Xialei Liu
25 papers · 2017–2026 · 6 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
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Dynamic Duo
(12)
π§
Keyword Pioneer
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Silver
ποΈ
Keyword Collector
(90)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Learning Types Β· Machine Learning
(17)
Computer Vision
(9)
Deep Learning
(9)
Analysis
(8)
Core Methods
(7)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(3)
Learning Paradigms
(2)
Models
(2)
Processing
(2)
Architectures
(1)
Domain-Specific
(1)
Keywords
catastrophic forgetting
(8)
continual learning
(7)
class-incremental learning
(7)
knowledge distillation
(5)
representation learning
(4)
semi-supervised learning
(3)
image classification
(2)
few-shot learning
(2)
generalized category discovery
(2)
image retrieval
(2)
multimodal learning
(2)
generative model
(2)
semantic segmentation
(2)
domain adaptation
(2)
domain generalization
(1)
feature learning
(1)
zero-shot learning
(1)
prototype learning
(1)
multi-task learning
(1)
object detection
(1)
Papers
Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models
CVPR 2026
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
AAAI 2026
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
CVPR 2025
KAC: Kolmogorov-Arnold Classifier for Continual Learning
CVPR 2025
Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning
ICCV 2025
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
ECCV 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
ECCV 2024
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
AAAI 2024
Generative Multi-modal Models are Good Class Incremental Learners
CVPR 2024
Letβs Start Over: Retraining with Selective Samples for Generalized Category Discovery
IJCAI 2024
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
CVPR 2024
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
ICCV 2023
Endpoints Weight Fusion for Class Incremental Semantic Segmentation
CVPR 2023
Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising
ICCV 2023
Masked Autoencoders are Efficient Class Incremental Learners
ICCV 2023
Cross-Domain Few-Shot Learning With Task-Specific Adapters
CVPR 2022
Learning Multiple Dense Prediction Tasks From Partially Annotated Data
CVPR 2022
Long-Tailed Class Incremental Learning
ECCV 2022
Representation Compensation Networks for Continual Semantic Segmentation
CVPR 2022
Universal Representation Learning From Multiple Domains for Few-Shot Classification
ICCV 2021
Semantic Drift Compensation for Class-Incremental Learning
CVPR 2020
Learning Metrics From Teachers: Compact Networks for Image Embedding
CVPR 2019
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
CVPR 2018
Memory Replay GANs: Learning to Generate New Categories without Forgetting
NeurIPS 2018
RankIQA: Learning From Rankings for No-Reference Image Quality Assessment
ICCV 2017