Human action representation using pyramid correlogram of oriented gradients on motion history images. - Ling Shao 001; Xiantong Zhen; Yan Liu 004; Ling Ji (Int. J. Comput. Math., 2011)

High order co-occurrence of visualwords for action recognition. - Lei Zhang 093; Xiantong Zhen; Ling Shao 001 (ICIP, 2012)

Human Action Retrieval via efficient feature matching. - Jun Tang 007; Ling Shao 001; Xiantong Zhen (AVSS, 2013)

Spatio-temporal steerable pyramid for human action recognition. - Xiantong Zhen; Ling Shao 001 (FG, 2013)

Towards optimal object bank for scene classification. - Lei Zhang 093; Shouzhi Xie; Xiantong Zhen (ICASSP, 2013)

Recognizing actions via sparse coding on structure projection. - Lei Zhang 093; Tao Wang; Xiantong Zhen (ICIP, 2013)

Discriminative high-level representations for scene classification. - Lei Zhang 093; Shouzhi Xie; Xiantong Zhen (ICIP, 2013)

Combining appearance and structural features for human action recognition. - Dongjie Zhao; Ling Shao 001; Xiantong Zhen; Yan Liu 004 (Neurocomputing, 2013)

A local descriptor based on Laplacian pyramid coding for action recognition. - Xiantong Zhen; Ling Shao 001 (Pattern Recognit. Lett., 2013)

Embedding Motion and Structure Features for Action Recognition. - Xiantong Zhen; Ling Shao 001; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2013)

Learning Discriminative Key Poses for Action Recognition. - Li Liu 004; Ling Shao 001; Xiantong Zhen; Xuelong Li 001 (IEEE Trans. Cybern., 2013)

Feature extraction and representation for human action recognition. - Xiantong Zhen (2013)

Discriminative Embedding via Image-to-Class Distances. - Xiantong Zhen; Ling Shao 001; Feng Zheng (BMVC, 2014)

Learning semantic kernels for scene classification. - Lei Zhang 093; Xiantong Zhen; Jiqing Han 001; Xuezhi Xiang (ICASSP, 2014)

A Performance Evaluation on Action Recognition with Local Features. - Xiantong Zhen; Ling Shao 001 (ICPR, 2014)

Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests. - Xiantong Zhen; Zhijie Wang 003; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (MICCAI (2), 2014)

Action recognition by spatio-temporal oriented energies. - Xiantong Zhen; Ling Shao 001; Xuelong Li 001 (Inf. Sci., 2014)

Robust point pattern matching based on spectral context. - Jun Tang 007; Ling Shao 001; Xiantong Zhen (Pattern Recognit., 2014)

Spatio-Temporal Laplacian Pyramid Coding for Action Recognition. - Ling Shao 001; Xiantong Zhen; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Cybern., 2014)

Learning Object-to-Class Kernels for Scene Classification. - Lei Zhang 093; Xiantong Zhen; Ling Shao 001 (IEEE Trans. Image Process., 2014)

Supervised descriptor learning for multi-output regression. - Xiantong Zhen; Zhijie Wang 003; Mengyang Yu; Shuo Li 001 (CVPR, 2015)

Dimensionality reduction by supervised locality analysis. - Lei Zhang 093; Peipei Peng; Xuezhi Xiang; Xiantong Zhen (ICIP, 2015)

Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. - Xiantong Zhen; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (MICCAI (1), 2015)

Direct volume estimation without segmentation. - Xiantong Zhen; Zhijie Wang 003; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (Image Processing, 2015)

Towards Direct Medical Image Analysis without Segmentation. - Xiantong Zhen; Shuo Li 001 (CoRR, 2015)

Regression Segmentation for M3 Spinal Images. - Zhijie Wang 003; Xiantong Zhen; KengYeow Tay; Said Osman; Walter Romano; Shuo Li 001 (IEEE Trans. Medical Imaging, 2015)

Correction to "Regression Segmentation for M3 Spinal Images". - Zhijie Wang 003; Xiantong Zhen; KengYeow Tay; Said Osman; Walter Romano; Shuo Li 001 (IEEE Trans. Medical Imaging, 2015)

