Binhui Xie
13 papers · 2020–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(73)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Application Areas
(9)
Deep Learning
(7)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
Analysis
(6)
Learning Types Β· Machine Learning
(6)
Core AI Β· Artificial Intelligence
(4)
Domain-Specific
(3)
Learning Paradigms
(2)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI Β· Computer Vision
(1)
Core Methods
(1)
Keywords
domain adaptation
(5)
semantic segmentation
(4)
active learning
(3)
transfer learning
(3)
lidar semantic segmentation
(2)
point cloud
(2)
unsupervised domain adaptation
(2)
domain generalization
(1)
sparse representation
(1)
vision transformer
(1)
scene understanding
(1)
self-supervised learning
(1)
batch normalization
(1)
multimodal learning
(1)
cluster analysis
(1)
semi-supervised learning
(1)
test-time adaptation
(1)
channel attention
(1)
3d occupancy prediction
(1)
autonomous driving
(1)
Papers
Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation
WACV 2026
SPSC: Sparse and Scalable Multi-Modal 3D Occupancy Prediction for Autonomous Driving
AAAI 2026
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
ICML 2025
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
ICML 2024
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
NeurIPS 2024
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
NeurIPS 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
CVPR 2023
Robust Test-Time Adaptation in Dynamic Scenarios
CVPR 2023
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
AAAI 2023
Active Learning for Domain Adaptation: An Energy-Based Approach
AAAI 2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
CVPR 2022
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
AAAI 2021
Domain Conditioned Adaptation Network
AAAI 2020