Xun Xu
19 papers · 2018–2026 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (50)
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Topic Evolution
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Century Club · Bronze
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Venues
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Research topics
Machine Learning
(16)
Computer Vision
(12)
Deep Learning
(11)
Learning Types · Machine Learning
(11)
Analysis
(10)
Artificial Intelligence
(9)
Application Areas
(9)
Learning Types · Deep Learning
(7)
Core AI
(6)
Architectures
(4)
Core Methods
(3)
Learning Paradigms
(2)
Processing
(2)
Data Science & Analytics
(1)
Applications
(1)
Keywords
domain adaptation
(4)
semantic segmentation
(4)
adversarial robustness
(3)
weakly supervised learning
(2)
domain generalization
(2)
test-time adaptation
(2)
test-time training
(2)
state space model
(2)
out-of-distribution detection
(2)
3d point cloud
(2)
point cloud
(2)
distribution shift
(2)
semi-supervised learning
(2)
foundation model
(2)
spectral clustering
(1)
robotic manipulation
(1)
adversarial learning
(1)
3d reconstruction
(1)
data poisoning
(1)
dense feature matching
(1)
Papers
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
AAAI 2026
Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
AAAI 2026
Zero-Shot Image Denoising via Hybrid Prior-Guided Pseudo Sample Generation
CVPR 2026
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
ICLR 2025
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
ICLR 2025
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
ICCV 2025
Future-Aware Interaction Network For Motion Forecasting
ICCV 2025
Global-Aware Monocular Semantic Scene Completion with State Space Models
ICCV 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
ICLR 2025
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
CVPR 2024
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
AAAI 2024
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
ICCV 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
NeurIPS 2022
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
CVPR 2021
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
ICLR 2021
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs
CVPR 2021
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
CVPR 2020
C3AE: Exploring the Limits of Compact Model for Age Estimation
CVPR 2019
Motion Segmentation by Exploiting Complementary Geometric Models
CVPR 2018