Realistic human action recognition: When deep learning meets VLAD. - Lei Zhang 093; Yangyang Feng; Jiqing Han 001; Xiantong Zhen (ICASSP, 2016)

Towards optimal vlad for human action recognition from still images. - Lei Zhang 093; Xiantong Zhen; Jiqing Han 001 (ICASSP, 2016)

Multi-task Shape Regression for Medical Image Segmentation. - Xiantong Zhen; Yilong Yin; Mousumi Bhaduri; Ilanit Ben Nachum; David T. Laidley; Shuo Li 001 (MICCAI (3), 2016)

Spatial and temporal scoring for egocentric video summarization. - Zhao Guo; Lianli Gao; Xiantong Zhen; Fuhao Zou; Fumin Shen; Kai Zheng 001 (Neurocomputing, 2016)

Action recognition via spatio-temporal local features: A comprehensive study. - Xiantong Zhen; Ling Shao 001 (Image Vis. Comput., 2016)

Handcrafted vs. learned representations for human action recognition. - Xiantong Zhen; Ling Shao 001; Stephen J. Maybank; Rama Chellappa (Image Vis. Comput., 2016)

Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation. - Xiantong Zhen; Zhijie Wang 003; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (Medical Image Anal., 2016)

Local Feature Discriminant Projection. - Mengyang Yu; Ling Shao 001; Xiantong Zhen; Xiaofei He 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Learning Deep Match Kernels for Image-Set Classification. - Haoliang Sun; Xiantong Zhen; Yuanjie Zheng; Gongping Yang; Yilong Yin; Shuo Li 001 (CVPR, 2017)

Realistic human action recognition: When CNNS meet LDS. - Lei Zhang 093; Yangyang Feng; Xuezhi Xiang; Xiantong Zhen (ICASSP, 2017)

Learning discriminant grassmann kernels for image-set classification. - Lei Zhang 093; Wenhui Liu; Xuezhi Xiang; Yan Sun; Xiantong Zhen (ICIP, 2017)

Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. - Haoliang Sun; Xiantong Zhen; Chris Bailey; Parham Rasoulinejad; Yilong Yin; Shuo Li 001 (IPMI, 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 001 (Medical Image Anal., 2017)

Real-time visual tracking based on improved perceptual hashing. - Mengjuan Fei; Zhaojie Ju; Xiantong Zhen; Jing Li 027 (Multim. Tools Appl., 2017)

Supervised Local Descriptor Learning for Human Action Recognition. - Xiantong Zhen; Feng Zheng; Ling Shao 001; Xianbin Cao 001; Dan Xu 002 (IEEE Trans. Multim., 2017)

Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression. - Xiantong Zhen; Mengyang Yu; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Deep Collaborative Tracking Networks. - Xiaolong Jiang; Xiantong Zhen; Baochang Zhang 001; Jian Yang; Xianbin Cao 001 (BMVC, 2018)

In Defense of Single-column Networks for Crowd Counting. - Ze Wang 008; Zehao Xiao; Kai Xie; Qiang Qiu 001; Xiantong Zhen; Xianbin Cao 001 (BMVC, 2018)

Attentional Alignment Networks. - Lei Yue; Xin Miao; Pengbo Wang; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001 (BMVC, 2018)

Direct Shape Regression Networks for End-to-End Face Alignment. - Xin Miao; Xiantong Zhen; Xianglong Liu 001; Cheng Deng; Vassilis Athitsos; Heng Huang (CVPR, 2018)

Spatial Ensemble Kernel Learning for Scene Classification. - Lei Zhang 093; Xiantong Zhen; Qiujing Zhang (ICASSP, 2018)

The Structure Transfer Machine Theory and Applications. - Baochang Zhang 001; Lian Zhuo; Ze Wang 008; Jungong Han; Xiantong Zhen (CoRR, 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)

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. - Xiaoqian Wang 001; Xiantong Zhen; Quanzheng Li; Dinggang Shen; Heng Huang (Neuroinformatics, 2018)

Multi-Target Regression via Robust Low-Rank Learning. - Xiantong Zhen; Mengyang Yu; Xiaofei He 001; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Multi-Stream Convolutional Neural Network for SAR Automatic Target Recognition. - Pengfei Zhao; Kai Liu 005; Hao Zou; Xiantong Zhen (Remote. Sens., 2018)

