Yuwei Wu
45 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (6)
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Cross-Pollinator
(6)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(105)
π
Grand Slam
π
Keyword Champion
(2)
π€
Dynamic Duo
(30)
ποΈ
Keyword Collector
(224)
π
Century Club
(43)
π₯
Unstoppable
(7)
β‘
Prolific Year
(7)
Conferences
AAAI (14)
CVPR (13)
ICCV (5)
ECCV (3)
NIPS (3)
IJCAI (2)
EMNLP (1)
ICLR (1)
ICML (1)
NAACL (1)
RSS (1)
Top co-authors
Keywords
visual question answering
(8)
compositional generalization
(5)
stereo matching
(3)
riemannian optimization
(3)
machine reading comprehension
(3)
3d reconstruction
(3)
hyperbolic space
(3)
graph neural network
(3)
point cloud
(3)
manifold optimization
(2)
few-shot learning
(2)
3d vision
(2)
manifold learning
(2)
reinforcement learning
(2)
metric learning
(2)
video anomaly detection
(2)
multimodal learning
(2)
continual learning
(2)
disparity estimation
(2)
self-supervised learning
(2)
Papers
Composition-Incremental Learning for Compositional Generalization
AAAI 2026
LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images
AAAI 2026
Diving into the Fusion of Monocular Priors for Generalized Stereo Matching
ICCV 2025
Large Language Models are Demonstration Pre-Selectors for Themselves
ICML 2025
Consistency of Compositional Generalization Across Multiple Levels
AAAI 2025
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
ICLR 2025
Multi-Sourced Compositional Generalization in Visual Question Answering
IJCAI 2025
World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving
AAAI 2025
Temporally Consistent Stereo Matching
ECCV 2024
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
NIPS 2024
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
NIPS 2024
Residual Hyperbolic Graph Convolution Networks
AAAI 2024
In-Context Compositional Generalization for Large Vision-Language Models
EMNLP 2024
Compositional Substitutivity of Visual Reasoning for Visual Question Answering
ECCV 2024
Learning Event-Relevant Factors for Video Anomaly Detection
AAAI 2023
Exploring Data Geometry for Continual Learning
CVPR 2023
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language
CVPR 2023
Marching-Primitives: Shape Abstraction From Signed Distance Function
CVPR 2023
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
IJCAI 2023
Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics
RSS 2023
Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks
ICCV 2023
Parameterized Cost Volume for Stereo Matching
ICCV 2023
Sparse Point Guided 3D Lane Detection
ICCV 2023
Global-Aware Registration of Less-Overlap RGB-D Scans
CVPR 2022
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
AAAI 2022
Efficient Riemannian Meta-Optimization by Implicit Differentiation
AAAI 2022
Robust and Accurate Superquadric Recovery: A Probabilistic Approach
CVPR 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
NIPS 2022
Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives
CVPR 2022
Maintaining Reasoning Consistency in Compositional Visual Question Answering
CVPR 2022
Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference
ECCV 2022
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
CVPR 2021
Curvature Generation in Curved Spaces for Few-Shot Learning
ICCV 2021
A Decomposition Model for Stereo Matching
CVPR 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
AAAI 2021
Personalized Response Generation via Generative Split Memory Network
NAACL 2021
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks
CVPR 2020
Semantics-Aware BERT for Language Understanding
AAAI 2020
Learning to Optimize on SPD Manifolds
CVPR 2020
DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension
AAAI 2020
Overcoming Language Priors in VQA via Decomposed Linguistic Representations
AAAI 2020
SG-Net: Syntax-Guided Machine Reading Comprehension
AAAI 2020
Revisiting Bilinear Pooling: A Coding Perspective
AAAI 2020
3D Shape Reconstruction From Images in the Frequency Domain
CVPR 2019
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos
CVPR 2017