Xuequan Lu
25 papers · 2021–2026 · 7 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.
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Research topics
Computer Vision
(19)
Machine Learning
(19)
Analysis
(15)
Deep Learning
(13)
Learning Types Β· Machine Learning
(11)
Architectures
(8)
Learning Types Β· Deep Learning
(8)
Application Areas
(7)
Processing
(7)
Artificial Intelligence
(4)
Core Methods
(4)
Core AI
(2)
Learning Paradigms
(2)
Models
(2)
Domain-Specific
(1)
Keywords
domain generalization
(5)
point cloud
(5)
feature learning
(3)
3d vision
(3)
contrastive learning
(3)
representation learning
(3)
face anti-spoofing
(3)
vision transformer
(3)
domain adaptation
(3)
point cloud classification
(2)
point cloud completion
(2)
multi-task learning
(2)
semantic segmentation
(2)
state space model
(2)
feature alignment
(2)
face recognition
(2)
semi-supervised learning
(2)
attention mechanism
(2)
self-supervised learning
(2)
test-time adaptation
(2)
Papers
DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
AAAI 2026
DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
CVPR 2026
Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
CVPR 2026
PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification
AAAI 2026
SuP: Sub-cloud Driven Point Cloud Registration
CVPR 2026
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
IJCAI 2025
Cross-Rejective Open-Set SAR Image Registration
CVPR 2025
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
AAAI 2025
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
AAAI 2025
Rethinking Multiple-Instance Learning From Feature Space to Probability Space
ICLR 2025
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
AAAI 2025
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
CVPR 2024
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
ECCV 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
AAAI 2024
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
NeurIPS 2024
SemReg: Semantics Constrained Point Cloud Registration
ECCV 2024
StraightPCF: Straight Point Cloud Filtering
CVPR 2024
Test-Time Domain Generalization for Face Anti-Spoofing
CVPR 2024
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
CVPR 2023
Instance-Aware Domain Generalization for Face Anti-Spoofing
CVPR 2023
IterativePFN: True Iterative Point Cloud Filtering
CVPR 2023
Snow Removal in Video: A New Dataset and A Novel Method
ICCV 2023
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
CVPR 2022
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation
IJCAI 2022
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
ICCV 2021