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08/11/2023
Zero-shot Text-driven Physically Interpretable Face Editing
This paper proposes a novel and physically interpretable method for face...
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07/17/2023
Zero-Shot Image Harmonization with Generative Model Prior
Recent image harmonization methods have demonstrated promising results. ...
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07/12/2023
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Mitosis detection is one of the fundamental tasks in computational patho...
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06/28/2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Leveraging vast training data (SA-1B), the foundation Segment Anything M...
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05/24/2023
Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences
Most contemporary supervised Remote Sensing (RS) image Change Detection ...
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05/14/2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Many existing adversarial attacks generate L_p-norm perturbations on ima...
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03/15/2023
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
The mainstream CNN-based remote sensing (RS) image semantic segmentation...
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03/03/2023
Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
High-resolution (HR) image harmonization is of great significance in rea...
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03/02/2023
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Recent popular Role-Playing Games (RPGs) saw the great success of charac...
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03/01/2023
Progressive Scale-aware Network for Remote sensing Image Change Captioning
Remote sensing (RS) images contain numerous objects of different scales,...
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02/24/2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
Histopathological tissue classification is a fundamental task in computa...
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02/16/2023
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
Despite its fruitful applications in remote sensing, image super-resolut...
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07/15/2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is cruc...
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05/27/2022
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Training deep learning-based change detection (CD) model heavily depends...
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05/18/2022
Remote Sensing Novel View Synthesis with Implicit Multiplane Representations
Novel view synthesis of remote sensing scenes is of great significance f...
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05/17/2022
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
Ultrasonography is an important routine examination for breast cancer di...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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02/27/2022
Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast
Tropical cyclone (TC) is an extreme tropical weather system and its traj...
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01/15/2022
Semantic decoupled representation learning for remote sensing image change detection
Contemporary transfer learning-based methods to alleviate the data insuf...
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11/04/2021
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
Histopathological tissue classification is a fundamental task in pathomi...
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10/14/2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Tissue-level semantic segmentation is a vital step in computational path...
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07/12/2021
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
The proliferation of remote sensing satellites has resulted in a massive...
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04/29/2021
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics
Early diagnosis of lung cancer is a key intervention for the treatment o...
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03/07/2021
Spatial-Spectral Feedback Network for Super-Resolution of Hyperspectral Imagery
Recently, single gray/RGB image super-resolution (SR) methods based on d...
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02/27/2021
Efficient Transformer based Method for Remote Sensing Image Change Detection
Modern change detection (CD) has achieved remarkable success by the powe...
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05/13/2020
SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation
Recently, Unsupervised Domain Adaptation (UDA) was proposed to address t...
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09/03/2019
Face-to-Parameter Translation for Game Character Auto-Creation
Character customization system is an important component in Role-Playing...
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05/13/2019