Wei Zhuo
15 papers · 2015–2026 · 7 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31)
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Research topics
Machine Learning
(13)
Computer Vision
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Deep Learning
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Analysis
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Core Methods
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Learning Types Β· Machine Learning
(5)
Artificial Intelligence
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Learning Types Β· Deep Learning
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Knowledge & Reasoning
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Keywords
semantic segmentation
(5)
graph neural network
(4)
few-shot learning
(2)
object detection
(2)
message passing
(2)
multi-task learning
(1)
semi-supervised learning
(1)
contrastive learning
(1)
scene understanding
(1)
image segmentation
(1)
self-supervised learning
(1)
medical imaging
(1)
attention mechanism
(1)
data augmentation
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scene parsing
(1)
depth estimation
(1)
point cloud
(1)
feature embedding
(1)
pseudo labeling
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domain generalization
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Papers
Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization
AAAI 2026
One2Seq: One-Token Wise Decoder for Efficient Scene Text Recognition
AAAI 2026
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection
AAAI 2025
Commute Graph Neural Networks
ICML 2025
EchoONE: Segmenting Multiple Echocardiography Planes in One Model
CVPR 2025
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
CVPR 2024
Partitioning Message Passing for Graph Fraud Detection
ICLR 2024
Efficient Graph Similarity Computation with Alignment Regularization
NeurIPS 2022
Proximity Enhanced Graph Neural Networks with Channel Contrast
IJCAI 2022
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation
CVPR 2022
Learning Inner-Group Relations on Point Clouds
ICCV 2021
Mining Latent Classes for Few-Shot Segmentation
ICCV 2021
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector
CVPR 2020
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference
CVPR 2017
Indoor Scene Structure Analysis for Single Image Depth Estimation
CVPR 2015