Multitarget Sparse Latent Regression. - Xiantong Zhen; Mengyang Yu; Feng Zheng; Ilanit Ben Nachum; Mousumi Bhaduri; David T. Laidley; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Attentive Temporal Pyramid Network for Dynamic Scene Classification. - Yuanjun Huang; Xianbin Cao 001; Xiantong Zhen; Jungong Han (AAAI, 2019)

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001; David S. Doermann; Ling Shao 001 (CVPR, 2019)

Relational Attention Network for Crowd Counting. - Anran Zhang; Jiayi Shen; Zehao Xiao; Fan Zhu 001; Xiantong Zhen; Xianbin Cao 001; Ling Shao 001 (ICCV, 2019)

Attentional Neural Fields for Crowd Counting. - Anran Zhang; Lei Yue; Jiayi Shen; Fan Zhu 001; Xiantong Zhen; Xianbin Cao 001; Ling Shao 001 (ICCV, 2019)

Two-Stream Multi-Task Network for Fashion Recognition. - Peizhao Li; Yanjing Li; Xiaolong Jiang; Xiantong Zhen (ICIP, 2019)

Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. - Haoliang Sun; Xiantong Zhen; Yilong Yin (ICIP, 2019)

Model-Free Tracking With Deep Appearance and Motion Features Integration. - Xiaolong Jiang; Peizhao Li; Xiantong Zhen; Xianbin Cao 001 (WACV, 2019)

Multi-Scale Aggregation Network for Direct Face Alignment. - Peizhao Li; Anran Zhang; Lei Yue; Xiantong Zhen; Xianbin Cao 001 (WACV, 2019)

Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. - Xingchao Liu; Ce Li 002; Hongren Wang; Xiantong Zhen; Baochang Zhang 001; Qixiang Ye (WACV, 2019)

Cosine Activation in Compact Network (CACN): Application to Scene Classification. - Lei Zhang 093; Xin Li 100; Zhiping Jian; Wei Zhang; Xiantong Zhen (IEEE Access, 2019)

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001; David S. Doermann; Ling Shao 001 (CoRR, 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)

Attentional Information Fusion Networks for Cross-Scene Power Line Detection. - Yan Li 054; Zehao Xiao; Xiantong Zhen; Xianbin Cao 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Long-Short-Term Features for Dynamic Scene Classification. - Yuanjun Huang; Xianbin Cao 001; Qi Wang 009; Baochang Zhang 001; Xiantong Zhen; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features. - Shuman Tian; Xianbin Cao 001; Yan Li 054; Xiantong Zhen; Baochang Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Gaussian Transfer Convolutional Neural Networks. - Hongren Wang; Ce Li 002; Xiantong Zhen; Wankou Yang; Baochang Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Learning Match Kernels on Grassmann Manifolds for Action Recognition. - Lei Zhang 093; Xiantong Zhen; Ling Shao 001; Jingkuan Song (IEEE Trans. Image Process., 2019)

Deep Ensemble Machine for Video Classification. - Jiewan Zheng; Xianbin Cao 001; Baochang Zhang 001; Xiantong Zhen; Xiangbo Su (IEEE Trans. Neural Networks Learn. Syst., 2019)

Learning to Learn with Variational Information Bottleneck for Domain Generalization. - Ying-Jun Du; Jun Xu 019; Huan Xiong; Qiang Qiu 001; Xiantong Zhen; Cees G. M. Snoek; Ling Shao 001 (ECCV (10), 2020)

Few-Shot Semantic Segmentation with Democratic Attention Networks. - Haochen Wang; Xudong Zhang; Yutao Hu 002; Yandan Yang; Xianbin Cao 001; Xiantong Zhen (ECCV (13), 2020)

You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network. - Haochen Wang; Yandan Yang; Xiaolong Jiang; Xianbin Cao 001; Xiantong Zhen (ICIP, 2020)

Learning to Learn Kernels with Variational Random Features. - Xiantong Zhen; Haoliang Sun; Ying-Jun Du; Jun Xu 019; Yilong Yin; Ling Shao 001; Cees Snoek (ICML, 2020)

