Jiawei Ma

papers

555

total citations

papers (11)

Few-Shot Object Detection With Fully Cross-Transformer

CVPR 2022arXiv

176

citations

Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks

ICCV 2021arXiv

131

citations

Partner-Assisted Learning for Few-Shot Image Classification

ICCV 2021arXiv

citations

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

CVPR 2023arXiv

citations

Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification

CVPR 2025arXiv

citations

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

ECCV 2020

citations

Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads

ECCV 2022

citations

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset

AAAI 2024

citations

Jiawei Ma

papers (11)

Few-Shot Object Detection With Fully Cross-Transformer

Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks

Partner-Assisted Learning for Few-Shot Image Classification

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

Supervised Masked Knowledge Distillation for Few-Shot Transformers

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition

MoDE: CLIP Data Experts via Clustering

Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset

papers (11)

Few-Shot Object Detection With Fully Cross-Transformer

Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks

Partner-Assisted Learning for Few-Shot Image Classification

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

Supervised Masked Knowledge Distillation for Few-Shot Transformers

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition

MoDE: CLIP Data Experts via Clustering

Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset