Liang Xiao
11 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 (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Keyword Champion
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(56)
Top co-authors
Research topics
Deep Learning
(7)
Computer Vision
(5)
Machine Learning
(4)
Analysis
(4)
Artificial Intelligence
(3)
Core AI
(3)
Domain-Specific
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Techniques
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
diffusion model
(3)
3d object detection
(2)
sentiment analysis
(1)
scene understanding
(1)
sparse representation
(1)
social media analysis
(1)
autonomous driving
(1)
multi-view learning
(1)
point cloud
(1)
motion forecasting
(1)
3d vision
(1)
conditional generation
(1)
3d scene understanding
(1)
visual reasoning
(1)
tensor decomposition
(1)
question answering
(1)
sequence learning
(1)
multi-object tracking
(1)
label hierarchy
(1)
text classification
(1)
Papers
A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation
CVPR 2026
Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
CVPR 2026
MIRA: Evaluating Multimodal AI on Complex Clinical Reasoning in Interventional Radiology
AAAI 2026
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
AAAI 2026
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
CVPR 2025
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
CVPR 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
CVPR 2024
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
MICCAI 2024
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference
EMNLP 2023
Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars
ECCV 2022
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
NeurIPS 2017