Yongjian Wu

papers

420

total citations

papers (17)

Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification

AAAI 2024arXiv

citations

Fine-Grained Data Distribution Alignment for Post-Training Quantization

ECCV 2022arXiv

citations

Interpretable Neural Network Decoupling

ECCV 2020arXiv

citations

Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

CVPR 2021

citations

RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words

CVPR 2021

citations

Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models

ICCV 2021

citations

Improving Adversarial Robustness via Information Bottleneck Distillation

NEURIPS 2023

citations

Occluded Person Re-identification via Saliency-Guided Patch Transfer

AAAI 2024

citations

UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection

NEURIPS 2020

citations

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation

ICCV 2021

citations

Learning Best Combination for Efficient N:M Sparsity

NEURIPS 2022

citations

Visual Textualization for Image Prompted Object Detection

ICCV 2025arXiv

citations

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation

CVPR 2021

citations

Yongjian Wu

papers (17)

Rotated Binary Neural Network

Image-to-Image Translation via Hierarchical Style Disentanglement

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack

Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks

Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification

Fine-Grained Data Distribution Alignment for Post-Training Quantization

Interpretable Neural Network Decoupling

Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words

Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models

Improving Adversarial Robustness via Information Bottleneck Distillation

Occluded Person Re-identification via Saliency-Guided Patch Transfer

UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation

Learning Best Combination for Efficient N:M Sparsity

Visual Textualization for Image Prompted Object Detection

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation

papers (17)

Rotated Binary Neural Network

Image-to-Image Translation via Hierarchical Style Disentanglement

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack

Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks

Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification

Fine-Grained Data Distribution Alignment for Post-Training Quantization

Interpretable Neural Network Decoupling

Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words

Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models

Improving Adversarial Robustness via Information Bottleneck Distillation

Occluded Person Re-identification via Saliency-Guided Patch Transfer

UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation

Learning Best Combination for Efficient N:M Sparsity

Visual Textualization for Image Prompted Object Detection

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation