Xiantong Zhen

papers

761

total citations

papers (17)

Implicit Diffusion Models for Continuous Super-Resolution

CVPR 2023arXiv

324

citations

Learning to Learn with Variational Information Bottleneck for Domain Generalization

ECCV 2020arXiv

190

citations

Order-preserving Consistency Regularization for Domain Adaptation and Generalization

ICCV 2023arXiv

citations

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays

ECCV 2024arXiv

citations

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

ICCV 2023arXiv

citations

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

ICML 2024arXiv

citations

Variational Task Vector Composition

NEURIPS 2025arXiv

citations

Association Graph Learning for Multi-Task Classification with Category Shifts

NEURIPS 2022arXiv

citations

Learning to Learn Dense Gaussian Processes for Few-Shot Learning

NEURIPS 2021

citations

Few-Shot Semantic Segmentation with Democratic Attention Networks

ECCV 2020

citations

Xiantong Zhen

papers (17)

Implicit Diffusion Models for Continuous Super-Resolution

Learning to Learn with Variational Information Bottleneck for Domain Generalization

Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models

Learning to Learn Variational Semantic Memory

Variational Multi-Task Learning with Gumbel-Softmax Priors

Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation

Variational Model Perturbation for Source-Free Domain Adaptation

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

Episodic Multi-Task Learning with Heterogeneous Neural Processes

Order-preserving Consistency Regularization for Domain Adaptation and Generalization

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays

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

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

Variational Task Vector Composition

Association Graph Learning for Multi-Task Classification with Category Shifts

Learning to Learn Dense Gaussian Processes for Few-Shot Learning

Few-Shot Semantic Segmentation with Democratic Attention Networks

papers (17)

Implicit Diffusion Models for Continuous Super-Resolution

Learning to Learn with Variational Information Bottleneck for Domain Generalization

Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models

Learning to Learn Variational Semantic Memory

Variational Multi-Task Learning with Gumbel-Softmax Priors

Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation

Variational Model Perturbation for Source-Free Domain Adaptation

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

Episodic Multi-Task Learning with Heterogeneous Neural Processes

Order-preserving Consistency Regularization for Domain Adaptation and Generalization

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays

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

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

Variational Task Vector Composition

Association Graph Learning for Multi-Task Classification with Category Shifts

Learning to Learn Dense Gaussian Processes for Few-Shot Learning

Few-Shot Semantic Segmentation with Democratic Attention Networks