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08/17/2023
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation
We aim at incorporating explicit shape information into current 3D organ...
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08/02/2023
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation
This paper seeks to address the dense labeling problems where a signific...
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08/02/2023
A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil
Accurately predicting anesthetic effects is essential for target-control...
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07/14/2023
Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time
Uncertainty in timing information pertaining to the start time of microp...
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05/24/2023
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution
The capability of video super-resolution (VSR) to synthesize high-resolu...
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05/19/2023
Are Microphone Signals Alone Sufficient for Joint Microphones and Sources Localization?
Joint microphones and sources localization can be achieved by using both...
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05/19/2023
Justices for Information Bottleneck Theory
This study comes as a timely response to mounting criticism of the infor...
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03/20/2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Pose transfer aims to transfer a given person into a specified posture, ...
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01/03/2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
Image Virtual try-on aims at replacing the cloth on a personal image wit...
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07/28/2022
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Real-world image denoising is a practical image restoration problem that...
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07/26/2022
Criteria Comparative Learning for Real-scene Image Super-Resolution
Real-scene image super-resolution aims to restore real-world low-resolut...
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06/06/2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Real-world image super-resolution is a practical image restoration probl...
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05/23/2022
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which som...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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08/23/2020
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
Multi-view clustering methods have been a focus in recent years because ...
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02/25/2020
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
Different from traditional image super-resolution task, real image super...
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03/19/2019
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network
Predicting odor's pleasantness simplifies the evaluation of odors and ha...
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11/22/2018
Conditioning Optimization of Extreme Learning Machine by Multitask Beetle Antennae Swarm Algorithm
Extreme learning machine (ELM) as a simple and rapid neural network has ...
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10/09/2017
Does Normalization Methods Play a Role for Hyperspectral Image Classification?
For Hyperspectral image (HSI) datasets, each class have their salient fe...
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09/12/2017
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Although extreme learning machine (ELM) has been successfully applied to...
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09/08/2017
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
Although the sparse multinomial logistic regression (SMLR) has provided ...
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09/05/2017