Xiaofan Li
14 papers · 2020–2026 · 4 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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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(76)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(8)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Computer Vision
(9)
Deep Learning
(8)
Core AI
(7)
Machine Learning
(6)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(5)
Generation
(4)
Analysis
(3)
Domain-Specific
(3)
Learning Paradigms
(3)
Models
(3)
Architectures
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Keywords
autonomous driving
(3)
anomaly detection
(2)
diffusion model
(2)
catastrophic forgetting
(2)
feature generation
(2)
generalized zero-shot learning
(2)
image generation
(1)
knowledge distillation
(1)
few-shot learning
(1)
visual question answering
(1)
embedding learning
(1)
image captioning
(1)
metric learning
(1)
visual localization
(1)
scene reconstruction
(1)
embedding space
(1)
human-object interaction
(1)
visual reasoning
(1)
bird's eye view
(1)
image reconstruction
(1)
Papers
Enhancing Descriptive Captions with Visual Attributes for Multimodal Perception
CVPR 2026
FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain
CVPR 2026
FM-Steer: Enhance Generalist Policies with Value-Guided Cascaded Denoising
CVPR 2026
FVAR: Next-Focus Prediction for Visual Autoregressive Modeling
CVPR 2026
ViLoMem: Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
CVPR 2026
When Numbers Speak: Aligning Textual Numerals and Visual Instances in Text-to-Video Diffusion Models
CVPR 2026
CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception
ICCV 2025
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
CVPR 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
CVPR 2025
U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
ICCV 2025
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
CVPR 2024
VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning
IJCAI 2023
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning
CVPR 2022
A Model of Fake Data in Data-driven Analysis
JMLR 2020