Chuang Zhu | DeepAI

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Featured Co-authors

Yu Zhang
406 publications
Yue Zhang
236 publications
Jie Li
179 publications
Jun Liu
179 publications
Jie Yang
158 publications
Ying Wang
84 publications
Tiejun Huang
59 publications
Yi Chen
52 publications
Feng Xu
50 publications
Shanghang Zhang
41 publications
Yao Guo
39 publications

∙ 08/25/2023

RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network

Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic seg...

0 Xinyang Huang, et al. ∙

∙ 05/13/2023

Temporal Consistent Automatic Video Colorization via Semantic Correspondence

Video colorization task has recently attracted wide attention. Recent me...

9 Yu Zhang, et al. ∙

∙ 05/10/2023

A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation (WSSS) based on image-level labe...

5 Guoqing Yang, et al. ∙

∙ 05/05/2023

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review

For invasive breast cancer, immunohistochemical (IHC) techniques are oft...

23 Chuang Zhu, et al. ∙

∙ 05/04/2023

Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning

In semi-supervised domain adaptation (SSDA), a few labeled target sample...

5 Xinyang Huang, et al. ∙

∙ 02/14/2023

Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation

The divergence between labeled training data and unlabeled testing data ...

1 Chuang Zhu, et al. ∙

∙ 10/07/2022

TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts

Explaining deep learning models is of vital importance for understanding...

12 Zhihao Wang, et al. ∙

∙ 10/05/2022

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels

Unsupervised domain adaptation (UDA) for semantic segmentation addresses...

25 Shengjie Liu, et al. ∙

∙ 04/25/2022

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

The evaluation of human epidermal growth factor receptor 2 (HER2) expres...

18 Shengjie Liu, et al. ∙

∙ 12/05/2021

Hard Sample Aware Noise Robust Learning for Histopathology Image Classification

Deep learning-based histopathology image classification is a key techniq...

0 Chuang Zhu, et al. ∙

∙ 12/04/2021

Construct Informative Triplet with Two-stage Hard-sample Generation

In this paper, we propose a robust sample generation scheme to construct...

0 Chuang Zhu, et al. ∙

∙ 12/04/2021

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

Objectives: To develop and validate a deep learning (DL)-based primary t...

12 Feng Xu, et al. ∙

∙ 12/02/2021

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

Imperfect labels are ubiquitous in real-world datasets and seriously har...

0 Wenkai Chen, et al. ∙

∙ 09/25/2021

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

Unsupervised person re-identification (Re-ID) is a promising and very ch...

0 Zheng Hu, et al. ∙

∙ 08/24/2021

Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark

In recent years, deep learning-based methods have shown promising result...

0 Shuhao Qiu, et al. ∙

∙ 08/24/2021

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

It is very challenging for various visual tasks such as image fusion, pe...

9 Xinyu Jia, et al. ∙

∙ 08/27/2020

Instance Adaptive Self-Training for Unsupervised Domain Adaptation

The divergence between labeled training data and unlabeled testing data ...

0 Ke Mei, et al. ∙

∙ 06/29/2020

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet

The automatic and objective medical diagnostic model can be valuable to ...

0 Chuang Zhu, et al. ∙

∙ 02/20/2020

Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning

Segmentation from renal pathological images is a key step in automatic a...

0 Ke Mei, et al. ∙

∙ 02/13/2019

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image

In this paper, we propose a novel method for highly efficient follicular...

2 Siyan Tao, et al. ∙

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