Fumin Shen

papers

707

total citations

papers (12)

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

ECCV 2022arXiv

citations

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

ICCV 2021arXiv

citations

Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing

CVPR 2021arXiv

citations

PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos

CVPR 2025

citations

What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images

CVPR 2020

citations

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

AAAI 2024

citations

Semi-Supervised Video Paragraph Grounding With Contrastive Encoder

CVPR 2022

citations

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

CVPR 2022

citations

Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion

CVPR 2024

citations

Fumin Shen

papers (12)

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Auto-Encoding Twin-Bottleneck Hashing

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing

PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos

What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

Semi-Supervised Video Paragraph Grounding With Contrastive Encoder

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion

papers (12)

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Auto-Encoding Twin-Bottleneck Hashing

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing

PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos

What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

Semi-Supervised Video Paragraph Grounding With Contrastive Encoder

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion