b'Yun Liu'

research

∙ 09/15/2023

Efficient Polyp Segmentation Via Integrity Learning

Accurate polyp delineation in colonoscopy is crucial for assisting in di...

0 Ziqiang Chen, et al. ∙

research

∙ 09/14/2023

Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos

A key challenge with procedure planning in instructional videos lies in ...

0 Fen Fang, et al. ∙

research

∙ 08/09/2023

Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution

Transformer-based methods have exhibited remarkable potential in single ...

0 Ao Li, et al. ∙

research

∙ 07/11/2023

SAM^Med: A medical image annotation framework based on large vision model

Recently, large vision model, Segment Anything Model (SAM), has revoluti...

0 Chenglong Wang, et al. ∙

research

∙ 07/06/2023

Revisiting Computer-Aided Tuberculosis Diagnosis

Tuberculosis (TB) is a major global health threat, causing millions of d...

0 Yun Liu, et al. ∙

research

∙ 07/05/2023

Evaluating AI systems under uncertain ground truth: a case study in dermatology

For safety, AI systems in health undergo thorough evaluations before dep...

0 David Stutz, et al. ∙

research

∙ 06/01/2023

Using generative AI to investigate medical imagery models and datasets

AI models have shown promise in many medical imaging tasks. However, our...

4 Oran Lang, et al. ∙

research

∙ 05/16/2023

NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer

Nighttime image dehazing is a challenging task due to the presence of mu...

0 Yun Liu, et al. ∙

research

∙ 05/15/2023

Five A^+ Network: You Only Need 9K Parameters for Underwater Image Enhancement

A lightweight underwater image enhancement network is of great significa...

0 Jingxia Jiang, et al. ∙

research

∙ 05/09/2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning

Cardiovascular diseases (CVDs) are responsible for a large proportion of...

8 Wei-Hung Weng, et al. ∙

research

∙ 04/23/2023

Indiscernible Object Counting in Underwater Scenes

Recently, indiscernible scene understanding has attracted a lot of atten...

0 Guolei Sun, et al. ∙

research

∙ 03/23/2023

PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point Clouds

Self-supervised learning is attracting large attention in point cloud un...

0 Yun Liu, et al. ∙

research

∙ 03/13/2023

DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes

Varicolored haze caused by chromatic casts poses haze removal and depth ...

0 Sixiang Chen, et al. ∙

research

∙ 02/23/2023

RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement

Underwater images typically experience mixed degradations of brightness ...

0 Jingxia Jiang, et al. ∙

research

∙ 02/23/2023

Generative Sentiment Transfer via Adaptive Masking

Sentiment transfer aims at revising the input text to satisfy a given se...

0 Yingze Xie, et al. ∙

research

∙ 12/26/2022

Large Language Models Encode Clinical Knowledge

Large language models (LLMs) have demonstrated impressive capabilities i...

17 Karan Singhal, et al. ∙

research

∙ 12/14/2022

Deep Negative Correlation Classification

Ensemble learning serves as a straightforward way to improve the perform...

0 Le Zhang, et al. ∙

research

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

research

∙ 10/08/2022

Fourier Neural Solver for large sparse linear algebraic systems

Large sparse linear algebraic systems can be found in a variety of scien...

0 Chen Cui, et al. ∙

research

∙ 10/03/2022

Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration

Recently, image restoration transformers have achieved comparable perfor...

0 Sixiang Chen, et al. ∙

research

∙ 08/20/2022

SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing

Single image desnowing is a common yet challenging task. The complex sno...

2 Sixiang Chen, et al. ∙

research

∙ 08/19/2022

End-to-end Clinical Event Extraction from Chinese Electronic Health Record

Event extraction is an important work of medical text processing. Accord...

0 Wei Feng, et al. ∙

research

∙ 08/18/2022

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes

Current efficient LiDAR-based detection frameworks are lacking in exploi...

0 Yu-Huan Wu, et al. ∙

research

∙ 07/21/2022

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

The essence of video semantic segmentation (VSS) is how to leverage temp...

0 Guolei Sun, et al. ∙

research

∙ 07/19/2022

Discovering novel systemic biomarkers in photos of the external eye

External eye photos were recently shown to reveal signs of diabetic reti...

12 Boris Babenko, et al. ∙

research

∙ 07/12/2022

MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing

Image restoration of snow scenes in severe weather is a difficult task. ...

0 Sixiang Chen, et al. ∙

research

∙ 07/12/2022

Towards Real-time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-decoder Architecture

In winter scenes, the degradation of images taken under snow can be pret...

