Can Cui
15 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (8) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (43)
πΊοΈ
Taxonomy Completionist
(43)
π§
Keyword Pioneer
π₯
Mega-Team
(21)
π§¬
Topic Evolution
π
Century Club
(14)
ποΈ
Keyword Collector
(79)
π₯
Unstoppable
(5)
β‘
Prolific Year
(8)
π
Conference Pioneer
Conferences
CVPR (5)
AAAI (2)
EMNLP (2)
MIDL (2)
ICCV (1)
ICLR (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
autonomous driving
(6)
autonomous vehicle
(2)
vision-language model
(2)
question answering
(2)
multimodal learning
(2)
variational inference
(1)
semantic segmentation
(1)
representation learning
(1)
uncertainty quantification
(1)
scene understanding
(1)
self-supervised learning
(1)
medical imaging
(1)
graph representation learning
(1)
stochastic gradient descent
(1)
bayesian inference
(1)
code generation
(1)
domain adaptation
(1)
trajectory prediction
(1)
policy learning
(1)
reinforcement learning
(1)
Papers
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
AAAI 2026
DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection
EMNLP 2025
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
ICCV 2025
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
CVPR 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
CVPR 2024
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
CVPR 2024
Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models
EMNLP 2024
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
CVPR 2024
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
MICCAI 2024
MACP: Efficient Model Adaptation for Cooperative Perception
WACV 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis
MIDL 2023
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation
MIDL 2022
Learned Simulators for Turbulence
ICLR 2022
Adaptive Knowledge Driven Regularization for Deep Neural Networks
AAAI 2021