b'Jing Qin'

research

∙ 04/19/2023

Single-View View Synthesis with Self-Rectified Pseudo-Stereo

Synthesizing novel views from a single view image is a highly ill-posed ...

0 Yang Zhou, et al. ∙

research

∙ 04/10/2023

Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations

Motion detection has been widely used in many applications, such as surv...

0 Jing Qin, et al. ∙

research

∙ 03/14/2023

Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation

Deformable image registration is a fundamental task in medical image ana...

0 Jing Zou, et al. ∙

research

∙ 02/20/2023

Federated Gradient Matching Pursuit

Traditional machine learning techniques require centralizing all trainin...

0 Halyun Jeong, et al. ∙

research

∙ 12/05/2022

Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information

End-to-end generative methods are considered a more promising solution f...

0 Xudong Kang, et al. ∙

research

∙ 08/04/2022

UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration

High-confidence overlap prediction and accurate correspondences are crit...

9 Zhilei Chen, et al. ∙

research

∙ 08/01/2022

CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion

How will you repair a physical object with some missings? You may imagin...

9 Zhe Zhu, et al. ∙

research

∙ 07/17/2022

Editing Out-of-domain GAN Inversion via Differential Activations

Despite the demonstrated editing capacity in the latent space of a pretr...

0 Haorui Song, et al. ∙

research

∙ 07/02/2022

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Class distribution plays an important role in learning deep classifiers....

4 Wenao Ma, et al. ∙

research

∙ 07/01/2022

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Breast lesion detection in ultrasound is critical for breast cancer diag...

14 Zhi Lin, et al. ∙

research

∙ 06/20/2022

Dynamic Message Propagation Network for RGB-D Salient Object Detection

This paper presents a novel deep neural network framework for RGB-D sali...

9 Baian Chen, et al. ∙

research

∙ 06/16/2022

An Improved Normed-Deformable Convolution for Crowd Counting

In recent years, crowd counting has become an important issue in compute...

0 Xin Zhong, et al. ∙

research

∙ 06/09/2022

AGConv: Adaptive Graph Convolution on 3D Point Clouds

Convolution on 3D point clouds is widely researched yet far from perfect...

10 Mingqiang Wei, et al. ∙

research

∙ 06/02/2022

XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

Skin lesion segmentation from dermoscopy images is of great significance...

0 Jiacheng Wang, et al. ∙

research

∙ 05/26/2022

Tuning-parameter-free optimal propensity score matching approach for causal inference

Propensity score matching (PSM) is a pseudo-experimental method that use...

0 Yukun Liu, et al. ∙

research

∙ 05/04/2022

UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning

While the wisdom of training an image dehazing model on synthetic hazy d...

0 Yongzhen Wang, et al. ∙

research

∙ 04/25/2022

Robust Dual-Graph Regularized Moving Object Detection

Moving object detection and its associated background-foreground separat...

0 Jing Qin, et al. ∙

research

∙ 04/06/2022

Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning

The intricacy of rainy image contents often leads cutting-edge deraining...

0 Yiyang Shen, et al. ∙

research

∙ 03/26/2022

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution

Magnetic resonance imaging (MRI) can present multi-contrast images of th...

11 Guangyuan Li, et al. ∙

research

∙ 03/23/2022

Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds

Point normal, as an intrinsic geometric property of 3D objects, not only...

1 Haoran Zhou, et al. ∙

research

∙ 12/06/2021

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

Automatic delineation of organ-at-risk (OAR) and gross-tumor-volume (GTV...

11 Jiacheng Wang, et al. ∙

research

∙ 11/08/2021

Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network

We propose a novel shape-aware relation network for accurate and real-ti...

11 Jiacheng Wang, et al. ∙

research

∙ 10/08/2021

Boundary-aware Transformers for Skin Lesion Segmentation

Skin lesion segmentation from dermoscopy images is of great importance f...

0 Jiacheng Wang, et al. ∙

research

∙ 09/28/2021

Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video

Performing a real-time and accurate instrument segmentation from videos ...

0 Jiacheng Wang, et al. ∙

research

∙ 08/18/2021

Adaptive Graph Convolution for Point Cloud Analysis

Convolution on 3D point clouds that generalized from 2D grid-like domain...

