Xiantong Zhen

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

Achievements

+13 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🤝 Dynamic Duo (14) 👑 Triple Crown 🏆 Grand Slam 🏆 Keyword Champion (2) 💎 Century Club (43) 🚀 Conference Pioneer 📈 Trend Setter ⚡ Prolific Year (7) 🗃️ Keyword Collector (148) 🔥 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