, Xiantong Zhen

Proceedings of the IEEE International Conference on Acoustics, 2013

Spatio-temporal steerable pyramid for human action recognition.

Xiantong Zhen, Ling Shao

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Human Action Retrieval via efficient feature matching.

Jun Tang, Ling Shao, Xiantong Zhen

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

High order co-occurrence of visualwords for action recognition.

Lei Zhang, Xiantong Zhen, Ling Shao

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Human action representation using pyramid correlogram of oriented gradients on motion history images.

Ling Shao, Xiantong Zhen, Yan Liu, Ling Ji

Int. J. Comput. Math., 2011