Transductive Relation-Propagation Network for Few-shot Learning. - Yuqing Ma; Shihao Bai; Shan An; Wei Liu 005; Aishan Liu; Xiantong Zhen; Xianglong Liu 001 (IJCAI, 2020)

Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. - Mengshi Qi; Jie Qin; Xiantong Zhen; Di Huang 001; Yi Yang 001; Jiebo Luo 001 (ACM Multimedia, 2020)

Learning to Learn Variational Semantic Memory. - Xiantong Zhen; Ying-Jun Du; Huan Xiong; Qiang Qiu 001; Cees Snoek; Ling Shao 001 (NeurIPS, 2020)

Variational Image Deraining. - Ying-Jun Du; Jun Xu 019; Qiang Qiu 001; Xiantong Zhen; Lei Zhang 093 (WACV, 2020)

Model-Agnostic Metric for Zero-Shot Learning. - Jiayi Shen; Haochen Wang; Anran Zhang; Qiang Qiu 001; Xiantong Zhen; Xianbin Cao 001 (WACV, 2020)

Heterogenous output regression network for direct face alignment. - Xiantong Zhen; Mengyang Yu; Zehao Xiao; Lei Zhang 093; Ling Shao 001 (Pattern Recognit., 2020)

Calibrated Multivariate Regression Networks. - Lei Zhang 093; Ying-Jun Du; Xin Li 100; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2020)

Conditional Variational Image Deraining. - Ying-Jun Du; Jun Xu 019; Xiantong Zhen; Ming-Ming Cheng; Ling Shao 001 (IEEE Trans. Image Process., 2020)

The Structure Transfer Machine Theory and Applications. - Baochang Zhang 001; Wankou Yang; Ze Wang 008; Lian Zhuo; Jungong Han; Xiantong Zhen (IEEE Trans. Image Process., 2020)

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. - Ying-Jun Du; Nithin Holla; Xiantong Zhen; Cees Snoek; Ekaterina Shutova (ACL/IJCNLP (1), 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 001 (ICCV, 2021)

MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. - Ying-Jun Du; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (ICLR, 2021)

Kernel Continual Learning. - Mohammad Mahdi Derakhshani; Xiantong Zhen; Ling Shao 001; Cees Snoek (ICML, 2021)

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. - Zehao Xiao; Jiayi Shen; Xiantong Zhen; Ling Shao 001; Cees Snoek (ICML, 2021)

Variational Knowledge Distillation for Disease Classification in Chest X-Rays. - Tom van Sonsbeek; Xiantong Zhen; Marcel Worring; Ling Shao 001 (IPMI, 2021)

Variational Topic Inference for Chest X-Ray Report Generation. - Ivona Najdenkoska; Xiantong Zhen; Marcel Worring; Ling Shao 001 (MICCAI (3), 2021)

Learning Hierarchical Embedding for Video Instance Segmentation. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Xiantong Zhen; Yilong Yin (ACM Multimedia, 2021)

Variational Multi-Task Learning with Gumbel-Softmax Priors. - Jiayi Shen; Xiantong Zhen; Marcel Worring; Ling Shao 001 (NeurIPS, 2021)

Learning to Learn Dense Gaussian Processes for Few-Shot Learning. - Ze Wang 008; Zichen Miao; Xiantong Zhen; Qiang Qiu 001 (NeurIPS, 2021)

Variational Prototype Inference for Few-Shot Semantic Segmentation. - Haochen Wang; Yandan Yang; Xianbin Cao 001; Xiantong Zhen; Cees Snoek; Ling Shao 001 (WACV, 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 001 (CoRR, 2021)

Multi-Task Neural Processes. - Jiayi Shen; Xiantong Zhen; Marcel Worring; Ling Shao 001 (CoRR, 2021)

Generative Kernel Continual learning. - Mohammad Mahdi Derakhshani; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (CoRR, 2021)

Deep 3D human pose estimation: A review. - Jinbao Wang; Shujie Tan; Xiantong Zhen; Shuo Xu; Feng Zheng; Zhenyu He 001; Ling Shao 001 (Comput. Vis. Image Underst., 2021)

Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization. - Yutao Hu 002; Yandan Yang; Jun Zhang 007; Xianbin Cao 001; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Learning to Adapt With Memory for Probabilistic Few-Shot Learning. - Lei Zhang 093; Liyun Zuo; Ying-Jun Du; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Pixel-Level Non-local Image Smoothing With Objective Evaluation. - Jun Xu 019; Zhi-Ang Liu; Yingkun Hou; Xiantong Zhen; Ling Shao 001; Ming-Ming Cheng (IEEE Trans. Multim., 2021)

Hierarchical Variational Memory for Few-shot Learning Across Domains. - Ying-Jun Du; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (ICLR, 2022)

Learning to Generalize across Domains on Single Test Samples. - Zehao Xiao; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (ICLR, 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 (MICCAI (2), 2022)

Variational Model Perturbation for Source-Free Domain Adaptation. - Mengmeng Jing; Xiantong Zhen; Jingjing Li 001; Cees Snoek (NeurIPS, 2022)

Association Graph Learning for Multi-Task Classification with Category Shifts. - Jiayi Shen; Zehao Xiao; Xiantong Zhen; Cees Snoek; Marcel Worring (NeurIPS, 2022)

Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion. - Jin Liang; Anran Zhang; Jun Xu 019; Hui Li 029; Xiantong Zhen (CoRR, 2022)

Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. - Gang Xu; Yuchen Yang; Jun Xu 019; Liang Wang 001; Xiantong Zhen; Ming-Ming Cheng (CoRR, 2022)

Attentive encoder-decoder networks for crowd counting. - Xuhui Liu; Yutao Hu 002; Baochang Zhang 001; Xiantong Zhen; Xiaoyan Luo; Xianbin Cao 001 (Neurocomputing, 2022)

Uncertainty-aware report generation for chest X-rays by variational topic inference. - Ivona Najdenkoska; Xiantong Zhen; Marcel Worring; Ling Shao 001 (Medical Image Anal., 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)

Spherical Zero-Shot Learning. - Jiayi Shen; Zehao Xiao; Xiantong Zhen; Lei Zhang 093 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting. - Anran Zhang; Jun Xu 019; Xiaoyan Luo; Xianbin Cao 001; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2022)

Variational Hyperparameter Inference for Few-Shot Learning Across Domains. - Lei Zhang 093; Liyun Zuo; Baoyan Wang; Xin Li 100; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2022)

Variational Abnormal Behavior Detection With Motion Consistency. - Jing Li 027; Qingwang Huang; Ying-Jun Du; Xiantong Zhen; Shengyong Chen; Ling Shao 001 (IEEE Trans. Image Process., 2022)

Memory Attention Networks for Skeleton-Based Action Recognition. - Ce Li 002; Chunyu Xie; Baochang Zhang 001; Jungong Han; Xiantong Zhen; Jie Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

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 (BIBM, 2023)

EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. - Yingjun Du; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoLLAs, 2023)

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. - Yingjun Du; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CVPR, 2023)

Implicit Diffusion Models for Continuous Super-Resolution. - Sicheng Gao; Xuhui Liu; Bohan Zeng; Sheng Xu 007; Yanjing Li; Xiaoyan Luo; Jianzhuang Liu; Xiantong Zhen; Baochang Zhang 001 (CVPR, 2023)

CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. - Zhi Zhang 009; Helen Yannakoudakis; Xiantong Zhen; Ekaterina Shutova (EACL (Findings), 2023)

Order-preserving Consistency Regularization for Domain Adaptation and Generalization. - Mengmeng Jing; Xiantong Zhen; Jingjing Li 001; Cees G. M. Snoek (ICCV, 2023)

Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. - Baoshuo Kan; Teng Wang; Wenpeng Lu; Xiantong Zhen; Weili Guan; Feng Zheng (ICCV, 2023)

Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. - Guanghui Li; Mingqi Gao 003; Heng Liu; Xiantong Zhen; Feng Zheng (ICCV, 2023)

Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. - Ivona Najdenkoska; Xiantong Zhen; Marcel Worring (ICLR, 2023)

