Aming Wu

papers

273

total citations

papers (12)

Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation

ICCV 2023arXiv

citations

Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding

CVPR 2025

citations

Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection

CVPR 2025

citations

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection

CVPR 2025arXiv

citations

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning

NEURIPS 2025arXiv

citations

Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation

CVPR 2022

citations

Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder

CVPR 2023

citations

Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects

ICCV 2023

citations

Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery

CVPR 2022

citations

Aming Wu

papers (12)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

Universal-Prototype Enhancing for Few-Shot Object Detection

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation

Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding

Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning

Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation

Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder

Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects

Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery

papers (12)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

Universal-Prototype Enhancing for Few-Shot Object Detection

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation

Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding

Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning

Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation

Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder

Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects

Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery