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08/23/2023
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos
Non-photorealistic videos are in demand with the wave of the metaverse, ...
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08/10/2023
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
One critical challenge in 6D object pose estimation from a single RGBD i...
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07/17/2023
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
In this paper, we propose a novel network, SVDFormer, to tackle two spec...
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06/07/2023
Stochastic Natural Thresholding Algorithms
Sparse signal recovery is one of the most fundamental problems in variou...
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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 ...
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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...
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03/14/2023
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
Deformable image registration is a fundamental task in medical image ana...
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02/20/2023
Federated Gradient Matching Pursuit
Traditional machine learning techniques require centralizing all trainin...
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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...
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08/04/2022
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
High-confidence overlap prediction and accurate correspondences are crit...
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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...
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07/17/2022
Editing Out-of-domain GAN Inversion via Differential Activations
Despite the demonstrated editing capacity in the latent space of a pretr...
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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....
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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...
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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...
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06/16/2022
An Improved Normed-Deformable Convolution for Crowd Counting
In recent years, crowd counting has become an important issue in compute...
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06/09/2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Convolution on 3D point clouds is widely researched yet far from perfect...
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06/02/2022
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
Skin lesion segmentation from dermoscopy images is of great significance...
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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...
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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...
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04/25/2022
Robust Dual-Graph Regularized Moving Object Detection
Moving object detection and its associated background-foreground separat...
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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...
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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...
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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...
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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...
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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...
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10/08/2021
Boundary-aware Transformers for Skin Lesion Segmentation
Skin lesion segmentation from dermoscopy images is of great importance f...
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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 ...
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08/18/2021
Adaptive Graph Convolution for Point Cloud Analysis
Convolution on 3D point clouds that generalized from 2D grid-like domain...
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08/06/2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Labeling is onerous for crowd counting as it should annotate each indivi...
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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 ...
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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...
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06/15/2021
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
We present a novel direction-aware feature-level frequency decomposition...
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04/29/2021
Hand Gesture Recognition Based on a Nonconvex Regularization
Recognition of hand gestures is one of the most fundamental tasks in hum...
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03/11/2021
Triple-cooperative Video Shadow Detection
Shadow detection in a single image has received significant research int...
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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...
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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...
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02/13/2021
Regularized Kaczmarz Algorithms for Tensor Recovery
Tensor recovery has recently arisen in a lot of application fields, such...
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12/04/2020
Research Progress of News Recommendation Methods
Due to researchers'aim to study personalized recommendations for differe...
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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...
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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 ...
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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...
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04/08/2020
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation
Segmenting overlapping cytoplasm of cells in cervical smear images is a ...
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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...
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02/22/2020
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Accurate medical image segmentation commonly requires effective learning...
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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...
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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...
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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 ...
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08/22/2019
Iterative Hard Thresholding for Low CP-rank Tensor Models
Recovery of low-rank matrices from a small number of linear measurements...
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08/18/2019
