b'Yizhou Yu'

research

∙ 07/19/2023

Improved Distribution Matching for Dataset Condensation

Dataset Condensation aims to condense a large dataset into a smaller one...

0 Ganlong Zhao, et al. ∙

research

∙ 06/30/2023

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

In this paper, we address a complex but practical scenario in semi-super...

0 Ganlong Zhao, et al. ∙

research

∙ 06/01/2023

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

During the diagnostic process, clinicians leverage multimodal informatio...

0 Hong-Yu Zhou, et al. ∙

research

∙ 04/04/2023

EGC: Image Generation and Classification via a Single Energy-Based Model

Learning image classification and image generation using the same set of...

9 Qiushan Guo, et al. ∙

research

∙ 04/04/2023

Multi-Level Contrastive Learning for Dense Prediction Task

In this work, we present Multi-Level Contrastive Learning for Dense Pred...

7 Qiushan Guo, et al. ∙

research

∙ 01/30/2023

Advancing Radiograph Representation Learning with Masked Record Modeling

Modern studies in radiograph representation learning rely on either self...

0 Hong-Yu Zhou, et al. ∙

research

∙ 01/30/2023

Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling

Protein representation learning has primarily benefited from the remarka...

0 Hong-Yu Zhou, et al. ∙

research

∙ 01/12/2023

Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation

Biomedical image segmentation plays a significant role in computer-aided...

18 Ruifei Zhang, et al. ∙

research

∙ 01/12/2023

Adaptive Context Selection for Polyp Segmentation

Accurate polyp segmentation is of great significance for the diagnosis a...

19 Ruifei Zhang, et al. ∙

research

∙ 01/11/2023

GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis

Self-supervised representation learning has been extremely successful in...

21 Hong-Yu Zhou, et al. ∙

research

∙ 01/06/2023

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation

Vessel segmentation is widely used to help with vascular disease diagnos...

12 Gangming Zhao, et al. ∙

research

∙ 12/02/2022

Geometry-Aware Network for Domain Adaptive Semantic Segmentation

Measuring and alleviating the discrepancies between the synthetic (sourc...

0 Yinghong Liao, et al. ∙

research

∙ 11/28/2022

RankDNN: Learning to Rank for Few-shot Learning

This paper introduces a new few-shot learning pipeline that casts releva...

0 Qianyu Guo, et al. ∙

research

∙ 10/27/2022

UNet-2022: Exploring Dynamics in Non-isomorphic Architecture

Recent medical image segmentation models are mostly hybrid, which integr...

0 Jiansen Guo, et al. ∙

research

∙ 10/14/2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization

Domain generalization (DG) enables generalizing a learning machine from ...

2 Chaoqi Chen, et al. ∙

research

∙ 08/19/2022

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis

During clinical practice, radiologists often use attributes, e.g. morpho...

11 Gangming Zhao, et al. ∙

research

∙ 08/05/2022

Neighborhood Collective Estimation for Noisy Label Identification and Correction

Learning with noisy labels (LNL) aims at designing strategies to improve...

1 Jichang Li, et al. ∙

research

∙ 07/31/2022

One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement

As an important upstream task for many medical applications, supervised ...

16 Zihao Yin, et al. ∙

research

∙ 07/29/2022

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Deep models trained with noisy labels are prone to over-fitting and stru...

2 Ganlong Zhao, et al. ∙

research

∙ 07/01/2022

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Although deep learning algorithms have been intensively developed for co...

8 Chengwei Pan, et al. ∙

research

∙ 06/06/2022

Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection

Domain Adaptive Object Detection (DAOD) focuses on improving the general...

7 Chaoqi Chen, et al. ∙

research

∙ 04/21/2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification

Due to its safety-critical property, the image-based diagnosis is desire...

8 Churan Wang, et al. ∙

research

∙ 03/29/2022

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Synthesizing a subject-specific pathology-free image from a pathological...

9 Yunlong Zhang, et al. ∙

research

∙ 03/24/2022

Compound Domain Generalization via Meta-Knowledge Encoding

Domain generalization (DG) aims to improve the generalization performanc...

