Zhihe Lu
9 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
NIPS (3)
CVPR (2)
ECCV (2)
ICCV (1)
ICML (1)
Top co-authors
Keywords
transfer learning
(3)
vision-language model
(2)
few-shot learning
(1)
vision-language navigation
(1)
domain generalization
(1)
spectral clustering
(1)
graph representation learning
(1)
knowledge distillation
(1)
data augmentation
(1)
unsupervised domain adaptation
(1)
fourier transform
(1)
knowledge graph
(1)
gaussian distribution
(1)
frequency domain
(1)
efficient tuning
(1)
adapter tuning
(1)
few-shot semantic segmentation
(1)
prompt tuning
(1)
fourier domain
(1)
classifier ensemble
(1)
Papers
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
NIPS 2024
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
ECCV 2024
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation
ECCV 2024
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
ICML 2024
Task Residual for Tuning Vision-Language Models
CVPR 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
NIPS 2023
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
NIPS 2023
Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer
ICCV 2021
Stochastic Classifiers for Unsupervised Domain Adaptation
CVPR 2020