0 Tian Ye, et al. ∙

research

∙ 05/19/2022

Robust and Efficient Medical Imaging with Self-Supervision

Recent progress in Medical Artificial Intelligence (AI) has delivered sy...

24 Shekoofeh Azizi, et al. ∙

research

∙ 04/19/2022

Towards Efficient Single Image Dehazing and Desnowing

Removing adverse weather conditions like rain, fog, and snow from images...

7 Tian Ye, et al. ∙

research

∙ 04/08/2022

Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis

Lung cancer has the highest mortality rate of deadly cancers in the worl...

0 Chenglong Wang, et al. ∙

research

∙ 04/07/2022

Coarse-to-Fine Feature Mining for Video Semantic Segmentation

The contextual information plays a core role in semantic segmentation. A...

0 Guolei Sun, et al. ∙

research

∙ 03/22/2022

Joint Noise Reduction and Listening Enhancement for Full-End Speech Enhancement

Speech enhancement (SE) methods mainly focus on recovering clean speech ...

0 Haoyu Li, et al. ∙

research

∙ 03/21/2022

Underwater Light Field Retention : Neural Rendering for Underwater Imaging

Underwater Image Rendering aims to generate a true-to-life underwater im...

0 Tian Ye, et al. ∙

research

∙ 03/17/2022

Mutual Learning for Domain Adaptation: Self-distillation Image Dehazing Network with Sample-cycle

Deep learning-based methods have made significant achievements for image...

12 Tian Ye, et al. ∙

research

∙ 03/16/2022

Zero Pixel Directional Boundary by Vector Transform

Boundaries are among the primary visual cues used by human and computer ...

0 Edoardo Mello Rella, et al. ∙

research

∙ 03/16/2022

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset

Recognizing facts is the most fundamental step in making judgments, henc...

0 Feng Yao, et al. ∙

research

∙ 02/21/2022

The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition

This paper described the PCG-AIID system for L3DAS22 challenge in Task 1...

0 Jingdong Li, et al. ∙

research

∙ 11/11/2021

Uformer: A Unet based dilated complex real dual-path conformer network for simultaneous speech enhancement and dereverberation

Complex spectrum and magnitude are considered as two major features of s...

0 Yihui Fu, et al. ∙

research

∙ 08/17/2021

Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net

Existing salient object detection (SOD) methods mainly rely on CNN-based...

11 Yu Qiu, et al. ∙

research

∙ 08/04/2021

Boosting Few-shot Semantic Segmentation with Transformers

Due to the fact that fully supervised semantic segmentation methods requ...

0 Guolei Sun, et al. ∙

research

∙ 06/22/2021

P2T: Pyramid Pooling Transformer for Scene Understanding

This paper jointly resolves two problems in vision transformer: i) the c...

0 Yu-Huan Wu, et al. ∙

research

∙ 06/06/2021

Transformer in Convolutional Neural Networks

We tackle the low-efficiency flaw of vision transformer caused by the hi...

0 Yun Liu, et al. ∙

research

∙ 05/23/2021

Boosting Crowd Counting with Transformers

Significant progress on the crowd counting problem has been achieved by ...

0 Guolei Sun, et al. ∙

research

∙ 05/16/2021

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries

Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO r...

31 Sahar Kazemzadeh, et al. ∙

research

∙ 04/08/2021

Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions

We develop and rigorously evaluate a deep learning based system that can...

27 Abhijit Guha Roy, et al. ∙

research

∙ 01/15/2021

Coarse-grained decomposition and fine-grained interaction for multi-hop question answering

Recent advances regarding question answering and reading comprehension h...

0 Xing Cao, et al. ∙

research

∙ 12/24/2020

MobileSal: Extremely Efficient RGB-D Salient Object Detection

The high computational cost of neural networks has prevented recent succ...

13 Yu-Huan Wu, et al. ∙

research

∙ 12/24/2020

EDN: Salient Object Detection via Extremely-Downsampled Network

Recent progress on salient object detection (SOD) mainly benefits from m...

0 Yu-Huan Wu, et al. ∙

research

∙ 11/23/2020

Detecting hidden signs of diabetes in external eye photographs

Diabetes-related retinal conditions can be detected by examining the pos...

11 Boris Babenko, et al. ∙

research

∙ 11/17/2020

Interpretable Survival Prediction for Colorectal Cancer using Deep Learning

Deriving interpretable prognostic features from deep-learning-based prog...

42 Ellery Wulczyn, et al. ∙

Yun Liu

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