Energy-Based Test Sample Adaptation for Domain Generalization. - Zehao Xiao; Xiantong Zhen; Shengcai Liao; Cees G. M. Snoek (ICLR, 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 (ICML, 2023)

Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. - Tom van Sonsbeek; Xiantong Zhen; Marcel Worring (DALI@MICCAI, 2023)

Episodic Multi-Task Learning with Heterogeneous Neural Processes. - Jiayi Shen; Xiantong Zhen; Qi Wang 009; Marcel Worring (NeurIPS, 2023)

Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. - Tom van Sonsbeek; Xiantong Zhen; Dwarikanath Mahapatra; Marcel Worring (WACV, 2023)

Parameter-Free Channel Attention for Image Classification and Super-Resolution. - Yuxuan Shi; Lingxiao Yang; Wangpeng An; Xiantong Zhen; Liuqing Wang (CoRR, 2023)

CageViT: Convolutional Activation Guided Efficient Vision Transformer. - Hao Zheng 008; Jinbao Wang; Xiantong Zhen; Hong Chen; Jingkuan Song; Feng Zheng (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)

Learning to Learn With Variational Inference for Cross-Domain Image Classification. - Lei Zhang 093; Yingjun Du; Jiayi Shen; Xiantong Zhen (IEEE Trans. Multim., 2023)

Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. - Anran Zhang; Yandan Yang; Jun Xu 019; Xianbin Cao 001; Xiantong Zhen; Ling Shao 001 (IEEE Trans. Multim., 2023)

Attentional prototype inference for few-shot segmentation. - Haoliang Sun; Xiankai Lu; Haochen Wang; Yilong Yin; Xiantong Zhen; Cees G. M. Snoek; Ling Shao 001 (Pattern Recognit., 2023)

Continuous cross-modal hashing. - Hao Zheng 008; Jinbao Wang; Xiantong Zhen; Jingkuan Song; Feng Zheng; Ke Lu 002; Guo-Jun Qi (Pattern Recognit., 2023)

Probabilistic Test-Time Generalization by Variational Neighbor-Labeling. - Sameer Ambekar; Zehao Xiao; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoLLAs, 2024)

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. - Xuhui Liu; Zhi Qiao; Runkun Liu; Hong Li 016; Juan Zhang; Xiantong Zhen; Zhen Qian; Baochang Zhang 001 (ECCV (43), 2024)

Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention. - Xuezhi Xiang; Yiming Chen; Denis Ombati; Lei Zhang 093; Xiantong Zhen (ICIP, 2024)

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. - Yuchen Yang; Yingdong Shi; Cheems Wang; Xiantong Zhen; Yuxuan Shi; Jun Xu 019 (ICML, 2024)

Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning. - Zhi Qiao; Xuhui Liu; Xiaopeng Wang; Runkun Liu; Xiantong Zhen; Pei Dong; Zhen Qian (CoRR, 2024)

Self-supervised Monocular Depth Estimation with Large Kernel Attention. - Xuezhi Xiang; Yao Wang; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

LKA-ReID:Vehicle Re-Identification with Large Kernel Attention. - Xuezhi Xiang; Zhushan Ma; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections. - Xuezhi Xiang; Yibo Ning; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

Self-Supervised Scene Flow Estimation with Point-Voxel Fusion and Surface Representation. - Xuezhi Xiang; Xi Wang; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. - Huan Xiong; Lei Huang 015; Wenston J. T. Zang; Xiantong Zhen; Guo-Sen Xie; Bin Gu 001; Le Song (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Weakly-Supervised RGBD Video Object Segmentation. - Jinyu Yang; Mingqi Gao 003; Feng Zheng; Xiantong Zhen; Rongrong Ji; Ling Shao 001; Ales Leonardis (IEEE Trans. Image Process., 2024)

Variational Neuron Shifting for Few-Shot Image Classification Across Domains. - Liyun Zuo; Baoyan Wang; Lei Zhang 093; Jun Xu 019; Xiantong Zhen (IEEE Trans. Multim., 2024)

MetaKernel: Learning Variational Random Features With Limited Labels. - Yingjun Du; Haoliang Sun; Xiantong Zhen; Jun Xu 019; Yilong Yin; Ling Shao 001; Cees G. M. Snoek (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

