| 2025 | COLING | HYDEN: Hyperbolic Density Representations for Medical Images and Reports. | Zhi Qiao, Linbin Han, Xiantong Zhen, Jiahong Gao, Zhen Qian |
| 2025 | ICASSP | LKA-ReID: Vehicle Re-Identification with Large Kernel Attention. | Xuezhi Xiang, Zhushan Ma, Lei Zhang, Denis Ombati, Himaloy Himu, Xiantong Zhen |
| 2025 | ICIP | Mamba-SF: Monocular Scene Flow Learning with State Space Models. | Yiming Chen, Xuezhi Xiang, Xianye Ben, Insha Hassan, Mingliang Zhai, Lei Zhang, Xiantong Zhen |
| 2025 | IJCNN | Refining and adaption: multi-modal learning in wear debris analysis. | Yongcai Chen, Fang Lei, Xiantong Zhen, Xin Li, Lei Zhang |
| 2025 | MICCAI | EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-distillation. | Xujia Wang, Xuhui Liu, Xi Liu, Qian Si, Zhaoliang Xu, Yang Li, Xiantong Zhen |
| 2025 | WACV | GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts. | Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek |
| 2024 | ECCV | DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. | Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang |
| 2024 | ICIP | Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention. | Xuezhi Xiang, Yiming Chen, Denis Ombati, Lei Zhang, Xiantong Zhen |
| 2024 | ICML | Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. | Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu |
| 2023 | CVPR | SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. | Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek |
| 2023 | CVPR | 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 |
| 2023 | EACL | CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. | Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova |
| 2023 | ICCV | Order-preserving Consistency Regularization for Domain Adaptation and Generalization. | Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek |
| 2023 | ICCV | Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. | Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng |
| 2023 | ICCV | Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. | Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng |
| 2023 | ICLR | Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. | Ivona Najdenkoska, Xiantong Zhen, Marcel Worring |
| 2023 | ICLR | Energy-Based Test Sample Adaptation for Domain Generalization. | Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek |
| 2023 | ICML | 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 |
| 2023 | MICCAI | Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. | Tom van Sonsbeek, Xiantong Zhen, Marcel Worring |
| 2023 | WACV | Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. | Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring |
| 2022 | ICLR | Hierarchical Variational Memory for Few-shot Learning Across Domains. | Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek |
| 2022 | ICLR | Learning to Generalize across Domains on Single Test Samples. | Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek |
| 2022 | MICCAI | 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 |
| 2021 | ACL | Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. | Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova |
| 2021 | ICCV | Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. | Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao |
| 2021 | ICLR | MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. | Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek |
| 2021 | ICML | Kernel Continual Learning. | Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek |
| 2021 | ICML | A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. | Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek |
| 2021 | MICCAI | Variational Topic Inference for Chest X-Ray Report Generation. | Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao |
| 2021 | WACV | Variational Prototype Inference for Few-Shot Semantic Segmentation. | Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao |
| 2020 | ECCV | 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 |
| 2020 | ECCV | Few-Shot Semantic Segmentation with Democratic Attention Networks. | Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen |
| 2020 | ICIP | You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network. | Haochen Wang, Yandan Yang, Xiaolong Jiang, Xianbin Cao, Xiantong Zhen |
| 2020 | ICML | Learning to Learn Kernels with Variational Random Features. | Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek |
| 2020 | IJCAI | Transductive Relation-Propagation Network for Few-shot Learning. | Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu |
| 2020 | WACV | Variational Image Deraining. | Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang |
| 2020 | WACV | Model-Agnostic Metric for Zero-Shot Learning. | Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao |
| 2019 | AAAI | Attentive Temporal Pyramid Network for Dynamic Scene Classification. | Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han |
| 2019 | CVPR | 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 |
| 2019 | ICCV | Relational Attention Network for Crowd Counting. | Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao |
| 2019 | ICCV | Attentional Neural Fields for Crowd Counting. | Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao |
| 2019 | ICIP | Two-Stream Multi-Task Network for Fashion Recognition. | Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen |
| 2019 | ICIP | Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. | Haoliang Sun, Xiantong Zhen, Yilong Yin |
| 2019 | WACV | Model-Free Tracking With Deep Appearance and Motion Features Integration. | Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao |
| 2019 | WACV | Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. | Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye |
| 2019 | WACV | Multi-Scale Aggregation Network for Direct Face Alignment. | Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao |
| 2018 | BMVC | Deep Collaborative Tracking Networks. | Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao |
| 2018 | BMVC | In Defense of Single-column Networks for Crowd Counting. | Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao |
| 2018 | BMVC | Attentional Alignment Networks. | Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao |
| 2018 | CVPR | Direct Shape Regression Networks for End-to-End Face Alignment. | Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang |
| 2018 | ICASSP | Spatial Ensemble Kernel Learning for Scene Classification. | Lei Zhang, Xiantong Zhen, Qiujing Zhang |
| 2017 | CVPR | Learning Deep Match Kernels for Image-Set Classification. | Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li |
| 2017 | ICASSP | Realistic human action recognition: When CNNS meet LDS. | Lei Zhang, Yangyang Feng, Xuezhi Xiang, Xiantong Zhen |
| 2017 | ICIP | Learning discriminant grassmann kernels for image-set classification. | Lei Zhang, Wenhui Liu, Xuezhi Xiang, Yan Sun, Xiantong Zhen |
| 2016 | ICASSP | Realistic human action recognition: When deep learning meets VLAD. | Lei Zhang, Yangyang Feng, Jiqing Han, Xiantong Zhen |
| 2016 | ICASSP | Towards optimal vlad for human action recognition from still images. | Lei Zhang, Xiantong Zhen, Jiqing Han |
| 2016 | MICCAI | Multi-task Shape Regression for Medical Image Segmentation. | Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li |
| 2015 | CVPR | Supervised descriptor learning for multi-output regression. | Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li |
| 2015 | ICIP | Dimensionality reduction by supervised locality analysis. | Lei Zhang, Peipei Peng, Xuezhi Xiang, Xiantong Zhen |
| 2015 | MICCAI | Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. | Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li |
| 2014 | BMVC | Discriminative Embedding via Image-to-Class Distances. | Xiantong Zhen, Ling Shao, Feng Zheng |
| 2014 | ICASSP | Learning semantic kernels for scene classification. | Lei Zhang, Xiantong Zhen, Jiqing Han, Xuezhi Xiang |
| 2014 | ICPR | A Performance Evaluation on Action Recognition with Local Features. | Xiantong Zhen, Ling Shao |
| 2014 | MICCAI | Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests. | Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li |
| 2013 | AVSS | Human Action Retrieval via efficient feature matching. | Jun Tang, Ling Shao, Xiantong Zhen |
| 2013 | ICASSP | Towards optimal object bank for scene classification. | Lei Zhang, Shouzhi Xie, Xiantong Zhen |
| 2013 | ICIP | Recognizing actions via sparse coding on structure projection. | Lei Zhang, Tao Wang, Xiantong Zhen |
| 2013 | ICIP | Discriminative high-level representations for scene classification. | Lei Zhang, Shouzhi Xie, Xiantong Zhen |
| 2012 | ICIP | High order co-occurrence of visualwords for action recognition. | Lei Zhang, Xiantong Zhen, Ling Shao |