2 Chaoqi Chen, et al. ∙

research

∙ 03/23/2022

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Recent Semi-Supervised Object Detection (SS-OD) methods are mainly based...

26 Qiushan Guo, et al. ∙

research

∙ 03/17/2022

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

This paper presents new hierarchically cascaded transformers that can im...

1 Yangji He, et al. ∙

research

∙ 02/22/2022

PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds

Semantic segmentation of point cloud usually relies on dense annotation ...

3 Yushuang Wu, et al. ∙

research

∙ 01/31/2022

BOAT: Bilateral Local Attention Vision Transformer

Vision Transformers achieved outstanding performance in many computer vi...

3 Tan Yu, et al. ∙

research

∙ 01/25/2022

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit

Automatic detection of polyps is challenging because different polyps va...

9 Jianwei Xu, et al. ∙

research

∙ 01/07/2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Recent advances in machine learning and prevalence of digital medical im...

9 Dingwen Zhang, et al. ∙

research

∙ 01/05/2022

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

The difficulties in both data acquisition and annotation substantially r...

7 Shu Zhang, et al. ∙

research

∙ 11/04/2021

Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

Pre-training lays the foundation for recent successes in radiograph anal...

24 Hong-Yu Zhou, et al. ∙

research

∙ 10/11/2021

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images

Quantitative estimation of the acute ischemic infarct is crucial to impr...

5 Kongming Liang, et al. ∙

research

∙ 10/08/2021

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition

Context, as referred to situational factors related to the object of int...

2 Mingzhou Liu, et al. ∙

research

∙ 09/07/2021

nnFormer: Interleaved Transformer for Volumetric Segmentation

Transformers, the default model of choices in natural language processin...

17 Hong-Yu Zhou, et al. ∙

research

∙ 08/24/2021

Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

Respiratory diseases, including asthma, bronchitis, pneumonia, and upper...

4 Gang Yu, et al. ∙

research

∙ 08/18/2021

ME-PCN: Point Completion Conditioned on Mask Emptiness

Point completion refers to completing the missing geometries of an objec...

1 Bingchen Gong, et al. ∙

research

∙ 08/16/2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Brain lesion segmentation provides a valuable tool for clinical diagnosi...

15 Xinru Zhang, et al. ∙

research

∙ 08/02/2021

GraphFPN: Graph Feature Pyramid Network for Object Detection

Feature pyramids have been proven powerful in image understanding tasks ...

12 Gangming Zhao, et al. ∙

research

∙ 07/31/2021

Multi-scale Matching Networks for Semantic Correspondence

Deep features have been proven powerful in building accurate dense seman...

2 Dongyang Zhao, et al. ∙

research

∙ 06/13/2021

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation

Medical imaging datasets usually exhibit domain shift due to the variati...

15 Chenxin Li, et al. ∙

research

∙ 05/31/2021

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

The analysis of organ vessels is essential for computer-aided diagnosis ...

16 Chenxin Li, et al. ∙

research

∙ 05/21/2021

Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection

Mammogram mass detection is crucial for diagnosing and preventing the br...

11 Yuhang Liu, et al. ∙

research

∙ 05/01/2021

Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering

Due to the severe lack of labeled data, existing methods of medical visu...

0 Haifan Gong, et al. ∙

research

∙ 04/21/2021

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

Instance level detection and segmentation of thoracic diseases or abnorm...

6 Jie Lian, et al. ∙

research

∙ 04/19/2021

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation

In semi-supervised domain adaptation, a few labeled samples per class in...

8 Jichang Li, et al. ∙

research

∙ 03/30/2021

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

Learning by imitation is one of the most significant abilities of human ...

26 Hong-Yu Zhou, et al. ∙

research

∙ 03/25/2021

I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors

Recent works on two-stage cross-domain detection have widely explored th...

14 Chaoqi Chen, et al. ∙

research

∙ 03/24/2021

Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization

Unsupervised domain adaptation (UDA) in semantic segmentation is a funda...

2 Xiangru Lin, et al. ∙

research

∙ 03/24/2021

Scene-Intuitive Agent for Remote Embodied Visual Grounding

Humans learn from life events to form intuitions towards the understandi...

1 Xiangru Lin, et al. ∙

Yizhou Yu

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