0 Haoran Zhou, et al. ∙

research

∙ 08/06/2021

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting

Labeling is onerous for crowd counting as it should annotate each indivi...

6 Yongtuo Liu, et al. ∙

research

∙ 08/06/2021

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Single image dehazing is a challenging task, for which the domain shift ...

15 Ye Liu, et al. ∙

research

∙ 06/29/2021

Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models

Recently the shape-restricted inference has gained popularity in statist...

0 Geng Deng, et al. ∙

research

∙ 06/15/2021

Direction-aware Feature-level Frequency Decomposition for Single Image Deraining

We present a novel direction-aware feature-level frequency decomposition...

0 Sen Deng, et al. ∙

research

∙ 04/29/2021

Hand Gesture Recognition Based on a Nonconvex Regularization

Recognition of hand gestures is one of the most fundamental tasks in hum...

0 Jing Qin, et al. ∙

research

∙ 03/11/2021

Triple-cooperative Video Shadow Detection

Shadow detection in a single image has received significant research int...

6 Zhihao Chen, et al. ∙

research

∙ 03/10/2021

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Federated learning allows distributed medical institutions to collaborat...

12 Quande Liu, et al. ∙

research

∙ 03/06/2021

Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment

Automated surgical gesture recognition is of great importance in robot-a...

2 Xueying Shi, et al. ∙

research

∙ 02/13/2021

Regularized Kaczmarz Algorithms for Tensor Recovery

Tensor recovery has recently arisen in a lot of application fields, such...

0 Xuemei Chen, et al. ∙

research

∙ 12/04/2020

Research Progress of News Recommendation Methods

Due to researchers'aim to study personalized recommendations for differe...

0 Jing Qin, et al. ∙

research

∙ 10/14/2020

Incorporating survival data into case-control studies with incident and prevalent cases

Typically, case-control studies to estimate odds-ratios associating risk...

0 Soutrik Mandal, et al. ∙

research

∙ 07/06/2020

A Novel Regularization Based on the Error Function for Sparse Recovery

Regularization plays an important role in solving ill-posed problems by ...

0 Weihong Guo, et al. ∙

research

∙ 05/21/2020

MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images

Rain severely hampers the visibility of scene objects when images are ca...

13 Yiyang Shen, et al. ∙

research

∙ 04/08/2020

Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation

Segmenting overlapping cytoplasm of cells in cervical smear images is a ...

0 Youyi Song, et al. ∙

research

∙ 04/08/2020

CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images

Exploiting more information from ground truth (GT) images now is a new r...

0 Youyi Song, et al. ∙

research

∙ 02/22/2020

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...

10 Cheng Chen, et al. ∙

research

∙ 02/06/2020

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Unsupervised domain adaptation has increasingly gained interest in medic...

0 Cheng Chen, et al. ∙

research

∙ 09/23/2019

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery

Low-rank tensor recovery problems have been widely studied in many appli...

0 Rachel Grotheer, et al. ∙

research

∙ 09/05/2019

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

Automated skin lesion analysis is very crucial in clinical practice, as ...

0 Xueying Shi, et al. ∙

research

∙ 08/22/2019

Iterative Hard Thresholding for Low CP-rank Tensor Models

Recovery of low-rank matrices from a small number of linear measurements...

6 Rachel Grotheer, et al. ∙

research

∙ 08/18/2019

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

We propose a deep fully convolutional neural network with a new type of ...

9 Luming Liang, et al. ∙

research

∙ 08/04/2019

Full-semiparametric-likelihood-based inference for non-ignorable missing data

During the past few decades, missing-data problems have been studied ext...

0 Yukun Liu, et al. ∙

research

∙ 07/13/2019

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

Surgical tool presence detection and surgical phase recognition are two ...

2 Yueming Jin, et al. ∙

research

∙ 07/03/2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...

3 Yi Wang, et al. ∙

research

∙ 05/24/2019

Multi-Kernel Correntropy for Robust Learning

As a novel similarity measure that is defined as the expectation of a ke...

0 Badong Chen, et al. ∙

Jing Qin

Featured Co-authors