IRI-VFI dataset. - Wei Si; Zhaolin Zheng; Zhewei Huang; Xi-Ming Xu 002; Ruijue Wang; Ji-Gang Bao; Qiang Xiong; Xiantong Zhen; Jun Xu 019 (IEEE DataPort, 2024)

Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. - Guanhe Huang; Jingyue Shi; Jun Xu 019; Jing Li 027; Shengyong Chen; Yingjun Du; Xiantong Zhen; Honghai Liu 001 (IEEE Trans. Cybern., 2024)

Lightweight improved residual network for efficient inverse tone mapping. - Liqi Xue; Tianyi Xu; Yongbao Song; Yan Liu 004; Lei Zhang 093; Xiantong Zhen; Jun Xu 019 (Multim. Tools Appl., 2024)

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. - Yawen Huang; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Guo-Jun Qi; Ling Shao 001; Yefeng Zheng 001 (Int. J. Comput. Vis., 2024)

HYDEN: Hyperbolic Density Representations for Medical Images and Reports. - Zhi Qiao; Linbin Han; Xiantong Zhen; Jiahong Gao 001; Zhen Qian (COLING, 2025)

LKA-ReID: Vehicle Re-Identification with Large Kernel Attention. - Xuezhi Xiang; Zhushan Ma; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (ICASSP, 2025)

Knowledge-Enhanced Hyperbolic Language-Image Pretraining for Zero-Shot Learning. - Linbin Han; Zhi Qiao; Xiantong Zhen; Jia-Hong Gao 001; Zhen Qian (IPMI (2), 2025)

GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts. - Sameer Ambekar; Zehao Xiao; Xiantong Zhen; Cees G. M. Snoek (WACV, 2025)

Learning temporal-aware representation for controllable interventional radiology imaging. - Wei Si; Zhaolin Zheng; Zhewei Huang; Xi-Ming Xu 002; Ruijue Wang; Ji-Gang Bao; Qiang Xiong; Xiantong Zhen; Jun Xu 019 (Comput. Vis. Image Underst., 2025)

Deep scene flow learning from point cloud with Transformer. - Xuezhi Xiang; Yiming Chen; Rokia Abdein; Lei Zhang 093; Xiantong Zhen (Neurocomputing, 2025)

De-noising mask transformer for referring image segmentation. - Yehui Wang; Fang Lei; Baoyan Wang; Qiang Zhang; Xiantong Zhen; Lei Zhang 093 (Image Vis. Comput., 2025)

Vehicle re-identification with large separable kernel attention and hybrid channel attention. - Xuezhi Xiang; Zhushan Ma; Xiaoheng Li; Lei Zhang 093; Xiantong Zhen (Image Vis. Comput., 2025)

Self-supervised monocular depth estimation with large kernel attention and dynamic scene perception. - Xuezhi Xiang; Yao Wang; Xiaoheng Li; Lei Zhang 093; Xiantong Zhen (J. Vis. Commun. Image Represent., 2025)

Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions. - Yawen Huang; Huimin Huang 002; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Yefeng Zheng 001 (Int. J. Comput. Vis., 2025)

Surf3R: Rapid Surface Reconstruction from Sparse RGB Views in Seconds. - Haodong Zhu; Changbai Li; Yangyang Ren; Zichao Feng; Xuhui Liu; Hanlin Chen; Xiantong Zhen; Baochang Zhang 001 (CoRR, 2025)

Few-Shot Referring Video Single- and Multi-Object Segmentation Via Cross-Modal Affinity with Instance Sequence Matching. - Heng Liu; Guanghui Li; Mingqi Gao 003; Xiantong Zhen; Feng Zheng; Yang Wang 023 (Int. J. Comput. Vis., 2025)

D3T: Dual-Domain Diffusion Transformer in Triplanar Latent Space for 3D Incomplete-View CT Reconstruction. - Xuhui Liu; Hong Li 016; Zhi Qiao; Yawen Huang; Xi Liu; Juan Zhang; Zhen Qian; Xiantong Zhen; Baochang Zhang 001 (Int. J. Comput. Vis., 2025)