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Xiantong Zhen

43 papers · 2015–2025 · 14 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (63) 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (43) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (148) πŸ”₯ Unstoppable (9)

Conferences

CVPR (6) ICCV (6) NIPS (6) ICLR (5) ICML (5) WACV (5) ECCV (3) AAAI (1) ACL (1) COLING (1) EACL (1) IJCAI (1) IJCNLP (1) MICCAI (1)

Top co-authors

Ling Shao (14) Yingjun Du (10) Cees Snoek (10) Cees G. M. Snoek (8) Jiayi Shen (8) Zehao Xiao (7) Xianbin Cao (7) Qiang Qiu (5) Marcel Worring (5) Jun Xu (4)

Keywords

variational inference (12) few-shot learning (10) density estimation (4) domain generalization (3) metric learning (3) multi-task learning (3) kernel methods (3) crowd counting (3) graph neural network (3) semantic memory (3) convolutional neural network (2) zero-shot learning (2) semantic segmentation (2) image classification (2) random feature (2) hierarchical bayesian (2) word sense disambiguation (2) variational bayesian inference (2) attention mechanism (2) image restoration (2)

Papers

HYDEN: Hyperbolic Density Representations for Medical Images and Reports COLING 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts WACV 2025
EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation MICCAI 2025
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation ICML 2024
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays ECCV 2024
Order-preserving Consistency Regularization for Domain Adaptation and Generalization ICCV 2023
Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification WACV 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023
Implicit Diffusion Models for Continuous Super-Resolution CVPR 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail CVPR 2023
Energy-Based Test Sample Adaptation for Domain Generalization ICLR 2023
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension EACL 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning ICLR 2023
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples ICCV 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models ICCV 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes NIPS 2023
Hierarchical Variational Memory for Few-shot Learning Across Domains ICLR 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
Association Graph Learning for Multi-Task Classification with Category Shifts NIPS 2022
Learning to Generalize across Domains on Single Test Samples ICLR 2022
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation ICCV 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning NIPS 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors NIPS 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains ICLR 2021
Kernel Continual Learning ICML 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation IJCNLP 2021
Variational Prototype Inference for Few-Shot Semantic Segmentation WACV 2021
Learning to Learn with Variational Information Bottleneck for Domain Generalization ECCV 2020
Learning to Learn Kernels with Variational Random Features ICML 2020
Variational Image Deraining WACV 2020
Transductive Relation-Propagation Network for Few-shot Learning IJCAI 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Model-Agnostic Metric for Zero-Shot Learning WACV 2020
Few-Shot Semantic Segmentation with Democratic Attention Networks ECCV 2020
Attentive Temporal Pyramid Network for Dynamic Scene Classification AAAI 2019
Relational Attention Network for Crowd Counting ICCV 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019
Attentional Neural Fields for Crowd Counting ICCV 2019
Direct Shape Regression Networks for End-to-End Face Alignment CVPR 2018
Learning Deep Match Kernels for Image-Set Classification CVPR 2017
Supervised Descriptor Learning for Multi-Output Regression CVPR 2015