Xiantong Zhen

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 155

Top Venues

CoRR

IEEE Trans. Circuits Syst. Video Technol.

WACV

NeurIPS

University of Sheffield, UK (PHD)

Education History

University of Sheffield, UK

PHD

Publications

Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Xiantong Zhen
Variational Neuron Shifting for Few-Shot Image Classification Across Domains. IEEE Trans. Multim. 26 (2024)
Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek
Energy-Based Test Sample Adaptation for Domain Generalization. CoRR (2023)
Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring
Episodic Multi-Task Learning with Heterogeneous Neural Processes. NeurIPS (2023)
Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek
Energy-Based Test Sample Adaptation for Domain Generalization. ICLR (2023)
Wenfang Sun, Ying-Jun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. CoRR (2023)
Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. ICML (2023)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. CoRR (2023)
Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. BIBM (2023)
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142 (2023)
Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. WACV (2023)
Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CoRR (2023)
Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CVPR (2023)
Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. CoRR (2023)
Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Trans. Multim. 25 (2023)
Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. CoRR (2023)
Lei Zhang, Yingjun Du, Jiayi Shen, Xiantong Zhen
Learning to Learn With Variational Inference for Cross-Domain Image Classification. IEEE Trans. Multim. 25 (2023)
Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
Implicit Diffusion Models for Continuous Super-Resolution. CVPR (2023)
Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. EACL (Findings) (2023)
Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. CoRR (2023)
Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoLLAs (2023)
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. ICLR (2023)
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. CoRR (2023)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. ICCV (2023)
Hao Zheng, Jinbao Wang, Xiantong Zhen, Jingkuan Song, Feng Zheng, Ke Lu, Guo-Jun Qi
Continuous cross-modal hashing. Pattern Recognit. 142 (2023)
Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng Zheng
CageViT: Convolutional Activation Guided Efficient Vision Transformer. CoRR (2023)
Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring
Episodic Multi-Task Learning with Heterogeneous Neural Processes. CoRR (2023)
Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. ICCV (2023)
Yingjun Du, Jiayi Shen, Xiantong Zhen, Cee G. M. Snoek
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoRR (2023)
Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. ICCV (2023)
Yuxuan Shi, Lingxiao Yang, Wangpeng An, Xiantong Zhen, Liuqing Wang
Parameter-Free Channel Attention for Image Classification and Super-Resolution. CoRR (2023)
Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
Implicit Diffusion Models for Continuous Super-Resolution. CoRR (2023)
Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
Learning Variational Neighbor Labels for Test-Time Domain Generalization. CoRR (2023)
Tom van Sonsbeek, Xiantong Zhen, Marcel Worring
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports. CoRR (2023)
Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping. CoRR (2023)
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Lei Zhang
Spherical Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32 (2) (2022)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR (2022)
Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. CoRR (2022)
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)
Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Learning to Generalize across Domains on Single Test Samples. ICLR (2022)
Xuhui Liu, Yutao Hu, Baochang Zhang, Xiantong Zhen, Xiaoyan Luo, Xianbin Cao
Attentive encoder-decoder networks for crowd counting. Neurocomputing 490 (2022)
Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Learning to Generalize across Domains on Single Test Samples. CoRR (2022)
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 (2022)
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao
Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Anal. 82 (2022)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR (2022)
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) (2022)
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek, Marcel Worring
Association Graph Learning for Multi-Task Classification with Category Shifts. CoRR (2022)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2022)
Jin Liang, Anran Zhang, Jun Xu, Hui Li, Xiantong Zhen
Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion. CoRR (2022)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
Variational Model Perturbation for Source-Free Domain Adaptation. NeurIPS (2022)
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring
Association Graph Learning for Multi-Task Classification with Category Shifts. NeurIPS (2022)
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)
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Kernel Continual Learning. CoRR (2021)
Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao
Multi-Task Neural Processes. CoRR (2021)
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek
Kernel Continual Learning. ICML (2021)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR (2021)
Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu
Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS (2021)
Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI (2021)
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 (2021)
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR (2021)
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) (2021)
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 (2021)
Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR (2021)
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 (2021)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR (2021)
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 (2021)
Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao
Variational Multi-Task Learning with Gumbel-Softmax Priors. NeurIPS (2021)
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) (2021)
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 (2021)
Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR (2021)
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)
Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao
Variational Prototype Inference for Few-Shot Semantic Segmentation. WACV (2021)
Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao
Variational Multi-Task Learning with Gumbel-Softmax Priors. CoRR (2021)
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Generative Kernel Continual learning. CoRR (2021)
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. ICML (2021)
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao
Variational Topic Inference for Chest X-Ray Report Generation. MICCAI (3) (2021)
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao
Variational Topic Inference for Chest X-Ray Report Generation. CoRR (2021)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia (2021)
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)
Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang
Variational Image Deraining. WACV (2020)
Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen
Few-Shot Semantic Segmentation with Democratic Attention Networks. ECCV (13) (2020)
Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen
Calibrated Multivariate Regression Networks. IEEE Trans. Circuits Syst. Video Technol. 30 (11) (2020)
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 (2020)
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Learning to Learn Kernels with Variational Random Features. CoRR (2020)
Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen
The Structure Transfer Machine Theory and Applications. IEEE Trans. Image Process. 29 (2020)
Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI (2020)
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
Conditional Variational Image Deraining. CoRR (2020)
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)
Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao
Model-Agnostic Metric for Zero-Shot Learning. WACV (2020)
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao
Learning to Learn Variational Semantic Memory. NeurIPS (2020)
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)
Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao
Heterogenous output regression network for direct face alignment. Pattern Recognit. 105 (2020)
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao
Learning to Learn Variational Semantic Memory. CoRR (2020)
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29 (2020)
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)
Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiantong Zhen