Zhen, Xiantong

41 publications

WACV 2025 GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees Snoek

NeurIPS 2025 Variational Task Vector Composition Boyuan Zhang, Yingjun Du, Xiantong Zhen, Ling Shao

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

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

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

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

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

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

CVPR 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

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, Heng Liu, Xiantong Zhen, Feng Zheng

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

ICML 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

ICCV 2023 Order-Preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek

WACV 2023 Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring

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

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

ICLR 2022 Hierarchical Variational Memory for Few-Shot Learning Across Domains Yingjun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

ICLR 2022 Learning to Generalize Across Domains on Single Test Samples Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

NeurIPSW 2022 Meta-Learning Makes a Better Multimodal Few-Shot Learner Ivona Najdenkoska, Xiantong Zhen, Marcel Worring

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

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

ICML 2021 Kernel Continual Learning Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek

NeurIPS 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu

ICLR 2021 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Yingjun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

ICCV 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

NeurIPS 2021 Variational Multi-Task Learning with Gumbel-SoftMax Priors Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao

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

ECCV 2020 Few-Shot Semantic Segmentation with Democratic Attention Networks Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen

ICML 2020 Learning to Learn Kernels with Variational Random Features Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

NeurIPS 2020 Learning to Learn Variational Semantic Memory Xiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

ECCV 2020 Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

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

IJCAI 2020 Transductive Relation-Propagation Network for Few-Shot Learning Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu

WACV 2020 Variational Image Deraining Yingjun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang

AAAI 2019 Attentive Temporal Pyramid Network for Dynamic Scene Classification Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han

WACV 2019 Model-Free Tracking with Deep Appearance and Motion Features Integration Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao

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

WACV 2019 Starts Better and Ends Better: A Target Adaptive Image Signature Tracker Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye

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

CVPR 2015 Supervised Descriptor Learning for Multi-Output Regression Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li